Feeds:
Posts
Comments

Archive for the ‘Reproductive Biology & Bio Instrumentation’ Category

Justice Ginsberg Written Dissent

Curator and Reporter: Larry H. Bernstein, MD, FCAP

 

This is the third of a series of four articles on Hobby Lobby and the consequences.

 

  • Where has the reason gone?

http://pharmaceuticalintelligence.com/2014/07/07/where-has-reason-gone-2/

  • Justice Ginsberg written dissent – Third Part

http://pharmaceuticalintelligence.com/2014/07/08/justice-ginsberg-written-dissent/

  • The physicians’ view of Supreme Court on an issue of public health

http://pharmaceuticalintelligence.com/2014/07/08/the-physicians-view-of-supreme-court-on-an-issue-of-public-health/

  •  Reason in Hobby Lobby

http://pharmaceuticalintelligence.com/2014/07/08/reason-in-hobby-lobby/

 

 

Justice Ginsberg Written Dissent

The dissenters deride as unfounded the Court’s new recognition of religious rights for for-profit corporations: Until this litigation, no decision of this Court recognized a for-profit corporation’s qualification for a religious exemption from a generally applicable law, whether under the Free Exercise Clause or RFRA.

The absence of such precedent is just what one would expect, for the exercise of religion is characteristic of natural persons, not artificial legal entities. As Chief Justice Marshall observed nearly two centuries ago,   a corporation is “an artificial being, invisible, intangible, and existing only in contemplation of law.

 Trustees of Dartmouth College v. Woodward, 4 Wheat. 518, 636 (1819). Corporations, Justice Stevens more recently reminded, “have no consciences, no beliefs, no feelings, no thoughts, no desires.” Citizens United v. Federal Election Comm’n, 558 U. S. 310, 466 (2010) (opinion concurring in part and dissenting in part). The First Amendment’s free exercise protections, the Court has indeed recognized, shelter churches and other nonprofit religion-based organizations. “For many individuals, religious activity derives meaning in large measure from participation in a larger religious community,” and “furtherance of the autonomy of religious organizations often furthers individual religious freedom as well.”  The Court’s “special solicitude to the rights of religious organizations,” however, is just that. No such solicitude is traditional for commercial organizations.

Indeed, until today, religious exemptions had never been extended to any entity operating in “the commercial, profit-making world.”  The reason why is hardly obscure. Religious organizations exist to foster the interests of persons subscribing to the same religious faith. Not so of for-profit corporations. Workers who sustain the operations of those corporations commonly are not drawn from one religious community. Indeed, by law, no religion-based criterion can restrict the work force of for-profit corporations.

The distinction between a community made up of believers in the same religion and one embracing persons of diverse beliefs, clear as it is, constantly escapes the Court’s attention. One can only wonder why the Court shuts this key difference from sight. But even if these for-profit corporations can maintain religious beliefs, this doesn’t really burden them: Undertaking the inquiry that the Court forgoes, (dissent) would conclude that

the connection between the families’ religious objections and the contraceptive coverage requirement is too attenuated to rank as substantial. The requirement carries no command that Hobby Lobby or Conestoga purchase or provide the contraceptives they find objectionable.

Instead, it calls on the companies covered by the requirement to direct money into undifferentiated funds that finance a wide variety of benefits under comprehensive health plans. Those plans, in order to comply with the ACA, must offer contraceptive coverage without cost sharing, just as they must cover an array of other preventive services.

Importantly, the decisions whether to claim benefits under the plans are made not by Hobby Lobby or Conestoga, but by the covered employees and dependents, in consultation with their health care providers.

Should an employee of Hobby Lobby or Conestoga share the religious beliefs of the Greens and Hahns, she is of course under no compulsion to use the contraceptives in question. But “[n]o individual decision by an employee and her physician—be it to use contraception, treat an infection, or have a hip replaced—is in any meaningful sense [her employer’s] decision or action.”

It is doubtful that Congress, when it specified that burdens must be “substantia[l],” had in mind a linkage thus interrupted by independent decisionmakers (the woman and her health counselor) standing between the challenged government action and the religious exercise claimed to be infringed. Any decision to use contraceptives made by a woman covered under Hobby Lobby’s or Conestoga’s plan will not be propelled by the Government, it will be the woman’s autonomous choice, informed by the physician she consults.

And let’s be clear: these are truly compelling governmental interests: To recapitulate, the mandated contraception coverage enables women to avoid the health problems unintended pregnancies may visit on them and their children.The coverage helps safeguard the health of women for whom pregnancy may be hazardous, even life threatening. See Brief for American College of Obstetricians and Gynecologists et al. as Amici Curiae 14–15. And the mandate secures benefits wholly unrelated to pregnancy, preventing certain cancers, menstrual disorders, and pelvic pain. …

It bears note in this regard that the cost of an IUD is nearly equivalent to a month’s full-time pay for workers earning the minimum wage; that almost one-third of women would change their contraceptive method if costs were not a factor; and that only one-fourth of women who request an IUD actually have one inserted after finding out how expensive it would be. See also Eisenberg, supra, at S60 (recent study found that women who face out-of-pocket IUD costs in excess of $50 were “11-times less likely to obtain an IUD than women who had to pay less than $50”); Postlethwaite, Trussell, Zoolakis, Shabear, & Petitti, A Comparison of Contraceptive Procurement Pre- and Post-Benefit Change, 76 Contraception 360, 361–362 (2007) (when one health system eliminated patient cost sharing for IUDs, use of this form of contraception more than doubled).

As for the “let the government pay” alternative, the dissenters find it lacking: Impeding women’s receipt of benefits “by requiring them to take steps to learn about, and to sign up for, a new [government funded and administered] health benefit” was scarcely what Congress contemplated. Ibid. More-over, Title X of the Public Health Service Act  “is the nation’s only dedicated source of federal funding for safety net family planning services … Safety net programs like Title X are not designed to absorb the unmet needs of . . . insured individuals.”

And where is the stopping point to the “let the government pay” alternative? Suppose an employer’s sincerely held religious belief is offended by health coverage of vaccines, or paying the minimum wage, or according women equal pay for substantially similar work? Does it rank as a less restrictive alternative to require the government to provide the money or benefit to which the employer has a religion-based objection?… Conestoga suggests that, if its employees had to acquire and pay for the contraceptives (to which the corporation objects) on their own, a tax credit would qualify as a less restrictive alternative.

A tax credit, of course, is one variety of “let the government pay.” In addition to departing from the existing employer-based system of health insurance, Conestoga’s alternative would require a woman to reach into her own pocket in the first instance, and it would do nothing for the woman too poor to be aided by a tax credit.

In sum, in view of what Congress sought to accomplish, i.e., comprehensive preventive care for women furnished through employer-based health plans, none of the proffered alternatives would satisfactorily serve the compelling interests to which Congress responded. And, in conclusion, the dissenters warn about what’s next: Hobby Lobby and Conestoga surely do not stand alone as commercial enterprises seeking exemptions from generally applicable laws on the basis of their religious beliefs.

See, e.g.,Newman v. Piggie Park Enterprises, Inc., 256 F. Supp. 941, 945 (SC 1966) (owner of restaurant chain refused to serve black patrons based on his religious beliefs opposing racial integration); In re Minnesota ex rel. McClure, 370 N. W. 2d 844, 847 (Minn. 1985) (born-again Christians who owned closely held, for-profit health clubs believed that the Bible proscribed hiring or retaining an “individua[l] living with but not married to a person of the opposite sex,”

“a young, single woman working without her father’s consent or a married woman working without her husband’s consent,” and any person “antagonistic to the Bible,” including “fornicators and homosexuals” (internal quotation marks omitted)), appeal dismissed, 478 U. S. 1015 (1986) ; Elane Photography, LLC v. Willock, 2013–NMSC–040, _ N. M. _, 309 P. 3d 53 (for-profit photography business owned by a husband and wife refused to photograph a lesbian couple’s commitment ceremony based on the religious beliefs of the company’s owners), cert. denied, 572 U. S. _ (2014).

Would RFRA require exemptions in cases of this ilk? And if not, how does the Court divine which religious beliefs are worthy of accommodation, and which are not? Isn’t the Court disarmed from making such a judgment given its recognition that “courts must not presume to determine . . . the plausibility of a religious claim”? Would the exemption the Court holds RFRA demands for employers with religiously grounded objections to the use of certain contraceptives extend to employers with religiously grounded objections to blood transfusions (Jehovah’s Witnesses); antidepressants (Scientologists); medications derived from pigs, including anesthesia, intravenous fluids, and pills coated with gelatin (certain Muslims, Jews, and Hindus); and vaccinations (Christian Scientists, among others)?

According to counsel for Hobby Lobby, “each one of these cases . . . would have to be evaluated on its own . . . apply[ing] the compelling interest-least restrictive alternative test.” Not much help there for the lower courts bound by today’s decision. … There is an overriding interest, I believe, in keeping the courts “out of the business of evaluating the relative merits of differing religious claims,” or the sincerity with which an asserted religious belief is held. Indeed, approving some religious claims while deeming others unworthy of accommodation could be “perceived as favoring one religion over another,” the very “risk the Establishment Clause was designed to preclude.”

The Court, I fear, has ventured into a minefield by its immoderate reading of RFRA. I would confine religious exemptions under that Act to organizations formed “for a religious purpose,” “engage[d] primarily in carrying out that religious purpose,” and not “engaged . . . substantially in the exchange of goods or services for money beyond nominal amounts.” ORIGINALLY POSTED TO ADAM B ON MON JUN 30, 2014 AT 09:05 AM PDT. TAGS  1st Amendment Affordable Care Act contraceptive mandate Health Care Hobby Lobby   Religious Freedom SCOTUS Supreme Court

Read Full Post »

Physicians’ View of Supreme Court on an Issue of Public Health

Curator: Larry H. Bernstein, MD, FCAP

  • Where has the reason gone?

http://pharmaceuticalintelligence.com/2014/07/07/where-has-reason-gone-2/

  • Justice Ginsberg written dissent – Third Part

http://pharmaceuticalintelligence.com/2014/07/08/justice-ginsberg-written-dissent/

  • The physicians’ view of Supreme Court on an issue of public health

http://pharmaceuticalintelligence.com/2014/07/08/the-physicians-view-of-supreme-court-on-an-issue-of-public-health/

  •  Reason in Hobby Lobby

http://pharmaceuticalintelligence.com/2014/07/08/reason-in-hobby-lobby/

 

Physicians’ View of Supreme Court on an Issue of Public Health

The physicians are under considerable stress.  They have a minimum of 8 years of post graduate university education to practice as a generalist or  in a medical, pediatric, gynecological or surgical related specialty.  A significant loss is incurred in the cost of loans for education to many. A significant sacrifice is made in time for family.  A primary obligation is incurred toward the wellbeing of the patient, and the community that has to be respected and protected by civil law.

 

Supreme Court Issues Hobby Lobby Decision

By Joyce Frieden, News Editor, MedPage Today  Published: Jun 30, 2014

The Supreme Court has struck down the Affordable Care Act requirement that employers must include no-cost contraceptive coverage in employee health insurance plans. The 5-4 decision decision issued today in the Hobby Lobby case (Burwell v. Hobby Lobby Stores, Inc.) follows conflicting appellate court rulings in cases involving businesses that objected to the ACA’s birth control requirement on religious grounds. The businesses said the ACA stepped on their religious freedoms.

The 2010 health law mandates that all health plans provide preventive services — including birth control — free of cost-sharing. But some corporations — most notably arts-and-crafts giant Hobby Lobby and its sister company Mardel, a Christian bookstore chain — sued the Department of Health and Human Services to be exempted from having to comply with the mandate. In its 5-4 decision, written by Justice Samuel Alito, the Court ruled that the mandate violates the Religious Freedom Restoration Act of 1993, “which prohibits the ‘Government [from] substantially burden[ing] a person’s exercise of religion’” unless it shows that doing so is “in furtherance of a compelling governmental interest” and “is the least restrictive means” of doing do. The decision summary also notes that the Department of Health and Human Serivces (HHS) “argues that the companies cannot sue because they are for-profit corporations, and that the owners cannot sue because the regulations apply only to the companies, but that would leave merchants with a difficult choice:

  • give up the right to seek judicial protection of their religious liberty or forgo the benefits of operating as corporations.

RFRA’s text shows that Congress designed the statute to provide very broad protection for religious liberty and did not intend to put merchants to such a choice.” Donna Harrison, MD, executive director of the American Association of Pro-Life Obstetricians & Gynecologists (AAPLOG), noted that Hobby Lobby was in particular objecting to very specific contraceptives — the emergency contraceptive Ella and intrauterine devices, which she noted are capable of killing embryos, either by preventing their implantation or killing them after they have been implanted.

Art Caplan, PhD, director of the medical ethics division at the NYU Langone Medical Center in New York City, oberved “decision could have a very negative impact” on women’s ability to obtain contraception,  and “it could affect many women even if only a small percentage of companies followed suit.” “The other problem,” he told MedPage Today in a video interview, “is that if your employer says ‘I’m not covering contraception,’ you may decide to go with methods that don’t involve pharmaceutical control, or you may rely on something like emergency contraception” — decisions that could lead to more abortions, which would be

  • an ironic outcome since many employers’ objections to contraception revolve around their objections to abortion.

Harrison, of AAPLOG, noted that the decision should be reassuring to physicians who object to prescribing particular forms of contraception that they see as abortifacients, since insurers may have been considering excluding such doctors from their provider networks if the mandate had been upheld. “This will help incentivize insurers to not exclude ‘conscientious doctors’ from their networks,” she said.

More Physician Groups Weigh In

Many of the other physician groups issuing statements today expressed disappointment in the ruling.

“Allowing for-profit employers to exclude coverage for contraception is itself deeply concerning because of the demonstrated adverse impact it will have on women’s health,” David Fleming, MD, president of the American College of Physicians, said in a statement. “And, “the ruling clearly does not preclude for-profit employers from challenging such mandates (vaccinations), or the courts from granting further coverage exemptions.”

Rebecca Sokol, MD, president of the American Society for Reproductive Medicine in Washington, said in a statement that her organization “profoundly disagrees” with the decision. “Allowing an employer to impose their beliefs about reproduction on their staff is simply wrong, particularly when those beliefs are

  • so clearly misinformed on the scientific and medical facts,” Sokol said.

“In no other field of medicine do we allow employers to substitute their judgment for that of patients and physicians; it should not be allowed just because the subject matter is reproduction.”

Between Women and Their Physicians

Lin-Fan Wang, MD, reproductive health advocacy fellow at Physicians for Reproductive Health in New York City, said in a video interview that

  • “decisions about contraception should really be made between a woman and her doctor, and not by her employer.”

Wang recounted the story of one of her own patients, a woman who had recently had a baby and then went back to work, and was having trouble remembering to take her birth control pills. “She chose one of the intrauterine devices … because it was one of the most effective forms of contraception and she didn’t have to think about it every day,” she said. “Luckily her insurance plan covered the cost of this very expensive form of contraception, but

  • under the ruling today, patients like [her] might not be able to choose that method

and she may end up having to choose a method that is hard for her to take or she’s not happy with.” Reproductive rights groups also expressed their concerns. Bebe Anderson, JD, director of the U.S. Legal Program at the Center for Reproductive Rights in New York City, called the decision “an affront to women of this country.”

“As Justice [Ruth Bader] Ginsburg recognized in her dissent, this decision makes it very difficult for women to get some of the best long-acting reversible forms of contraception,” Anderson told MedPage Today in a video interview. “For example, IUDs are as expensive as 1 month’s pay for someone working at minimum wage.”

Cecile Richards, president of the Planned Parenthood Action Fund, called the ruling “stunning.” On a call with reporters she said it was no coincidence that the majority opinion was decided by five male justices. “It is endlessly frustrating for women that decisions about their healthcare are being made by people who never need to use birth control, and it is no coincidence that all three women on the court signed today’s dissent,” Richards said. On the same call, Marcia Greenberger, co-president of the National Women’s Law Center, said the decision was “a bitter pill for women to swallow …These [plaintiffs] and other closely held companies

  • will now have license to harm their female employees in the name of the company’s religion, and
  • ignore the moral and practical considerations of women themselves.”

Other Implications

Several commenters noted that, although the majority opinion specifically states that this ruling does not apply to religious objections to other healthcare benefits such as vaccinations and blood transfusions, this opens up the way for plaintiffs to sue about those as well. “Regardless of what they said, they’ve opened Pandora’s box and set a precedent,” said Ilyse Hogue, president of NARAL Pro-Choice America. The Tenth Circuit Court of Appeals in Denver ruled in June 2013 that

  • Hobby Lobby should be given the opportunity to show its religious beliefs would be violated by either complying with the law or being forced to pay large fines.

Hobby Lobby faced penalties amounting to $1.3 million a day starting in the summer of 2013 if it didn’t provide FDA-approved contraceptive methods in its self-insured health plans, which cover 13,000 employees. But a court issued an injunction in July that prevented the penalty from taking effect.

A rule from HHS finalized last summer exempted churches and other nonprofit religious organizations that object to contraceptive coverage. But private businesses such as Hobby Lobby weren’t exempt. UPDATE: This article, originally published on June 30 at 10:18 EDT, was updated with new material at 19:12 EDT.  

When Religious Freedom Clashes with Access to Care

Glenn Cohen, J.D., Holly Fernandez Lynch, J.D., M.Bioethics, and Gregory D. Curfman, M.D.

July 2, 2014 DOI: 10.1056/NEJMp1407965

At the tail end of this year’s Supreme Court term, religious freedom came into sharp conflict with the government’s interest in providing affordable access to health care. In a consolidated opinion inBurwell v. Hobby Lobby Stores and Conestoga Wood Specialties Corp. v. Burwell (collectively known as Hobby Lobby) delivered on June 30, the Court sided with religious freedom, highlighting the limitations of our employment-based health insurance system.

Hobby Lobby centered on the contraceptives-coverage mandate, which derived from the Affordable Care Act (ACA) mandate that many employers offer insurance coverage of certain “essential” health benefits, including coverage of “preventive” services without patient copayments or deductibles. The ACA authorized the Department of Health and Human Services (HHS) to define the scope of those preventive services, a task it delegated to the Institute of Medicine, whose list included all 20 contraceptive agents approved by the Food and Drug Administration. HHS articulated various justifications for the resulting mandate, including the fact that many Americans have difficulty affording contraceptives despite their widespread use and

  • the goal of avoiding a disproportionate financial burden on women.

Under the regulation, churches are exempt from covering contraception for their employees, and nonprofit religious organizations may apply for an “accommodation,” which shifts to their insurance companies (or other third parties) the responsibility for providing free access. However,

  • HHS made no exception for for-profit, secular businesses with religious owners.

Hobby Lobby, a craft-store chain with more than 13,000 employees, is a closely held, for-profit corporation owned by a Protestant family that operates the business in accordance with its Christian principles — for example, donating a portion of proceeds to Christian missions and remaining closed on Sundays. The family does not object to providing coverage for some contraceptives, but

  • it challenged the mandate because it includes contraceptive methods that the family believes cause abortion by preventing implantation of a fertilized egg.

The challenge in Hobby Lobby was not about the Constitution or its First Amendment. Rather, it hinged on the Religious Freedom Restoration Act of 1993 (RFRA), which was Congress’s response to a Supreme Court decision holding that

  1. even if a law in fact burdened religion, it could stand as long as it was not intended to burden religion (was “neutral”),
  2. applied without regard to religious beliefs or practices (was “generally applicable”), and
  3. was rationally related to a legitimate government interest — a low bar.

RFRA applies when a federal law is deemed to “substantially” burden a person’s exercise of religion, even if it is neutral and generally applicable. Such laws may be enforced against religious objectors only when they further a compelling government interest using the least restrictive means available. This is the most demanding standard of judicial review, and few laws meet its requirements. In a 5-to-4 decision the Court found that the contraceptives-coverage mandate did not.

In its RFRA analysis, the Court had to address several key questions:

  1. Are closely held, for-profit corporations “persons” for the purposes of RFRA protection?
  2. Can corporations exercise religion?
  3. Does the contraceptives-coverage mandate substantially burden religion?
  4. Does the mandate advance a compelling government interest? And
  5. are there less restrictive alternatives that would achieve the same result?

In a ruling in which Justice Samuel Alito wrote for the majority (joined by Chief Justice John Roberts and Justices Antonin Scalia, Anthony Kennedy, and Clarence Thomas), the mandate came up short. The majority concluded that RFRA was intended to protect even for-profit corporations and that

  • corporations may exercise religion,
  • rejecting as unreasonable any definition of “person” that would include some but not all corporations.

The majority also concluded that the mandate did place a substantial burden on the companies’ religious beliefs, given the dramatic financial consequences of noncompliance (for example, Hobby Lobby would have faced a fine of $475 million per year) and

  • the fact that the government had extended other exemptions and accommodations in recognition of that burden.

The majority assumed that the government has a compelling interest in promoting free access to contraceptive agents, but it held that

  • the government had failed to advance that interest in the least restrictive way, given
  • the possibility of extending its existing exemptions and accommodations to for-profit corporations

Thus, the Court held that as applied to closely held, for-profit corporations with religious objections, the mandate violates RFRA. It was careful, however, to restrict the decision to the case before it, refraining from opining on the implications for other types of employers or objections to other health care services, which it cautioned must be addressed on a case-by-case basis. Nonetheless, the case may have broad practical impact, since

  • approximately 90% of all U.S. companies are closely held, and
  • “closely held” is not synonymous with “small.”

Justice Ruth Bader Ginsburg issued a sharp dissent, in which she was joined by Justice Sonia Sotomayor and in large part by Justices Elena Kagan and Stephen Breyer. Delivering her opinion from the bench, Justice Ginsburg underscored the burden that the majority decision would allow to be placed on women in favor of religious objectors:

“Today’s potentially sweeping decision . . . discounts the disadvantages religion-based opt outs impose on others, in particular, employees who do not share their employer’s religious beliefs.”

Hobby Lobby‘s outcome is of concern to U.S. health care professionals because

  • our health insurance system is still largely dependent on employers.
  • Employers and employees may have fundamentally different perspectives on which medical interventions are acceptable,
  • particularly when the employer’s fundamental mission is not to advance specific religious beliefs and
    • its employees are therefore unlikely to be drawn exclusively from its own religious group.

The Court’s decision allows the beliefs of employers of various sizes and corporate forms to trump the beliefs and needs of their employees, potentially influencing the types of care that will be affordable and accessible to individuals and permitting employers to intrude on clinician–patient relationships.

The case also has important implications for efforts to achieve compromise between religious freedom and health care access. The Obama administration’s attempts to compromise on the contraceptives-coverage mandate ultimately backfired, since its efforts were used to demonstrate that

  • applying the mandate even to secular employers was not necessarily the only way to achieve the government’s interests.

In the future, regulators may be less willing to seek compromise lest their efforts be similarly used against them — and it is bad news for all of us if health policy can be made only through polarization and rancor rather than compromise. On the other hand, in other contraceptives-mandate cases working their way through the courts, nonprofit religious employers argue that the government’s accommodations do not go far enough in protecting their religious freedom, essentially requiring them to deputize a third party to commit what they think is a sin on their behalf.

Finally, in the wake of Hobby Lobby, we may anticipate challenges to other medical services that some religions find objectionable, such as vaccinations, infertility treatments, blood transfusions, certain psychiatric treatments, and even hospice care. Hobby Lobby‘s implications may also extend into civil rights law, with employers asking to “opt out” of laws intended to protect people from employment and housing discrimination based on religion, race, sex, national origin, or pregnancy status. Although the majority deemed these slippery-slope concerns unrealistic, the dissent expressed serious concerns.

Though the decision applies only to closely held, for-profit corporations, it sets a precedent for religious exemptions that could have sweeping implications — and reflects the Supreme Court’s great potential impact on U.S. health care. Yet the Court was applying Congress’s statute, and

  • Congress could, if it chose, scale back the protection offered to religious objectors — a good reason to share public reactions to the decision with our elected representatives.

BUFFER ZONES, BUBBLE ZONES, AND ABORTION CLINICS — ANOTHER WOMEN’S HEALTH CASE

In 2000, concerned about clashes between antiabortion protesters and women seeking abortions, the Massachusetts legislature established an 18-ft radius around the entrances and driveways of facilities providing abortions and specified that within that area, no person could, without consent, approach within 6 ft of another person (a so-called “bubble zone”) for the purpose of protesting, leafleting, counseling, or education. In 2007, the legislature concluded that law was not effective enough and increased its stringency, imposing a 35-ft fixed buffer zone with few exceptions. The law was challenged on free-speech grounds in a case called McCullen v. Coakley, and on June 26, 2014, the U.S. Supreme Court unanimously struck it down as unconstitutional.

The lead opinion by Chief Justice John Roberts, joined by four other justices, noted that sidewalks and public ways hold a “special position in terms of First Amendment protection because of their historic role as sites for discussion and debate.” Although it was abortion that had motivated the statute, the Court held that the law was content- and viewpoint-neutral: it did not focus on what was said but on where it was said, and it burdened all speech, not merely disfavored speech.

On this point, the four remaining justices disagreed. Nevertheless, the Court held that the statute failed the second part of the relevant constitutional test because it was not “narrowly tailored to serve a significant governmental interest.” In particular, though the Court recognized that the buffer zones furthered the state’s interests in “ensuring public safety” on streets and sidewalks and in “preserving access to adjacent healthcare facilities,” it determined that

  • the law problematically criminalized not only protests,
  • but also sidewalk counseling, which could not be done at a distance of 35 ft.
  • It also found that the buffer zones burdened “substantially more speech than necessary to achieve” the state’s interest

and suggested a plethora of less intrusive means the state could have used instead, some of which are used in other states.

Although the decision deals another blow to abortion rights, that blow is not as substantial as some had feared: the finding that the law was content- and viewpoint-neutral allows for the possibility that Massachusetts and other states could pass similar but narrower laws. Moreover, the Court left open the future of the floating “bubble zone” around women approaching clinics for abortions — the strategy that Massachusetts had used from 2000 to 2007 and one that the Court upheld in a Colorado case in 2000. Several justices, however, indicated a willingness to revisit that decision in future litigation.

See §§2000bb–1(a), (b) (requiring the Government to “demonstrat[e] that application of [a substantial] burden to the person . . . is the least restrictive means of furthering [a] compelling governmental interest” (emphasis added)).

Read Full Post »

Larry H. Bernstein, MD, FCAP, Wtiter and Curator

http:///pharmaceuticalintelligence.com/5/7/2014/where_has_reason_gone?

Update 8 July 2014

 

This will be a series of presentations on the Supreme Court decision on Hobby Lobby, it’s impact, and the distamce it places on Chief Justic Roberts’ decision to go with a 5-4 majority after this year achieving a direction of concensus largely undivided decisions.  Both Justice Kennedy and Chief Justice Roberts could have taken a different position with a much appreciated decision, or the alternative was to send the case back to the lower court.  That did not happen, and the consequences are unfolding.

  1. Where has the reason gone?
  2. Justice Ginsberg written dissent
  3. The physicians’ view of Supreme Court on an issue of public health
  4.  Reason in Hobby Lobby

We are in a period of widespread instability that is bereft of  comprehensibility, not just in Asia, the Middle East, and Africa, but also imposing constrainsts on our constitutional government.  This web sight is concerned with science and also health.  Science is challenged to figure out the complexity of biology and the physical world.  But it has been challenged for centuries by an uncompromizing view of how to organize a society, driven by hatred and violence, and excused by fanatical views. We have a most advanced society in the US, self selected to be the leader of nations.  Yet we have a separation of powers in the presidency, two houses of Congress, and a judiciary that cannot function for the good of the people.  The Congress is at war within itself , unable to carry out its obligations, and only functioning to blockade the presidential authority.

But most disconcerting is a third branch, the judiciary, with Supreme Court Justices, all of whom are political appointmnt for LIFE, and half of who have shown sufficient incompetence to wonder how they can stay in office.  Perhaps, what we don’t have to keep them in line is a periodic review of performance by the American Association of Legal Constitutional Scholars.  What we have is as good as it gets, but not good enough. I refrain from saying more, and proceed to the most recent ABSURD events.   In the Hobby Lobby case, the Court’s conservative majority held that closely held corporations are entitled to some of the same religious rights as people. That means corporations can decide whether or not birth control is covered in the health plans of female employees. Corporations are not people, period. A boss’s religious views should not trump a physician’s medical judgement or a woman’s considered need .

The White House must move fast on expanding contraception coverage.

One proposal…would assign companies’ insurers or health plan administrators for contraceptive coverage… Another would give the administration itself a larger role.” Robert Pear and Adam Liptak in The New York Times.

A rare but potentially important dissent?

“Dissents to Supreme Court orders are rare, and a 17-page dissent to a curt, four-paragraph order is extraordinary. But Sotomayor is on to something: What the majority did in Hobby Lobby, was to allow the plaintiff also to determine what constitutes a ‘substantial burden’ upon it.” Daniel Fisher in Forbes.

Here’s what everyone has been missing in this debate.

“Ginsburg, in her scathing dissent…made an important point about women’s health that’s been almost entirely overlooked elsewhere: For many American women, the birth-control pill has nothing to do with controlling births. It’s a life-saving medicine….The decision…may affect millions of women who suffer from a variety of medical conditions. These women depend on the pill to regulate their hormones and do everything from ease pain to reduce the risk of cancer. These medical benefits have nothing to do with sex or the prevention of pregnancy….Even if these women never have sex once in their lives, they need to be on birth control.” Lucia Graves in National Journal.

“The share of privately insured women who got their birth control pills without a copayment jumped to 56 percent, from 14 percent in 2012. The law’s requirement that most health plans cover birth control as prevention, at no additional cost to women, took full effect in 2013. The average annual saving for women was $269.” Ricardo Alonso-Zaldivar in the Associated Press.

In Hobby Lobby, Supremes grant religious objection rights to for-profit corporations.

by Adam  B In a widely-awaited-but-still-85 percent-as-sucky-as-you-feared 5-4 decision this morning,the Supreme Court of the United States has held that for-profit corporations are “persons” for purposes of the Religious Freedom Restoration Act, and that their religious rights were unduly burdened by the contraceptive mandate provisions of the Affordable Care Act. Because the contraceptive mandate was not the least restrictive means available for the government to provide such coverage—in the Court’s mind, the Government could just assume the costs itself, and already provided an opt-out for religious non-profit employers—the mandate on private employers violates the law. The Court was careful to limit its opinion (in theory) to these facts.

  • It applies only to closely held corporations, and not publicly traded ones.
  • It applies to the contraceptive mandate and
  • not religious objections to all laws in general,

believing that the “compelling interest” struck a sensible balance between religious liberty and competing prior governmental interests. But … we’ll see about that. Justice Ginsburg, writing for the four dissenting Justices, refers to the decision thusly:

In a decision of startling breadth, the Court holds that commercial enterprises, including corporations, along with partnerships and sole proprietorships, can opt out of any law (saving only tax laws) they judge incompatible with their sincerely held religious beliefs.

Compelling governmental interests in uniform compliance with the law, and disadvantages that religion-based opt-outs impose on others, hold no sway, the Court decides,

  • at least when there is a “less restrictive alternative.”

And such an alternative, the Court suggests, there always will be whenever, in lieu of tolling an enterprise claiming a religion-based exemption, the government, i.e., the general public, can pick up the tab….

Religious organizations exist to serve a community of believers.

For-profit corporations do not fit that bill.

Moreover, history is not on the Court’s side. Recognition of the discrete characters of “ecclesiastical and lay” corporations dates back to Blackstone, see 1 W. Blackstone, Commentaries on the Laws of England 458 (1765), and was reiterated by this Court centuries before the enactment of the Internal Revenue Code. See Terrett v. Taylor, 9 Cranch 43, 49 (1815) (describing religious corporations); Trustees of Dartmouth College, 4 Wheat., at 645 (discussing “eleemosynary” corporations, including those “created for the promotion of religion”). To reiterate,

“for-profit corporations are different from religious non-profits in that they use labor to make a profit, rather than to perpetuate [the] religious value[s] [shared by a community of believers].”

Let’s be clear, explains Justice Alito for the five majority opinion, corporations are people too (in aggregate) (for purposes of this statute): As we will show,

  • Congress provided protection for people like the Hahns and Greens by employing a familiar legal fiction: It included corporations within RFRA’s definition of “persons.”

It is important to keep in mind that the purpose of this fiction is to provide protection for human beings. A corporation is simply a form of organization used by human beings to achieve desired ends. An established body of law specifies the rights and obligations of the people (including shareholders, officers, and employees) who are associated with a corporation in one way or another. When rights, whether constitutional or statutory, are extended to corporations, the purpose is to protect the rights of these people. For example, extending Fourth Amendment protection to corporations protects the privacy interests of employees and others associated with the company. Protecting corporations from government seizure of their property without just compensation protects all those who have a stake in the corporations’ financial well-being. And …   protecting the free-exercise rights of corporations like Hobby Lobby, Conestoga, and Mardel protects the religious liberty of the humans who own and control those companies

This statement extends the rights beyond the statement above in that it cannot apply to a closely held corporation with only the owner having fiduciary interest

Indeed, the opinion claims, you can go back over 50 years and find the Court not questioning that a for-profit corporation’s had religious rightsin that 1961 case, a kosher supermarket seeking the right to be open on Sundays despite Massachusetts blue laws. [To which the dissent counters, “The suggestion is barely there. True, one of the five challengers to the Sunday closing law … was a corporation owned by four Orthodox Jews. The other challengers were human individuals, not artificial, law-created entities, so there was no need to determine whether the corporation could institute the litigation.”]

The Court insists that this isn’t something publicly traded companies are going to get involved in. We could use corporate law principles to suss out what their religious beliefs are: HHS contends that Congress could not have wanted RFRA to apply to for-profit corporations because it is difficult as a practical matter to ascertain the sincere “beliefs” of a corporation. HHS goes so far as to raise the specter of “divisive, polarizing proxy battles over the religious identity of large, publicly traded corporations such as IBM or General Electric.” These cases, however, do not involve publicly traded corporations, and it seems unlikely that the sort of corporate giants to which HHS refers will often assert RFRA claims. HHS has not pointed to any example of a publicly traded corporation asserting RFRA rights, and numerous practical restraints would likely prevent that from occurring. For example,

  • the idea that unrelated shareholders—including institutional investors with their own set of stakeholders—would agree to run a corporation under the same religious beliefs seems improbable. In any event, we have no occasion in these cases to consider RFRA’s applicability to such companies.
  • The companies in the cases before us are closely held corporations, each owned and controlled by members of a single family, and no one has disputed the sincerity of their religious beliefs.

HHS has also provided no evidence that the purported problem of determining the sincerity of an asserted religious belief moved Congress to exclude for-profit corporations from RFRA’s protection…. HHS and the principal dissent express concern about the possibility of disputes among the owners of corporations, but that is not a problem that arises because of RFRA or that is unique to this context. The owners of closely held corporations may—and sometimes do—disagree about the conduct of business. Even if RFRA did not exist, the owners of a company might well have a dispute relating to religion…. Courts will turn to that structure and the underlying state law in resolving disputes.

So, what about the contraceptive mandate?

Interestingly, the Court concedes for sake of argument that it serves a compelling state interest. But, still, that’s not enough. By requiring the Hahns and Greens and their companies to arrange for such coverage, the HHS mandate demands that they engage in conduct that seriously violates their religious beliefs. If the Hahns and Greens and their companies do not yield to this demand, the economic consequences will be severe. If the companies continue to offer group health plans that do not cover the contraceptives at issue, they will be taxed $100 per day for each affected individual. For Hobby Lobby, the bill could amount to $1.3 million per day or about $475 million per year; for Conestoga, the assessment could be $90,000 per day or $33 million per year; and for Mardel, it could be $40,000 per day or about $15 million per year. These sums are surely substantial. … Are their religious beliefs loony? The Court’s not going to look into that.

The sincerity is what counts, and that creates a burden: …If I may ask—how do you measure sincerity?

How much it will spend on litigating its case!

The Hahns and Greens believe that providing the coverage demanded by the HHS regulations is connected to the

destruction of an embryo in a way that is sufficient to make it immoral for them to provide the coverage.

This belief implicates a difficult and important question of religion and moral philosophy, namely, the circumstances under which it is wrong for a person to perform an act that is innocent in itself but that has the effect of enabling or facilitating the commission of an immoral act by another.

Arrogating the authority to provide a binding national answer to this religious and philosophical question, HHS and the principal dissent in effect tell the plaintiffs

  • that their beliefs are flawed. …
  • we have repeatedly refused to take such a step.

See, e.g., Smith, 494 U. S., at 887 (“Repeatedly and in many different contexts, we have warned that courts must not presume to determine . . . the plausibility of a religious claim”)

Incredible!!      So, RFRA applies,   there’s a burden, and the contraceptive mandate fails the test.

The least-restrictive-means standard is exceptionally demanding, and it is not satisfied here.  HHS has not shown that it lacks other means of achieving its desired goal without imposing a substantial burden on the exercise of religion by the objecting parties in these cases. See §§2000bb–1(a), (b) (requiring the Government to “demonstrat[e] that application of [a substantial] burden to the person . . . is the least restrictive means of furthering [a] compelling governmental interest” (emphasis added)).

The most straightforward way of doing this would be for the Government to assume the cost of providing the four contraceptives at issue to any women who are unable to obtain them under their health-insurance policies due to their employers’ religious objections. This would certainly be less restrictive of the plaintiffs’ religious liberty, and HHS has not shown that this is not a viable alternative. HHS has not provided any estimate of the average cost per employee of providing access to these contraceptives, two of which, according to the FDA, are designed primarily for emergency use. Nor has HHS provided any statistics regarding the number of employees who might be affected because they work for corporations like Hobby Lobby, Conestoga, and Mardel. Nor has HHS told us that it is unable to provide such statistics. It seems likely, however, that the cost of providing the forms of contraceptives at issue in these cases (if not all FDA-approved contraceptives) would be minor when compared with the overall cost of ACA.

According to one of the Congressional Budget Office’s most recent forecasts, ACA’s insurance-coverage provisions will cost the Federal Government more than $1.3 trillion through the next decade. If, as HHS tells us, providing all women with cost-free access to all FDA-approved methods of contraception is a Government interest of the highest order, it is hard to understand HHS’s argument that it cannot be required under RFRA to pay anything in order to achieve this important goal.

HHS contends that RFRA does not permit us to take this option into account because “RFRA cannot be used to require creation of entirely new programs.”  But we see nothing in RFRA that supports this argument, and drawing the line between the “creation of an entirely new program” and the modification of an existing program (which RFRA surely allows) would be fraught with problems. And don’t worry, Justice Alito insists! This is a really, really narrow holding, and doesn’t create religious exemptions to good laws: HHS and the principal dissent argue that a ruling in favor of the objecting parties in these cases will

  • lead to a flood of religious objections regarding a wide variety of medical procedures and drugs, such as vaccinations and blood transfusions,

but HHS has made no effort to substantiate this prediction. HHS points to no evidence that insurance plans in existence prior to the enactment of ACA excluded coverage for such items. Nor has HHS provided evidence that any significant number of employers sought exemption, on religious grounds, from any of ACA’s coverage requirements other than the contraceptive mandate. …

What are the credentials for Alito and associates in the domain of medical therapies?  None!

[O]ur decision in these cases is concerned solely with the contraceptive mandate. 

Our decision should not be understood to hold that an insurance-coverage mandate must necessarily fall if it conflicts with an employer’s religious beliefs. Other coverage requirements, such as immunizations, may be supported by different interests (for example, the need to combat the spread of infectious diseases) and may involve different arguments about the least restrictive means of providing them. The principal dissent raises the possibility that discrimination in hiring, for example on the basis of race, might be cloaked as religious practice to escape legal sanction. Our decision today provides no such shield. The Government has a compelling interest in providing an equal opportunity to participate in the workforce without regard to race, and prohibitions on racial discrimination are precisely tailored to achieve that critical goal. Justice Kennedy adds an additional concurrence to remind everyone that Justice Kennedy believes in the Court, America, and his own importance:

In our constitutional tradition, freedom means that all persons have the right to believe or strive to believe in a divine creator and a divine law. For those who choose this course, free exercise is essential in preserving their own dignity and in striving for a self-definition shaped by their religious precepts. Free exercise in this sense implicates more than just freedom of belief. It means, too, the right to express those beliefs and to establish one’s religious(or nonreligious) self-definition in the political, civic, and economic life of our larger community.

But in a complex society and an era of pervasive governmental regulation, defining the proper realm for free exercise can be difficult. … “[T]he American community is today, as it long has been, a rich mosaic of religious faiths.” Town of Greece v. Galloway, 572 U. S. __ (2014) (Kagan, J., dissenting) (slip op., at 15). Among the reasons the United States is so open, so tolerant, and so free is that no person may be restricted or demeaned by government in exercising his or her religion. Yet neither may that same exercise unduly restrict other persons, such as employees, in protecting their own interests, interests the law deems compelling.

In these cases the means to reconcile those two priorities are at hand in the existing accommodation the Government has designed, identified, and used for circumstances closely parallel to those presented here. RFRA requires the Government to use this less restrictive means. Justice Ginsburg writes the principal dissent, and begins by reminding us of the importance of sexual autonomy, and the economic stakes for women in this litigation: “The ability of women to participate equally in the economic and social life of the Nation has been facilitated by their ability to control their reproductive lives.” Planned Parenthood of Southeastern Pa. v. Casey, 505 U. S. 833, 856 (1992).Congress acted on that understanding when, as part of a nationwide insurance program intended to be comprehensive, it called for coverage of preventive care responsive to women’s needs.

… The [ACA] had a large gap, however; it left out preventive services that “many women’s health advocates and medical professionals believe are critically important.” 155 Cong. Rec. 28841 (2009) (statement of Sen. Boxer). To correct this oversight, Senator Barbara Mikulski introduced the Women’s Health Amendment, which added to the ACA’s minimum coverage requirements a new category of preventive services specific to women’s health…Women paid significantly more than men for preventive care, the amendment’s proponents noted; in fact, cost barriers operated to block many women from obtaining needed care at all. See, e.g., id., at 29070 (statement of Sen. Feinstein) (“Women of childbearing age spend 68 percent more in out-of-pocket health care costs than men.”); id., at 29302 (statement of Sen. Mikulski) (“copayments are [often] so high that [women] avoid getting [preventive and screening services] in the first place”). And increased access to contraceptive services, the sponsors comprehended, would yield important public health gains. See, e.g., id., at 29768 (statement of Sen. Durbin) (“This bill will expand health insurance coverage to the vast majority of [the 17 million women of reproductive age in the United States who are uninsured] . . . . This expanded access will reduce unintended pregnancies.”). And the dissenters deride as unfounded the Court’s new recognition of religious rights for for-profit corporations: Until this litigation, no decision of this Court recognized a for-profit corporation’s qualification for a religious exemption from a generally applicable law, whether under the Free Exercise Clause or RFRA.

George Takei’s blistering response to #HobbyLobby: Could a Muslim Corp impose Sharia Law?

byVyan   THU JUL 03, 2014 AT 09:12 AM PDT “The ruling elevates the rights of a FOR-PROFIT CORPORATION over those of its women employees and opens the door to all manner of claims that a company can refuse services based on its owner’s religion,” Takei wrote. (O)ne wonders,” he said, “whether the case would have come out differently if a Muslim-run chain business attempted to impose Sharia law on its employees.” “Hobby Lobby is not a church. It’s a business — and a big one at that,” he continued. “Businesses must and should be required to comply with neutrally crafted laws of general applicability. Your boss should not have a say over your healthcare. Just as Justice Ginsberg and Mr Takei have suggested, the Hyper-Religious are already attempting to capitalize on the SCOTUS new granting of the rights of an individual to a corporate entity. In this decision the SCOTUS Majority opinion claimed that they were not granting the equal legitimacy of such follow on requests, but they’ve kicked open the door. Takei – bless his soul – also pointed out the basic hypocrisy of Hobby Lobby’s business practices in regards to religion.  Noting that… …Hobby Lobby has invested in multiple companies that manufacture abortion drugs and birth control. The company receives most of its merchandise from China, a country where overpopulation has led to mandatory abortions and sterilizations for women who try to have more than one child.

What the battle over birth control is really about

byteacherken    in a 2012 piece at Alternet by Sara Robinson. Conservative bishops and Congressmen are fighting a rear-guard action against one of the most revolutionary changes in human history. Robinson suggests 500 years from now looking back, the three great achievements of the 20th Century are likely to be the invention of the integrated circuit (without which the internet does not exist), the Moon landing (which she thinks will carry the same impact as Magellan’s circumnavigation of the globe), and the mass availability of nearly 100% effective contraception. Far from being a mere 500-year event, we may have to go back to the invention of the wheel or the discovery of fire to find something that’s so completely disruptive to the way humans have lived for the entire duration of our remembered history.

 Free Birth Control is Emerging Standard for Women

Mon, 07/07/2014 – 8:47am
RICARDO ALONSO-ZALDIVAR, Associated Press
WASHINGTON (AP) — More than half of privately insured women are getting free birth control under President Barack Obama’s health law, a major coverage shift that’s likely to advance. This week the Supreme Court allowed some employers with religious scruples to opt out, but most companies appear to be going in the opposite direction. Recent data from the IMS Institute document a sharp change during 2013. The share of privately insured women who got their birth control pills without a copayment jumped to 56 percent, from 14 percent in 2012. The law’s requirement that most health plans cover birth control as prevention, at no additional cost to women, took full effect in 2013. The average annual saving for women was $269. “It’s a big number,” said institute director Michael Kleinrock. The institute is the research arm of IMS Health, a Connecticut-based technology company that uses pharmacy records to track prescription drug sales. The core of Obama’s law — taxpayer-subsidized coverage for the uninsured — benefits a relatively small share of Americans. But free preventive care— from flu shots to colonoscopies —is a dividend of sorts for the majority with employer coverage. Expanded preventive coverage hasn’t gotten as much attention as another bonus for the already insured: the provision that allows young adults to remain on their parents’ policy until they turn 26. That may start to change with all the discussion of birth control. Business groups and employee benefits consultants say they see little chance that employers will roll back contraceptive coverage as a result of the Supreme Court ruling. The court carved out a space for “closely held” companies whose owners object on religious grounds. Most companies don’t fit that niche.

Read Full Post »

The SCID Pig II: Researchers Develop Another SCID Pig, And Another Great Model For Cancer Research

 

Updated 6/25/2019

Writer. Reporter: Stephen J. Williams, Ph.D.

gottingen minipig2

 

 

The choice of suitable animal model of disease may define future success or failure for drug development, basic and translational research, or biomarker discovery projects.   Indeed, as highlighted in one of my earlier posts “Heroes in Medical Research: Developing Models for Cancer Research”, the choice of animal to model a human disease can have drastic implications in the basic researchers ability to understand metabolic and genetic factors causally associated with disease development. As described in that post the King rat model led to our understanding of the genetics of early development and sex determination while early mouse models helped us to understand the impact of microenvironment on cell fate and the discovery of stem cells. In addition, transgenic and immunodeficient mice resulted in transformational studies on our understanding of cancer. Small rodent models are ideal for following reasons:

  • Ease of genetic manipulation
  • Availability of well-defined models
  • Ease of low cost of use

Regardless of these benefits many investigators in industry and academia are looking to models of human disease in animals more closely resembling human anatomy, physiology, and genetics.

 

There is a growing need for alternative animal models in cancer research.

 

As I had discussed in another of my earlier posts “The SCID Pig: How Pigs are becoming a Great Alternate Model for Cancer Research”, the pig is gaining notoriety and acceptance as a very suitable animal to model human disease as minipigs and humans have:

  • Similar physiology
  • Similar genetics: >90% homology
  • Similar anatomic dimensions: i.e. Adult Gottingen minipigs are 70kg (adult human male weight)
  • Similar organ size and structure to humans organ size and structure
  • Pig genome sequencing project nearly complete
  • Ability to manipulate pig genetics

The post had discussed the development of a severe combined immunodeficient (SCID) pig by investigators at Iowa State and Kansas State University. This line of pigs, selected on a specific diet, could act as recipients for human cancer cell lines, a proof of their SCID phenotype.

A report featured on Fierce Biotech Research “MU Scientists Successfully Transplant, Grow Stem Cells in Pigs” discussed the development of a new genetically-modified immunodeficient porcine model by researchers at the University of Missouri, recently published in Proceedings of the National Academy of Sciences[1].

These pigs are available from the National Swine Resource and Research Center (http://nsrrc.missouri.edu).

For the report on Fierce Biotech Research please follow the link below:

http://www.fiercebiotechresearch.com/press-releases/mu-scientists-successfully-transplant-grow-stem-cells-pigs

 

The report in FierceBiotech highlights the type of studies an immunocompromised pig model would be useful for including:

  • Regenerative medicine
  • Xenotransplantation
  • Tumor growth and efficacy studies

 

Comments in the post from the investigators explained the benefits of developing such a porcine model system including:

“The rejection of transplants and grafts by host bodies is a huge hurdle for medical researchers,” said R. Michael Roberts, Curators Professor of Animal Science and Biochemistry and a researcher in the Bond Life Sciences Center. “By establishing that these pigs will support transplants without the fear of rejection, we can move stem cell therapy research forward at a quicker pace.”

The studies main investigators, Drs. Randall Prather and R. Michael Roberts, both of University of Missouri, along with first authors Kiho Lee, Deug-Nam Kwon and Toshihiko Ezashi, used biallellic mutation of the RAG2 gene in Gottingen minipig fibroblasts and then subsequent somatic cell nuclear transfer (SCNT) to produce the RAG2-/- animals. (Rag2 is a protein involved in V(D)J recombination of antibodies during early B and T cell development. See GeneCard link above)

As proof of their SCID phenotype the authors showed that

  1. these RAG2-/- animals could act as host for human induced pluripotent stem cells
  2. act as recipient for allogeneic porcine stem cells
  3. reduced levels of (CD21+) B cells and (CD3+) T cells
  4. growth retardation if housed under standard, non-sterile conditions

Details of the study are given below:

Methodology Used

For Production of Gottingen minipigs carrying the RAG2 mutation

To produce targeted mutations in RAG2:

  • TALENS () were constructed to produced mutation in exon 2 of RAG2
  • Constructed TALENS and reporter electroporated in fetal-derived pig fibroblasts
  • SCNT used to transfer RAG2 mutant nuclei to donor oocytes
  • 9 embryo transfers resulted in 22 live piglets
  • Piglets genotyped as either monoallelic or biallelic RAG2 mutant
  • RAG2wild-type and mutants housed in either pathogen-free or normal housing conditions

To verify SCID phenotype of litter by either

  1. Graft acceptance of human iPSCs and teratoma formation

–          Fibroblasts from human umbilical cord reprogrammed to pluripotency; verified by pluripotent markers POUSF1, NANOG, SSEA-3)

–          Two human and porcine iPSC lines with trophoblastic properties[2] were injected subcutaneously in ear or flank

–          Tumor formation analyzed by immunohistochemistry using markers:

CTNNBI (B-catenin)

VWF (von Willebrand

DES and ACTG2

GFAP and ENO2

Human specific MFN1 (both antibody and gene primers)

  1. Flow Cytometry

–          Analysis of piglet spleen cells for B cell population (CD21)

–          Analysis of piglet spleen cell for T cell population (CD3)

C.    Histology

– histo evaluation of thymus, spleen

– marker evaluation of spleen using anti-CD79A (B cells), CD3 (T cells),

CD335 (NK cells)

Results

TALEN produced a variety of indels (insertion/deletions) and three RAG2 mutatnt colonies (containing monoallelic, mix of mono and biallelic) used for SCNT.

Three litters produced 16 piglets (eight survived [four mono and four biallelic]

Biallelic RAG2 mutants showed slower weight gain than wild type or monoallelic mutants with signs of inflammation and apoptosis in spleen and designated “failure to thrive” in standard housing…needed a clean environment to thrive.

Biallelic mutant pigs lacked mature CD21 B cells and CD3 T cells but contained macrophages and NK cells.

Implantation of human and allogenic porcine pluripotent stem cells (trophoblastic) showed rapid development of teratomas.
References

  1. Lee K, Kwon DN, Ezashi T, Choi YJ, Park C, Ericsson AC, Brown AN, Samuel MS, Park KW, Walters EM et al: Engraftment of human iPS cells and allogeneic porcine cells into pigs with inactivated RAG2 and accompanying severe combined immunodeficiency. Proceedings of the National Academy of Sciences of the United States of America 2014, 111(20):7260-7265.
  2. Ezashi T, Matsuyama H, Telugu BP, Roberts RM: Generation of colonies of induced trophoblast cells during standard reprogramming of porcine fibroblasts to induced pluripotent stem cells. Biology of reproduction 2011, 85(4):779-787.

Updated 6/25/2019

The following articles represent an update on the ability to create genetically predisposed porcine models of cancer.  The ability to utilize transposable elements to introduce genetic changes in porcine cells in combination with Somatic Cell Nuclear Transfer technology with the ultimate goal to create a transgenic minipig is discussed.  The next two articles describe the ability of the scid pig to act as a recipient for human ovarian cancer cells and description of a transgenic inducible porcine intestinal tumor model.

Transgenic Res. 2011 Jun;20(3):533-45. doi: 10.1007/s11248-010-9438-x. Epub 2010 Aug 29.

Pig transgenesis by Sleeping Beauty DNA transposition.

Jakobsen JE1Li JKragh PMMoldt BLin LLiu YSchmidt MWinther KDSchyth BDHolm IEVajta GBolund LCallesen HJørgensen ALNielsen ALMikkelsen JG.

Author information

Abstract

Modelling of human disease in genetically engineered pigs provides unique possibilities in biomedical research and in studies of disease intervention. Establishment of methodologies that allow efficient gene insertion by non-viral gene carriers is an important step towards development of new disease models. In this report, we present transgenic pigs created by Sleeping Beauty DNA transposition in primary porcine fibroblasts in combination with somatic cell nuclear transfer by handmade cloning. Göttingen minipigs expressing green fluorescent protein are produced by transgenesis with DNA transposon vectors carrying the transgene driven by the human ubiquitin C promoter. These animals carry multiple copies (from 8 to 13) of the transgene and show systemic transgene expression. Transgene-expressing pigs carry both transposase-catalyzed insertions and at least one copy of randomly inserted plasmid DNA. Our findings illustrate critical issues related to DNA transposon-directed transgenesis, including coincidental plasmid insertion and relatively low Sleeping Beauty transposition activity in porcine fibroblasts, but also provide a platform for future development of porcine disease models using the Sleeping Beauty gene insertion technology.

This paper makes use of two technologies: transposon mediated gene transfer to introduce foreign DNA, for example a disease predisposition gene, into oocytes or early embryos, without the use of viral vectors; and use of SCNT to clone a minipig from viable embryos.

 

The transposon mediated system is based on the Sleeping Beauty (SB) vector system, which is a cut and paste DNA transposon belonging to the Tc1/mariner superfamily of transposable elements(1).  Transposable DNA elements are mobile genetic elements which integrate into genomic DNA, in the case of the SB system into discrete sequence elements of actively transcribed genes.  The system consists of two entities: 1) a transposase responsible for cutting and pasting the mobile element and 2) the transposon; the vectorial DNA sequence which is inserted into genomic DNA.  SB transposition has been used to integrate exogenous genetic elements into the genome of various mammalian species(2) and to make tumor models in mice (3-7) and to transform, ex-vivo, porcine ovarian epithelial cells (8) and to stably integrate GFP containing vectors into porcine fibroblast genome(9).  Because of the efficiency and nonviral integration of exogenous vectors into mammalian systems, Sleeping Beauty system has been considered as a potential therapeutic gene transfer modality (10-12).

 

  1. Li, Z.H., Liu, D.P., Wang, J., Guo, Z.C., Yin, W.X., and Liang, C.C. Inversion and transposition of Tc1 transposon of C. elegans in mammalian cells. Somat Cell Mol Genet. 1998; 24:363-369.
  2. Balciuniene, J., Nagelberg, D., Walsh, K.T., Camerota, D., Georlette, D., Biemar, F., et al. Efficient disruption of Zebrafish genes using a Gal4-containing gene trap. BMC Genomics. 2013; 14:619.
  3. Romano, G., Marino, I.R., Pentimalli, F., Adamo, V., and Giordano, A. Insertional mutagenesis and development of malignancies induced by integrating gene delivery systems: implications for the design of safer gene-based interventions in patients. Drug News Perspect. 2009; 22:185-196.
  4. Dupuy, A.J. Transposon-based screens for cancer gene discovery in mouse models. Semin Cancer Biol. 2010; 20:261-268.
  5. Dupuy, A.J., Akagi, K., Largaespada, D.A., Copeland, N.G., and Jenkins, N.A. Mammalian mutagenesis using a highly mobile somatic Sleeping Beauty transposon system. Nature. 2005; 436:221-226.
  6. Dupuy, A.J., Clark, K., Carlson, C.M., Fritz, S., Davidson, A.E., Markley, K.M., et al. Mammalian germ-line transgenesis by transposition. Proc Natl Acad Sci U S A. 2002; 99:4495-4499.
  7. Dupuy, A.J., Fritz, S., and Largaespada, D.A. Transposition and gene disruption in the male germline of the mouse. Genesis. 2001; 30:82-88.
  8. Hamilton, T.C., Williams, S.J., and Cvetkovic, D. 2010. Cancer Compositions, Animal Models, and Methods of Use Thereof. U.S.P. Office, editor. USA: Fox Chase Cancer Center.
  9. Clark, K.J., Carlson, D.F., Foster, L.K., Kong, B.W., Foster, D.N., and Fahrenkrug, S.C. Enzymatic engineering of the porcine genome with transposons and recombinases. BMC Biotechnol. 2007; 7:42.
  10. Ivics, Z., and Izsvak, Z. Transposable elements for transgenesis and insertional mutagenesis in vertebrates: a contemporary review of experimental strategies. Methods Mol Biol. 2004; 260:255-276.
  11. Liu, H., Liu, L., Fletcher, B.S., and Visner, G.A. Sleeping Beauty-based gene therapy with indoleamine 2,3-dioxygenase inhibits lung allograft fibrosis. FASEB J. 2006; 20:2384-2386.
  12. Ohlfest, J.R., Lobitz, P.D., Perkinson, S.G., and Largaespada, D.A. Integration and long-term expression in xenografted human glioblastoma cells using a plasmid-based transposon system. Mol Ther. 2004; 10:260-268.

 

A second paper, by Larry Shook and Geoffrey Clark’s groups describe the production of ex vivo transformed porcine breast cancer line, driven by inactivation of BRCA1.  In this paper normal porcine breast epithelial cells were immortalized by transfection with SV large T antigen (SV-LT) and upon inactivation of porcine BRCA1 in these immortalized cell lines, developed phenotype characteristic of transformed cells and exhibited cancer stem cell characteristics.  The end point assay for transformation was growth in soft agar however the authors did not confirm malignancy in either SCID mice or SCID pigs.

Front Genet. 2015 Aug 25;6:269. doi: 10.3389/fgene.2015.00269. eCollection 2015.

A porcine model system of BRCA1 driven breast cancer.

Donninger H1Hobbing K2Schmidt ML3Walters E4Rund L5Schook L5Clark GJ2.

Author information

Abstract

BRCA1 is a breast and ovarian tumor suppressor. Hereditary mutations in BRCA1 result in a predisposition to breast cancer, and BRCA1expression is down-regulated in ~30% of sporadic cases. The function of BRCA1 remains poorly understood, but it appears to play an important role in DNA repair and the maintenance of genetic stability. Mouse models of BRCA1 deficiency have been developed in an attempt to understand the role of the gene in vivo. However, the subtle nature of BRCA1 function and the well-known discrepancies between human and murine breast cancer biology and genetics may limit the utility of mouse systems in defining the function of BRCA1 in cancer and validating the development of novel therapeutics for breast cancer. In contrast to mice, pig biological systems, and cancer genetics appear to more closely resemble their human counterparts. To determine if BRCA1 inactivation in pig cells promotes their transformation and may serve as a model for the human disease, we developed an immortalized porcine breast cell line and stably inactivated BRCA1 using miRNA. The cell line developed characteristics of breast cancer stem cells and exhibited a transformed phenotype. These results validate the concept of using pigs as a model to study BRCA1 defects in breast cancer and establish the first porcine breast tumor cell line.

 

 

Figure 1. Immortalization of pig mammary epithelial cells. Primary pig breast epithelial cells were stably transfected with an SV40 LT expression construct and selected in puromycin. Surviving cells were serially passaged to confirm immortalization.

 

fgene-06-00269-g001 immortalized breast porcine epithelial cells

 

 

Figure 3. Loss of BRCA1 enhances pig mammary epithelial cell growth. (A) Serially passaging the pig mammary epithelial cells stably knocked down for BRCA1 resulted in an altered morphology compared to those cells stably expressing the LacZ miRNA. (B) 2 × 104 cells/well were plated in 6-well plates and cell growth was determined by counting the number of cells at the indicated times. Error bars show standard error, p < 0.05.

fgene-06-00269-g003growthofbrcaminusporbrepith

 

 

Figure 5. Loss of BRCA1 enhances the transformed phenotype of pig mammary epithelial cells. (A) The pig breast epithelial cells stably expressing BRCA1 miRNA were plated in soft agar and scored for growth 14 days later. Representative photomicrographs are shown in the top panel and data from three independent experiments quantitated in the bar graph in the lower panel. (B) 1 × 106 cells/well were plated in polyHEMA-coated 12-well plates and cell viability assessed 48 h later by trypan blue staining. Error bars show standard error, p < 0.05.

fgene-06-00269-g005brca1minuporbrepithcolonies

 

A third paper describes the development, in Gottingen minipigs, of a transgenic inducible model of intestinal cancer.

Mol Oncol. 2017 Nov;11(11):1616-1629. doi: 10.1002/1878-0261.12136. Epub 2017 Oct 10.

A genetically inducible porcine model of intestinal cancer.

Callesen MM1Árnadóttir SS1Lyskjaer I1Ørntoft MW1Høyer S2Dagnaes-Hansen F3Liu Y4Li R4Callesen H4Rasmussen MH1Berthelsen MF3Thomsen MK3Schweiger PJ5Jensen KB5Laurberg S6Ørntoft TF1Elverløv-Jakobsen JE3Andersen CL1.

Author information

Abstract

Transgenic porcine cancer models bring novel possibilities for research. Their physical similarities with humans enable the use of surgical procedures and treatment approaches used for patients, which facilitates clinical translation. Here, we aimed to develop an inducible oncopig model of intestinal cancer. Transgenic (TG) minipigs were generated using somatic cell nuclear transfer by handmade cloning. The pigs encode two TG cassettes: (a) an Flp recombinase-inducible oncogene cassette containing KRAS-G12D, cMYC, SV40LT – which inhibits p53 – and pRB and (b) a 4-hydroxytamoxifen (4-OHT)-inducible Flp recombinase activator cassette controlled by the intestinal epithelium-specific villin promoter. Thirteen viable transgenic minipigs were born. The ability of 4-OHT to activate the oncogene cassette was confirmed in vitro in TG colonic organoids and ex vivo in tissue biopsies obtained by colonoscopy. In order to provide proof of principle that the oncogene cassette could also successfully be activated in vivo, three pigs were perorally treated with 400 mg tamoxifen for 2 × 5 days. After two months, one pig developed a duodenal neuroendocrine carcinoma with a lymph node metastasis. Molecular analysis of the carcinoma and metastasis confirmed activation of the oncogene cassette. No tumor formation was observed in untreated TG pigs or in the remaining two treated pigs. The latter indicates that tamoxifen delivery can probably be improved. In summary, we have generated a novel inducible oncopig model of intestinal cancer, which has the ability to form metastatic disease already two months after induction. The model may be helpful in bridging the gap between basic research and clinical usage. It opens new venues for longitudinal studies of tumor development and evolution, for preclinical assessment of new anticancer regimens, for pharmacology and toxicology assessments, as well as for studies into biological mechanisms of tumor formation and metastasis.

 

Other posts on this site related to Cancer Research Tools include

The SCID Pig: How Pigs are becoming a Great Alternate Model for Cancer Research

Heroes in Medical Research: Developing Models for Cancer Research

Reprogramming Induced Pleuripotent Stem Cells

The Cancer Research Concentration @ Leaders in Pharmaceutical Business Intelligence

A Synthesis of the Beauty and Complexity of How We View Cancer

Guidelines for the welfare and use of animals in cancer research

Gene Therapy and the Genetic Study of Disease: @Berkeley and @UCSF – New DNA-editing technology spawns bold UC initiative as Crispr Goes Global

 

Read Full Post »

Reproductive Genomics: New $10M NIH Grant goes to Cornell University

Reporter: Aviva Lev-Ari, PhD, RN

Cornell Wins $10M NIH Grant for Center for Reproductive Genomics

NEW YORK (GenomeWeb News) – Cornell University has received a $10 million grant from the National Institutes of Health to fund a Center for Reproductive Genomics that will investigate the genomic basis of human reproductive disorders and birth defects, Cornell said on Monday.

The CRG will use the five-year award to pursue four research projects focused on small RNA, or noncoding RNA. The researchers want to understand how small RNA impacts meiotic errors involved in infertility, defects, and other reproductive problems, and translate their findings into new ways to diagnose and treat those disorders.

“My lab focuses on human eggs and sperm, which are prone to chromosomal abnormalities causing birth defects such as Down and Klinefelter’s syndromes,” CRG Director Paula Cohen, a professor of genetics at Cornell’s College of Veterinary Medicine, said in a statement.

“Other CRG researchers work on issues with sperm, or basic cell biology influencing reproduction … Our center aims to learn how and why these problems happen, why they arise in humans more than in other species, what small RNAs have to do with it, and ultimately what we can do about it,” Cohen said.

CRG researcher Andrew Grimson, an assistant professor of molecular biology and genetics, will study the timing and targets of small RNA actions that take place during germ cell formation. Darius Paduch, an associate professor of urology and reproductive medicine at Weill Cornell Medical College in New York, will investigate the roles and expression of small RNAs in human male germ cells and how testicular small RNAs differ in men with different types of infertility.

John Schimenta, a professor at the College of Veterinary Medicine, will investigate how RNAs differ in men with different types of infertility by examining the function and targets of the conserved small RNAs that are expressed during sperm production.

“We will take these questions from the lab all the way to human medicine, conducting basic biology research in Ithaca and translating it at Weill, where doctors see patients with chromosomal abnormalities and fertility issues,” Cohen said.

The grant also will support Cornell’s new RNA Sequencing Core, which is run by Director Jen Grenier and will sequence small RNAs and offer its services to other researchers across the campus.

The CRG’s co-director, Peter Schlegel, will oversee an outreach core, which will provide bimonthly public seminars on reproductive health, work with physicians outside of Cornell who want to know more about small RNA, and train residents at the center in techniques for investigating small RNAs.

Cornell created the CRG in name only in 2006 and has since been seeking funding to fully establish it and launch its research programs, a spokesperson for Cornell toldGenomeWeb Daily News today.

 

 

Read Full Post »

Three-parent Baby-making: Practice of Modifying Oocytes for use in In-vitro Fertilization: FDA Hearing

Reporter: Aviva Lev-Ari, PhD, RN

Article ID #116: Three-parent Baby-making: Practice of Modifying Oocytes for use in In-vitro Fertilization: FDA Hearing. Published on 2/26/2014

WordCloud Image Produced by Adam Tubman

 

The US Food and Drug Administration wants to find out if the practice of modifying oocytes for use in in vitro fertilization is safe and scientifically sound, and held a hearing this week to launch a review of the process. Although it is sometimes referred to as three-parent baby-making, the procedure is not as kinky as it sounds, nor is it a likely set-up for a situation comedy, as very little DNA is contributed by the donor, but it has triggered some scientific, safety, and ethical concerns.

Specifically, the FDA’s Cellular, Tissue, and Gene Therapies Advisory Committee held a two-day meeting to hear about the use of cytoplasmic transfer, which enables women with inherited forms of mitochondrial disease to have healthy children by combining a healthy donor egg with nuclear genetic material from the mother before the IVF procedure.

The UK is already moving forward with permitting three-person IVF, but the procedure is not allowed in the US.

FDA is leaving the ethical questions and controversies about oocyte modification aside for now and seeking input on future clinical trials and the scientific, technological, and clinical issues involved and how they may affect the health of the mother and child.

In the New York Times, Sabrina Tavernise notes that although the treatments in question here are not what is generally thought of as genetic engineering, research into this area in general spurs fears in the US about how far science will go in human engineering.

“Every time we get a little closer to genetic tinkering to promote health — that’s exciting and scary,” Alan Copperman, director of the division of reproductive endocrinology and infertility at Mount Sinai Medical Center in New York, tells theTimes. “People are afraid it will turn into a dystopian brave new world.”

At the FDA meeting this week, Oregon Health Sciences University researcher Shoukrat Mitalipov, who has performed the procedure in monkeys in the US and contends that it is ready to be used in humans, took questions from the panel about the procedures he has used and the specifics of his experiments.

FDA for now plans to consider the science as it is, how it may be used, and whether it may be ready for expanded studies in humans.

“We haven’t made any decision about whether clinical trials will be allowed to proceed,” FDA’s Celia Witten tells the Times.

Marcy Darnovsky of the Center for Genetics and Society in a Times op-ed this weeksays these technologies are not ready, and crystallizes the angst many feel about human genetic tinkering.

She says, though, that they may have value, and that avoiding mitochondrial disease or helping women conceive are worthy goals.

“But these procedures are deeply problematic in terms of their medical risks and societal implications. Will the child be born healthy, or will the cellular disruptions created by this eggs-as-Lego pieces approach lead to problems later on? What about subsequent generations? And how far will we go in our efforts to engineer humans?” Darnovsky adds.

SOURCE

Read Full Post »

The importance of spatially-localized and quantified image interpretation in cancer management

Writer & reporter: Dror Nir, PhD

I became involved in the development of quantified imaging-based tissue characterization more than a decade ago. From the start, it was clear to me that what clinicians needs will not be answered by just identifying whether a certain organ harbors cancer. If imaging devices are to play a significant role in future medicine, as a complementary source of information to bio-markers and gene sequencing the minimum value expected of them is accurate directing of biopsy needles and treatment tools to the malignant locations in the organ.  Therefore, the design goal of the first Prostate-HistoScanning (“PHS”) version I went into the trouble of characterizing localized volume of tissue at the level of approximately 0.1cc (1x1x1 mm). Thanks to that, the imaging-interpretation overlay of PHS localizes the suspicious lesions with accuracy of 5mm within the prostate gland; Detection, localisation and characterisation of prostate cancer by prostate HistoScanning(™).

I then started a more ambitious research aiming to explore the feasibility of identifying sub-structures within the cancer lesion itself. The preliminary results of this exploration were so promising that it surprised not only the clinicians I was working with but also myself. It seems, that using quality ultrasound, one can find Imaging-Biomarkers that allows differentiation of inside structures of a cancerous lesions. Unfortunately, for everyone involved in this work, including me, this scientific effort was interrupted by financial constrains before reaching maturity.

My short introduction was made to explain why I find the publication below important enough to post and bring to your attention.

I hope for your agreement on the matter.

Quantitative Imaging in Cancer Evolution and Ecology

Robert A. Gatenby, MD, Olya Grove, PhD and Robert J. Gillies, PhD

From the Departments of Radiology and Cancer Imaging and Metabolism, Moffitt Cancer Center, 12902 Magnolia Dr, Tampa, FL 33612. Address correspondence to  R.A.G. (e-mail: Robert.Gatenby@Moffitt.org).

Abstract

Cancer therapy, even when highly targeted, typically fails because of the remarkable capacity of malignant cells to evolve effective adaptations. These evolutionary dynamics are both a cause and a consequence of cancer system heterogeneity at many scales, ranging from genetic properties of individual cells to large-scale imaging features. Tumors of the same organ and cell type can have remarkably diverse appearances in different patients. Furthermore, even within a single tumor, marked variations in imaging features, such as necrosis or contrast enhancement, are common. Similar spatial variations recently have been reported in genetic profiles. Radiologic heterogeneity within tumors is usually governed by variations in blood flow, whereas genetic heterogeneity is typically ascribed to random mutations. However, evolution within tumors, as in all living systems, is subject to Darwinian principles; thus, it is governed by predictable and reproducible interactions between environmental selection forces and cell phenotype (not genotype). This link between regional variations in environmental properties and cellular adaptive strategies may permit clinical imaging to be used to assess and monitor intratumoral evolution in individual patients. This approach is enabled by new methods that extract, report, and analyze quantitative, reproducible, and mineable clinical imaging data. However, most current quantitative metrics lack spatialness, expressing quantitative radiologic features as a single value for a region of interest encompassing the whole tumor. In contrast, spatially explicit image analysis recognizes that tumors are heterogeneous but not well mixed and defines regionally distinct habitats, some of which appear to harbor tumor populations that are more aggressive and less treatable than others. By identifying regional variations in key environmental selection forces and evidence of cellular adaptation, clinical imaging can enable us to define intratumoral Darwinian dynamics before and during therapy. Advances in image analysis will place clinical imaging in an increasingly central role in the development of evolution-based patient-specific cancer therapy.

© RSNA, 2013

 

Introduction

Cancers are heterogeneous across a wide range of temporal and spatial scales. Morphologic heterogeneity between and within cancers is readily apparent in clinical imaging, and subjective descriptors of these differences, such as necrotic, spiculated, and enhancing, are common in the radiology lexicon. In the past several years, radiology research has increasingly focused on quantifying these imaging variations in an effort to understand their clinical and biologic implications (1,2). In parallel, technical advances now permit extensive molecular characterization of tumor cells in individual patients. This has led to increasing emphasis on personalized cancer therapy, in which treatment is based on the presence of specific molecular targets (3). However, recent studies (4,5) have shown that multiple genetic subpopulations coexist within cancers, reflecting extensive intratumoral somatic evolution. This heterogeneity is a clear barrier to therapy based on molecular targets, since the identified targets do not always represent the entire population of tumor cells in a patient (6,7). It is ironic that cancer, a disease extensively and primarily analyzed genetically, is also the most genetically flexible of all diseases and, therefore, least amenable to such an approach.

Genetic variations in tumors are typically ascribed to a mutator phenotype that generates new clones, some of which expand into large populations (8). However, although identification of genotypes is of substantial interest, it is insufficient for complete characterization of tumor dynamics because evolution is governed by the interactions of environmental selection forces with the phenotypic, not genotypic, properties of populations as shown, for example, by evolutionary convergence to identical phenotypes among cave fish even when they are from different species (911). This connection between tissue selection forces and cellular properties has the potential to provide a strong bridge between medical imaging and the cellular and molecular properties of cancers.

We postulate that differences within tumors at different spatial scales (ie, at the radiologic, cellular, and molecular [genetic] levels) are related. Tumor characteristics observable at clinical imaging reflect molecular-, cellular-, and tissue-level dynamics; thus, they may be useful in understanding the underlying evolving biology in individual patients. A challenge is that such mapping across spatial and temporal scales requires not only objective reproducible metrics for imaging features but also a theoretical construct that bridges those scales (Fig 1).

P1a

Figure 1a: Computed tomographic (CT) scan of right upper lobe lung cancer in a 50-year-old woman.

P1b

Figure 1b: Isoattenuation map shows regional heterogeneity at the tissue scale (measured in centimeters).

 cd

Figure 1c & 1d: (c, d)Whole-slide digital images (original magnification, ×3) of a histologic slice of the same tumor at the mesoscopic scale (measured in millimeters) (c) coupled with a masked image of regional morphologic differences showing spatial heterogeneity (d). 

p1e

Figure 1e: Subsegment of the whole slide image shows the microscopic scale (measured in micrometers) (original magnification, ×50).

p1f

Figure 1f: Pattern recognition masked image shows regional heterogeneity. In a, the CT image of non–small cell lung cancer can be analyzed to display gradients of attenuation, which reveals heterogeneous and spatially distinct environments (b). Histologic images in the same patient (c, e) reveal heterogeneities in tissue structure and density on the same scale as seen in the CT images. These images can be analyzed at much higher definition to identify differences in morphologies of individual cells (3), and these analyses reveal clusters of cells with similar morphologic features (d, f). An important goal of radiomics is to bridge radiologic data with cellular and molecular characteristics observed microscopically.

To promote the development and implementation of quantitative imaging methods, protocols, and software tools, the National Cancer Institute has established the Quantitative Imaging Network. One goal of this program is to identify reproducible quantifiable imaging features of tumors that will permit data mining and explicit examination of links between the imaging findings and the underlying molecular and cellular characteristics of the tumors. In the quest for more personalized cancer treatments, these quantitative radiologic features potentially represent nondestructive temporally and spatially variable predictive and prognostic biomarkers that readily can be obtained in each patient before, during, and after therapy.

Quantitative imaging requires computational technologies that can be used to reliably extract mineable data from radiographic images. This feature information can then be correlated with molecular and cellular properties by using bioinformatics methods. Most existing methods are agnostic and focus on statistical descriptions of existing data, without presupposing the existence of specific relationships. Although this is a valid approach, a more profound understanding of quantitative imaging information may be obtained with a theoretical hypothesis-driven framework. Such models use links between observable tumor characteristics and microenvironmental selection factors to make testable predictions about emergent phenotypes. One such theoretical framework is the developing paradigm of cancer as an ecologic and evolutionary process.

For decades, landscape ecologists have studied the effects of heterogeneity in physical features on interactions between populations of organisms and their environments, often by using observation and quantification of images at various scales (1214). We propose that analytic models of this type can easily be applied to radiologic studies of cancer to uncover underlying molecular, cellular, and microenvironmental drivers of tumor behavior and specifically, tumor adaptations and responses to therapy (15).

In this article, we review recent developments in quantitative imaging metrics and discuss how they correlate with underlying genetic data and clinical outcomes. We then introduce the concept of using ecology and evolutionary models for spatially explicit image analysis as an exciting potential avenue of investigation.

 

Quantitative Imaging and Radiomics

In patients with cancer, quantitative measurements are commonly limited to measurement of tumor size with one-dimensional (Response Evaluation Criteria in Solid Tumors [or RECIST]) or two-dimensional (World Health Organization) long-axis measurements (16). These measures do not reflect the complexity of tumor morphology or behavior, and in many cases, changes in these measures are not predictive of therapeutic benefit (17). In contrast, radiomics (18) is a high-throughput process in which a large number of shape, edge, and texture imaging features are extracted, quantified, and stored in databases in an objective, reproducible, and mineable form (Figs 12). Once transformed into a quantitative form, radiologic tumor properties can be linked to underlying genetic alterations (the field is called radiogenomics) (1921) and to medical outcomes (2227). Researchers are currently working to develop both a standardized lexicon to describe tumor features (28,29) and a standard method to convert these descriptors into quantitative mineable data (30,31) (Fig 3).

p2

Figure 2: Contrast-enhanced CT scans show non–small cell lung cancer (left) and corresponding cluster map (right). Subregions within the tumor are identified by clustering pixels based on the attenuation of pixels and their cumulative standard deviation across the region. While the entire region of interest of the tumor, lacking the spatial information, yields a weighted mean attenuation of 859.5 HU with a large and skewed standard deviation of 243.64 HU, the identified subregions have vastly different statistics. Mean attenuation was 438.9 HU ± 45 in the blue subregion, 210.91 HU ± 79 in the yellow subregion, and 1077.6 HU ± 18 in the red subregion.

 

p3

Figure 3: Chart shows the five processes in radiomics.

Several recent articles underscore the potential power of feature analysis. After manually extracting more than 100 CT image features, Segal and colleagues found that a subset of 14 features predicted 80% of the gene expression pattern in patients with hepatocellular carcinoma (21). A similar extraction of features from contrast agent–enhanced magnetic resonance (MR) images of glioblastoma was used to predict immunohistochemically identified protein expression patterns (22). Other radiomic features, such as texture, can be used to predict response to therapy in patients with renal cancer (32) and prognosis in those with metastatic colon cancer (33).

These pioneering studies were relatively small because the image analysis was performed manually, and the studies were consequently underpowered. Thus, recent work in radiomics has focused on technical developments that permit automated extraction of image features with the potential for high throughput. Such methods, which rely heavily on novel machine learning algorithms, can more completely cover the range of quantitative features that can describe tumor heterogeneity, such as texture, shape, or margin gradients or, importantly, different environments, or niches, within the tumors.

Generally speaking, texture in a biomedical image is quantified by identifying repeating patterns. Texture analyses fall into two broad categories based on the concepts of first- and second-order spatial statistics. First-order statistics are computed by using individual pixel values, and no relationships between neighboring pixels are assumed or evaluated. Texture analysis methods based on first-order statistics usually involve calculating cumulative statistics of pixel values and their histograms across the region of interest. Second-order statistics, on the other hand, are used to evaluate the likelihood of observing spatially correlated pixels (34). Hence, second-order texture analyses focus on the detection and quantification of nonrandom distributions of pixels throughout the region of interest.

The technical developments that permit second-order texture analysis in tumors by using regional enhancement patterns on dynamic contrast-enhanced MR images were reviewed recently (35). One such technique that is used to measure heterogeneity of contrast enhancement uses the Factor Analysis of Medical Image Sequences (or FAMIS) algorithm, which divides tumors into regions based on their patterns of enhancement (36). Factor Analysis of Medical Image Sequences–based analyses yielded better prognostic information when compared with region of interest–based methods in numerous cancer types (1921,3739), and they were a precursor to the Food and Drug Administration–approved three-time-point method (40). A number of additional promising methods have been developed. Rose and colleagues showed that a structured fractal-based approach to texture analysis improved differentiation between low- and high-grade brain cancers by orders of magnitude (41). Ahmed and colleagues used gray level co-occurrence matrix analyses of dynamic contrast-enhanced images to distinguish benign from malignant breast masses with high diagnostic accuracy (area under the receiver operating characteristic curve, 0.92) (26). Others have shown that Minkowski functional structured methods that convolve images with differently kernelled masks can be used to distinguish subtle differences in contrast enhancement patterns and can enable significant differentiation between treatment groups (42).

It is not surprising that analyses of heterogeneity in enhancement patterns can improve diagnosis and prognosis, as this heterogeneity is fundamentally based on perfusion deficits, which generate significant microenvironmental selection pressures. However, texture analysis is not limited to enhancement patterns. For example, measures of heterogeneity in diffusion-weighted MR images can reveal differences in cellular density in tumors, which can be matched to histologic findings (43). Measures of heterogeneity in T1- and T2-weighted images can be used to distinguish benign from malignant soft-tissue masses (23). CT-based texture features have been shown to be highly significant independent predictors of survival in patients with non–small cell lung cancer (24).

Texture analyses can also be applied to positron emission tomographic (PET) data, where they can provide information about metabolic heterogeneity (25,26). In a recent study, Nair and colleagues identified 14 quantitative PET imaging features that correlated with gene expression (19). This led to an association of metagene clusters to imaging features and yielded prognostic models with hazard ratios near 6. In a study of esophageal cancer, in which 38 quantitative features describing fluorodeoxyglucose uptake were extracted, measures of metabolic heterogeneity at baseline enabled prediction of response with significantly higher sensitivity than any whole region of interest standardized uptake value measurement (22). It is also notable that these extensive texture-based features are generally more reproducible than simple measures of the standardized uptake value (27), which can be highly variable in a clinical setting (44).

 

Spatially Explicit Analysis of Tumor Heterogeneity

Although radiomic analyses have shown high prognostic power, they are not inherently spatially explicit. Quantitative border, shape, and texture features are typically generated over a region of interest that comprises the entire tumor (45). This approach implicitly assumes that tumors are heterogeneous but well mixed. However, spatially explicit subregions of cancers are readily apparent on contrast-enhanced MR or CT images, as perfusion can vary markedly within the tumor, even over short distances, with changes in tumor cell density and necrosis.

An example is shown in Figure 2, which shows a contrast-enhanced CT scan of non–small cell lung cancer. Note that there are many subregions within this tumor that can be identified with attenuation gradient (attenuation per centimeter) edge detection algorithms. Each subregion has a characteristic quantitative attenuation, with a narrow standard deviation, whereas the mean attenuation over the entire region of interest is a weighted average of the values across all subregions, with a correspondingly large and skewed distribution. We contend that these subregions represent distinct habitats within the tumor, each with a distinct set of environmental selection forces.

These observations, along with the recent identification of regional variations in the genetic properties of tumor cells, indicate the need to abandon the conceptual model of cancers as bounded organlike structures. Rather than a single self-organized system, cancers represent a patchwork of habitats, each with a unique set of environmental selection forces and cellular evolution strategies. For example, regions of the tumor that are poorly perfused can be populated by only those cells that are well adapted to low-oxygen, low-glucose, and high-acid environmental conditions. Such adaptive responses to regional heterogeneity result in microenvironmental selection and hence, emergence of genetic variations within tumors. The concept of adaptive response is an important departure from the traditional view that genetic heterogeneity is the product of increased random mutations, which implies that molecular heterogeneity is fundamentally unpredictable and, therefore, chaotic. The Darwinian model proposes that genetic heterogeneity is the result of a predictable and reproducible selection of successful adaptive strategies to local microenvironmental conditions.

Current cross-sectional imaging modalities can be used to identify regional variations in selection forces by using contrast-enhanced, cell density–based, or metabolic features. Clinical imaging can also be used to identify evidence of cellular adaptation. For example, if a region of low perfusion on a contrast-enhanced study is necrotic, then an adaptive population is absent or minimal. However, if the poorly perfused area is cellular, then there is presumptive evidence of an adapted proliferating population. While the specific genetic properties of this population cannot be determined, the phenotype of the adaptive strategy is predictable since the environmental conditions are more or less known. Thus, standard medical images can be used to infer specific emergent phenotypes and, with ongoing research, these phenotypes can be associated with underlying genetic changes.

This area of investigation will likely be challenging. As noted earlier, the most obvious spatially heterogeneous imaging feature in tumors is perfusion heterogeneity on contrast-enhanced CT or MR images. It generally has been assumed that the links between contrast enhancement, blood flow, perfusion, and tumor cell characteristics are straightforward. That is, tumor regions with decreased blood flow will exhibit low perfusion, low cell density, and high necrosis. In reality, however, the dynamics are actually much more complex. As shown in Figure 4, when using multiple superimposed sequences from MR imaging of malignant gliomas, regions of tumor that are poorly perfused on contrast-enhanced T1-weighted images may exhibit areas of low or high water content on T2-weighted images and low or high diffusion on diffusion-weighted images. Thus, high or low cell densities can coexist in poorly perfused volumes, creating perfusion-diffusion mismatches. Regions with poor perfusion with high cell density are of particular clinical interest because they represent a cell population that is apparently adapted to microenvironmental conditions associated with poor perfusion. The associated hypoxia, acidosis, and nutrient deprivation select for cells that are resistant to apoptosis and thus are likely to be resistant to therapy (46,47).

p4

Figure 4: Left: Contrast-enhanced T1 image from subject TCGA-02-0034 in The Cancer Genome Atlas–Glioblastoma Multiforme repository of MR volumes of glioblastoma multiforme cases. Right: Spatial distribution of MR imaging–defined habitats within the tumor. The blue region (low T1 postgadolinium, low fluid-attenuated inversion recovery) is particularly notable because it presumably represents a habitat with low blood flow but high cell density, indicating a population presumably adapted to hypoxic acidic conditions.

Furthermore, other selection forces not related to perfusion are likely to be present within tumors. For example, evolutionary models suggest that cancer cells, even in stable microenvironments, tend to speciate into “engineers” that maximize tumor cell growth by promoting angiogenesis and “pioneers” that proliferate by invading normal issue and co-opting the blood supply. These invasive tumor phenotypes can exist only at the tumor edge, where movement into a normal tissue microenvironment can be rewarded by increased proliferation. This evolutionary dynamic may contribute to distinct differences between the tumor edges and the tumor cores, which frequently can be seen at analysis of cross-sectional images (Fig 5).

p5a

Figure 5a: CT images obtained with conventional entropy filtering in two patients with non–small cell lung cancer with no apparent textural differences show similar entropy values across all sections. 

p5b

Figure 5b: Contour plots obtained after the CT scans were convolved with the entropy filter. Further subdividing each section in the tumor stack into tumor edge and core regions (dotted black contour) reveals varying textural behavior across sections. Two distinct patterns have emerged, and preliminary analysis shows that the change of mean entropy value between core and edge regions correlates negatively with survival.

Interpretation of the subsegmentation of tumors will require computational models to understand and predict the complex nonlinear dynamics that lead to heterogeneous combinations of radiographic features. We have exploited ecologic methods and models to investigate regional variations in cancer environmental and cellular properties that lead to specific imaging characteristics. Conceptually, this approach assumes that regional variations in tumors can be viewed as a coalition of distinct ecologic communities or habitats of cells in which the environment is governed, at least to first order, by variations in vascular density and blood flow. The environmental conditions that result from alterations in blood flow, such as hypoxia, acidosis, immune response, growth factors, and glucose, represent evolutionary selection forces that give rise to local-regional phenotypic adaptations. Phenotypic alterations can result from epigenetic, genetic, or chromosomal rearrangements, and these in turn will affect prognosis and response to therapy. Changes in habitats or the relative abundance of specific ecologic communities over time and in response to therapy may be a valuable metric with which to measure treatment efficacy and emergence of resistant populations.

 

Emerging Strategies for Tumor Habitat Characterization

A method for converting images to spatially explicit tumor habitats is shown in Figure 4. Here, three-dimensional MR imaging data sets from a glioblastoma are segmented. Each voxel in the tumor is defined by a scale that includes its image intensity in different sequences. In this case, the imaging sets are from (a) a contrast-enhanced T1 sequence, (b) a fast spin-echo T2 sequence, and (c) a fluid-attenuated inversion-recovery (or FLAIR) sequence. Voxels in each sequence can be defined as high or low based on their value compared with the mean signal value. By using just two sequences, a contrast-enhanced T1 sequence and a fluid-attenuated inversion-recovery sequence, we can define four habitats: high or low postgadolinium T1 divided into high or low fluid-attenuated inversion recovery. When these voxel habitats are projected into the tumor volume, we find they cluster into spatially distinct regions. These habitats can be evaluated both in terms of their relative contributions to the total tumor volume and in terms of their interactions with each other, based on the imaging characteristics at the interfaces between regions. Similar spatially explicit analysis can be performed with CT scans (Fig 5).

Analysis of spatial patterns in cross-sectional images will ultimately require methods that bridge spatial scales from microns to millimeters. One possible method is a general class of numeric tools that is already widely used in terrestrial and marine ecology research to link species occurrence or abundance with environmental parameters. Species distribution models (4851) are used to gain ecologic and evolutionary insights and to predict distributions of species or morphs across landscapes, sometimes extrapolating in space and time. They can easily be used to link the environmental selection forces in MR imaging-defined habitats to the evolutionary dynamics of cancer cells.

Summary

Imaging can have an enormous role in the development and implementation of patient-specific therapies in cancer. The achievement of this goal will require new methods that expand and ultimately replace the current subjective qualitative assessments of tumor characteristics. The need for quantitative imaging has been clearly recognized by the National Cancer Institute and has resulted in formation of the Quantitative Imaging Network. A critical objective of this imaging consortium is to use objective, reproducible, and quantitative feature metrics extracted from clinical images to develop patient-specific imaging-based prognostic models and personalized cancer therapies.

It is increasingly clear that tumors are not homogeneous organlike systems. Rather, they contain regional coalitions of ecologic communities that consist of evolving cancer, stroma, and immune cell populations. The clinical consequence of such niche variations is that spatial and temporal variations of tumor phenotypes will inevitably evolve and present substantial challenges to targeted therapies. Hence, future research in cancer imaging will likely focus on spatially explicit analysis of tumor regions.

Clinical imaging can readily characterize regional variations in blood flow, cell density, and necrosis. When viewed in a Darwinian evolutionary context, these features reflect regional variations in environmental selection forces and can, at least in principle, be used to predict the likely adaptive strategies of the local cancer population. Hence, analyses of radiologic data can be used to inform evolutionary models and then can be mapped to regional population dynamics. Ecologic and evolutionary principles may provide a theoretical framework to link imaging to the cellular and molecular features of cancer cells and ultimately lead to a more comprehensive understanding of specific cancer biology in individual patients.

 

Essentials

  • • Marked heterogeneity in genetic properties of different cells in the same tumor is typical and reflects ongoing intratumoral evolution.
  • • Evolution within tumors is governed by Darwinian dynamics, with identifiable environmental selection forces that interact with phenotypic (not genotypic) properties of tumor cells in a predictable and reproducible manner; clinical imaging is uniquely suited to measure temporal and spatial heterogeneity within tumors that is both a cause and a consequence of this evolution.
  • • Subjective radiologic descriptors of cancers are inadequate to capture this heterogeneity and must be replaced by quantitative metrics that enable statistical comparisons between features describing intratumoral heterogeneity and clinical outcomes and molecular properties.
  • • Spatially explicit mapping of tumor regions, for example by superimposing multiple imaging sequences, may permit patient-specific characterization of intratumoral evolution and ecology, leading to patient- and tumor-specific therapies.
  • • We summarize current information on quantitative analysis of radiologic images and propose future quantitative imaging must become spatially explicit to identify intratumoral habitats before and during therapy.

Disclosures of Conflicts of Interest: R.A.G. No relevant conflicts of interest to disclose. O.G. No relevant conflicts of interest to disclose.R.J.G. No relevant conflicts of interest to disclose.

 

Acknowledgments

The authors thank Mark Lloyd, MS; Joel Brown, PhD; Dmitry Goldgoff, PhD; and Larry Hall, PhD, for their input to image analysis and for their lively and informative discussions.

Footnotes

  • Received December 18, 2012; revision requested February 5, 2013; revision received March 11; accepted April 9; final version accepted April 29.
  • Funding: This research was supported by the National Institutes of Health (grants U54CA143970-01, U01CA143062; R01CA077575, andR01CA170595).

References

    1. Kurland BF,
    2. Gerstner ER,
    3. Mountz JM,
    4. et al

    . Promise and pitfalls of quantitative imaging in oncology clinical trials. Magn Reson Imaging2012;30(9):1301–1312.

    1. Levy MA,
    2. Freymann JB,
    3. Kirby JS,
    4. et al

    . Informatics methods to enable sharing of quantitative imaging research data. Magn Reson Imaging2012;30(9):1249–1256.

    1. Mirnezami R,
    2. Nicholson J,
    3. Darzi A

    . Preparing for precision medicine. N Engl J Med 2012;366(6):489–491.

    1. Yachida S,
    2. Jones S,
    3. Bozic I,
    4. et al

    . Distant metastasis occurs late during the genetic evolution of pancreatic cancer. Nature 2010;467(7319):1114–1117.

    1. Gerlinger M,
    2. Rowan AJ,
    3. Horswell S,
    4. et al

    . Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. N Engl J Med2012;366(10):883–892.

    1. Gerlinger M,
    2. Swanton C

    . How Darwinian models inform therapeutic failure initiated by clonal heterogeneity in cancer medicine. Br J Cancer2010;103(8):1139–1143.

    1. Kern SE

    . Why your new cancer biomarker may never work: recurrent patterns and remarkable diversity in biomarker failures. Cancer Res2012;72(23):6097–6101.

    1. Nowell PC

    . The clonal evolution of tumor cell populations. Science1976;194(4260):23–28.

    1. Greaves M,
    2. Maley CC

    . Clonal evolution in cancer. Nature2012;481(7381):306–313.

    1. Vincent TL,
    2. Brown JS

    . Evolutionary game theory, natural selection and Darwinian dynamics. Cambridge, England: Cambridge University Press, 2005.

    1. Gatenby RA,
    2. Gillies RJ

    . A microenvironmental model of carcinogenesis. Nat Rev Cancer 2008;8(1):56–61.

    1. Bowers MA,
    2. Matter SF

    . Landscape ecology of mammals: relationships between density and patch size. J Mammal 1997;78(4):999–1013.

    1. Dorner BK,
    2. Lertzman KP,
    3. Fall J

    . Landscape pattern in topographically complex landscapes: issues and techniques for analysis. Landscape Ecol2002;17(8):729–743.

    1. González-García I,
    2. Solé RV,
    3. Costa J

    . Metapopulation dynamics and spatial heterogeneity in cancer. Proc Natl Acad Sci U S A2002;99(20):13085–13089.

    1. Patel LR,
    2. Nykter M,
    3. Chen K,
    4. Zhang W

    . Cancer genome sequencing: understanding malignancy as a disease of the genome, its conformation, and its evolution. Cancer Lett 2012 Oct 27. [Epub ahead of print]

    1. Jaffe CC

    . Measures of response: RECIST, WHO, and new alternatives. J Clin Oncol 2006;24(20):3245–3251.

    1. Burton A

    . RECIST: right time to renovate? Lancet Oncol2007;8(6):464–465.

    1. Lambin P,
    2. Rios-Velazquez E,
    3. Leijenaar R,
    4. et al

    . Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer 2012;48(4):441–446.

    1. Nair VS,
    2. Gevaert O,
    3. Davidzon G,
    4. et al

    . Prognostic PET 18F-FDG uptake imaging features are associated with major oncogenomic alterations in patients with resected non-small cell lung cancer. Cancer Res2012;72(15):3725–3734.

    1. Diehn M,
    2. Nardini C,
    3. Wang DS,
    4. et al

    . Identification of noninvasive imaging surrogates for brain tumor gene-expression modules. Proc Natl Acad Sci U S A 2008;105(13):5213–5218.

    1. Segal E,
    2. Sirlin CB,
    3. Ooi C,
    4. et al

    . Decoding global gene expression programs in liver cancer by noninvasive imaging. Nat Biotechnol 2007;25(6):675–680.

    1. Tixier F,
    2. Le Rest CC,
    3. Hatt M,
    4. et al

    . Intratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer. J Nucl Med2011;52(3):369–378.

    1. Pang KK,
    2. Hughes T

    . MR imaging of the musculoskeletal soft tissue mass: is heterogeneity a sign of malignancy? J Chin Med Assoc2003;66(11):655–661.

    1. Ganeshan B,
    2. Panayiotou E,
    3. Burnand K,
    4. Dizdarevic S,
    5. Miles K

    . Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival. Eur Radiol 2012;22(4):796–802.

    1. Asselin MC,
    2. O’Connor JP,
    3. Boellaard R,
    4. Thacker NA,
    5. Jackson A

    . Quantifying heterogeneity in human tumours using MRI and PET. Eur J Cancer2012;48(4):447–455.

    1. Ahmed A,
    2. Gibbs P,
    3. Pickles M,
    4. Turnbull L

    . Texture analysis in assessment and prediction of chemotherapy response in breast cancer. J Magn Reson Imaging doi:10.1002/jmri.23971 2012. Published online December 13, 2012.

    1. Kawata Y,
    2. Niki N,
    3. Ohmatsu H,
    4. et al

    . Quantitative classification based on CT histogram analysis of non-small cell lung cancer: correlation with histopathological characteristics and recurrence-free survival. Med Phys2012;39(2):988–1000.

    1. Rubin DL

    . Creating and curating a terminology for radiology: ontology modeling and analysis. J Digit Imaging 2008;21(4):355–362.

    1. Opulencia P,
    2. Channin DS,
    3. Raicu DS,
    4. Furst JD

    . Mapping LIDC, RadLex™, and lung nodule image features. J Digit Imaging 2011;24(2):256–270.

    1. Channin DS,
    2. Mongkolwat P,
    3. Kleper V,
    4. Rubin DL

    . The Annotation and Image Mark-up project. Radiology 2009;253(3):590–592.

    1. Rubin DL,
    2. Mongkolwat P,
    3. Kleper V,
    4. Supekar K,
    5. Channin DS

    . Medical imaging on the semantic web: annotation and image markup. Presented at the AAAI Spring Symposium Series, Semantic Scientific Knowledge Integration, Palo Alto, Calif, March 26–28, 2008.

    1. Goh V,
    2. Ganeshan B,
    3. Nathan P,
    4. Juttla JK,
    5. Vinayan A,
    6. Miles KA

    . Assessment of response to tyrosine kinase inhibitors in metastatic renal cell cancer: CT texture as a predictive biomarker. Radiology 2011;261(1):165–171.

    1. Miles KA,
    2. Ganeshan B,
    3. Griffiths MR,
    4. Young RC,
    5. Chatwin CR

    . Colorectal cancer: texture analysis of portal phase hepatic CT images as a potential marker of survival. Radiology 2009;250(2):444–452.

    1. Haralick RM,
    2. Shanmugam K,
    3. Dinstein I

    . Textural features for image classification. IEEE Trans Syst Man Cybern 1973;3(6):610–621.

    1. Yang X,
    2. Knopp MV

    . Quantifying tumor vascular heterogeneity with dynamic contrast-enhanced magnetic resonance imaging: a review. J Biomed Biotechnol 2011;2011:732848.

    1. Frouin F,
    2. Bazin JP,
    3. Di Paola M,
    4. Jolivet O,
    5. Di Paola R

    . FAMIS: a software package for functional feature extraction from biomedical multidimensional images. Comput Med Imaging Graph 1992;16(2):81–91.

    1. Frouge C,
    2. Guinebretière JM,
    3. Contesso G,
    4. Di Paola R,
    5. Bléry M

    . Correlation between contrast enhancement in dynamic magnetic resonance imaging of the breast and tumor angiogenesis. Invest Radiol 1994;29(12):1043–1049.

    1. Zagdanski AM,
    2. Sigal R,
    3. Bosq J,
    4. Bazin JP,
    5. Vanel D,
    6. Di Paola R

    . Factor analysis of medical image sequences in MR of head and neck tumors. AJNR Am J Neuroradiol 1994;15(7):1359–1368.

    1. Bonnerot V,
    2. Charpentier A,
    3. Frouin F,
    4. Kalifa C,
    5. Vanel D,
    6. Di Paola R

    . Factor analysis of dynamic magnetic resonance imaging in predicting the response of osteosarcoma to chemotherapy. Invest Radiol 1992;27(10):847–855.

    1. Furman-Haran E,
    2. Grobgeld D,
    3. Kelcz F,
    4. Degani H

    . Critical role of spatial resolution in dynamic contrast-enhanced breast MRI. J Magn Reson Imaging2001;13(6):862–867.

    1. Rose CJ,
    2. Mills SJ,
    3. O’Connor JPB,
    4. et al

    . Quantifying spatial heterogeneity in dynamic contrast-enhanced MRI parameter maps. Magn Reson Med2009;62(2):488–499.

    1. Canuto HC,
    2. McLachlan C,
    3. Kettunen MI,
    4. et al

    . Characterization of image heterogeneity using 2D Minkowski functionals increases the sensitivity of detection of a targeted MRI contrast agent. Magn Reson Med2009;61(5):1218–1224.

    1. Lloyd MC,
    2. Allam-Nandyala P,
    3. Purohit CN,
    4. Burke N,
    5. Coppola D,
    6. Bui MM

    . Using image analysis as a tool for assessment of prognostic and predictive biomarkers for breast cancer: how reliable is it? J Pathol Inform2010;1:29–36.

    1. Kumar V,
    2. Nath K,
    3. Berman CG,
    4. et al

    . Variance of SUVs for FDG-PET/CT is greater in clinical practice than under ideal study settings. Clin Nucl Med2013;38(3):175–182.

    1. Walker-Samuel S,
    2. Orton M,
    3. Boult JK,
    4. Robinson SP

    . Improving apparent diffusion coefficient estimates and elucidating tumor heterogeneity using Bayesian adaptive smoothing. Magn Reson Med 2011;65(2):438–447.

    1. Thews O,
    2. Nowak M,
    3. Sauvant C,
    4. Gekle M

    . Hypoxia-induced extracellular acidosis increases p-glycoprotein activity and chemoresistance in tumors in vivo via p38 signaling pathway. Adv Exp Med Biol 2011;701:115–122.

    1. Thews O,
    2. Dillenburg W,
    3. Rösch F,
    4. Fellner M

    . PET imaging of the impact of extracellular pH and MAP kinases on the p-glycoprotein (Pgp) activity. Adv Exp Med Biol 2013;765:279–286.

    1. Araújo MB,
    2. Peterson AT

    . Uses and misuses of bioclimatic envelope modeling. Ecology 2012;93(7):1527–1539.

    1. Larsen PE,
    2. Gibbons SM,
    3. Gilbert JA

    . Modeling microbial community structure and functional diversity across time and space. FEMS Microbiol Lett2012;332(2):91–98.

    1. Shenton W,
    2. Bond NR,
    3. Yen JD,
    4. Mac Nally R

    . Putting the “ecology” into environmental flows: ecological dynamics and demographic modelling. Environ Manage 2012;50(1):1–10.

    1. Clark MC,
    2. Hall LO,
    3. Goldgof DB,
    4. Velthuizen R,
    5. Murtagh FR,
    6. Silbiger MS

    .Automatic tumor segmentation using knowledge-based techniques. IEEE Trans Med Imaging 1998;17(2):187–201.

Read Full Post »

 

Abstract:

The immune response mechanism is the holy grail of the human defense system for health.   IDO, indolamine 2, 3-dioxygenase, is a key gene for homeostasis of immune responses and producing an enzyme catabolizing the first rate-limiting step in tryptophan degradation metabolism. The hemostasis of immune system is complicated.  In this review, the  properties of IDO such as basic molecular genetics, biochemistry and genesis will be discussed.

IDO belongs to globin gene family to carry oxygen and heme.  The main function and genesis of IDO comes from the immune responses during host-microbial invasion and choice between tolerance and immunegenity.  In human there are three kinds of IDOs, which are IDO1, IDO2, and TDO, with distinguished mechanisms and expression profiles. , IDO mechanism includes three distinguished pathways: enzymatic acts through IFNgamma, non-enzymatic acts through TGFbeta-IFNalpha/IFNbeta and moonlighting acts through AhR/Kyn.

The well understood functional genomics and mechanisms is important to translate basic science for clinical interventions of human health needs. In conclusion, overall purpose is to find a method to manipulate IDO to correct/fix/modulate immune responses for clinical applications.

The first part of the review concerns the basic science information gained overall several years that lay the foundation where translational research scientist should familiar to develop a new technology for clinic. The first connection of IDO and human health came from a very natural event that is protection of pregnancy in human. The focus of the translational medicine is treatment of cancer or prevention/delay cancer by stem cell based Dendritic Cell Vaccine (DCvax) development.

Table of Contents:

  • Abstract

1         Introduction: IDO gene encodes a heme enzyme

2        Location, location, location

3        Molecular genetics

4        Types of IDO:

4.1       IDO1,

4.2       IDO2,

4.3       IDO-like proteins

5        Working mechanisms of IDO

6        Infection Diseases and IDO

7. Conclusion

  1. 1.     Indoleamine 2, 3-dioxygenase (IDO) gene encodes a heme enzyme

IDO is a key homeostatic regulator and confined in immune system mechanism for the balance between tolerance and immunity.  This gene encodes indoleamine 2, 3-dioxygenase (IDO) – a heme enzyme (EC=1.13.11.52) that catalyzes the first rate-limiting step in tryptophan catabolism to N-formyl-kynurenine and acts on multiple tryptophan substrates including D-tryptophan, L-tryptophan, 5-hydroxy-tryptophan, tryptamine, and serotonin.

The basic genetic information describes indoleamine 2, 3-dioxygenase 1 (IDO1, IDO, INDO) as an enzyme located at Chromosome 8p12-p11 (5; 6) that active at the first step of the Tryptophan catabolism.    The cloned gene structure showed that IDO contains 10 exons ad 9 introns (7; 8) producing 9 transcripts.

After alternative splicing only five of the transcripts encode a protein but the other four does not make protein products, three of transcripts retain intron and one of them create a nonsense code (7).  Based on IDO related studies 15 phenotypes of IDO is identified, of which, twelve in cancer tumor models of lung, kidney, endometrium, intestine, two in nervous system, and one HGMD- deletion.

  1. 2.     Location, Location and Location

The specific cellular location of IDO is in cytosol, smooth muscle contractile fibers and stereocilium bundle. The expression specificity shows that IDO is present very widely in all cell types but there is an elevation of expression in placenta, pancreas, pancreas islets, including dendritic cells (DCs) according to gene atlas of transcriptome (9).  Expression of IDO is common in antigen presenting cells (APCs), monocytes (MO), macrophages (MQs), DCs, T-cells, and some B-cells. IDO present in APCs (10; 11), due to magnitude of role play hierarchy and level of expression DCs are the better choice but including MOs during establishment of three DC cell subset, CD14+CD25+, CD14++CD25+ and CD14+CD25++ may increase the longevity and efficacy of the interventions.

IDO is strictly regulated and confined to immune system with diverse functions based on either positive or negative stimulations. The positive stimulations are T cell tolerance induction, apoptotic process, and chronic inflammatory response, type 2 immune response, interleukin-12 production (12).  The negative stimulations are interleukin-10 production, activated T cell proliferation, T cell apoptotic process.  Furthermore, there are more functions allocating fetus during female pregnancy; changing behavior, responding to lipopolysaccharide or multicellular organismal response to stress possible due to degradation of tryptophan, kynurenic acid biosynthetic process, cellular nitrogen compound metabolic process, small molecule metabolic process, producing kynurenine process (13; 14; 15).

IDO plays a role in a variety of pathophysiological processes such as antimicrobial and antitumor defense, neuropathology, immunoregulation, and antioxidant activity (16; 17; 18; 19).

 

 3.     Molecular Genetics of IDO:

A: Structure of human IDO2 gene and transcripts. Complete coding region is 1260 bps encoding a 420 aa polypeptide. Alternate splice isoforms lacking the exons indicated are noted. Hatch boxes represent a frameshift in the coding region to an alternate reading frame leading to termination. Black boxes represent 3' untranslated regions. Nucleotide numbers, intron sizes, and positioning are based on IDO sequence files NW_923907.1 and GI:89028628 in the Genbank database. (reference: http://atlasgeneticsoncology.org/Genes/IDO2ID44387ch8p11.html)

A: Structure of human IDO2 gene and transcripts. Complete coding region is 1260 bps encoding a 420 aa polypeptide. Alternate splice isoforms lacking the exons indicated are noted. Hatch boxes represent a frameshift in the coding region to an alternate reading frame leading to termination. Black boxes represent 3′ untranslated regions. Nucleotide numbers, intron sizes, and positioning are based on IDO sequence files NW_923907.1 and GI:89028628 in the Genbank database.
(reference: http://atlasgeneticsoncology.org/Genes/IDO2ID44387ch8p11.html)

Molecular genetics data from earlier findings based on reporter assay results showed that IDO promoter is regulated by ISRE-like elements and GAS-sequence at -1126 and -1083 region (20).  Two cis-acting elements are ISRE1 (interferon sequence response element 1) and interferon sequence response element 2 (ISRE2).

Analyses of site directed and deletion mutation with transfected cells demonstrated that introduction of point mutations at these elements decreases the IDO expression. Removing ISRE1 decreases the effects of IFNgamma induction 50 fold and deleting ISRE1 at -1126 reduced by 25 fold (3). Introducing point mutations in conserved t residues at -1124 and -1122 (from T to C or G) in ISRE consensus sequence NAGtttCA/tntttNCC of IFNa/b inducible gene ISG4 eliminates the promoter activity by 24 fold (21).

ISRE2 have two boxes, X box (-114/1104) and Y Box 9-144/-135), which are essential part of the IFNgamma response region of major histocompatibility complex class II promoters (22; 23).  When these were removed from ISRE2 or introducing point mutations at two A residues of ISRE2 at -111 showed a sharp decrease after IFNgamma treatment by 4 fold (3).

The lack of responses related to truncated or deleted IRF-1 interactions whereas IRF-2, Jak2 and STAT91 levels were similar in the cells, HEPg2 and ME180 (3). Furthermore, 748 bp deleted between these elements did not affect the IDO expression, thus the distance between ISRE1 and ISRE2 elements have no function or influence on IDO (3; 24)

B: Amino acid alignment of IDO and IDO2. Amino acids determined by mutagenesis and the crystal structure of IDO that are critical for catalytic activity are positioned below the human IDO sequence. Two commonly occurring SNPs identified in the coding region of human IDO2 are shown above the sequence which alter a critical amino acid (R248W) or introduce a premature termination codon (Y359stop).

B: Amino acid alignment of IDO and IDO2. Amino acids determined by mutagenesis and the crystal structure of IDO that are critical for catalytic activity are positioned below the human IDO sequence. Two commonly occurring SNPs identified in the coding region of human IDO2 are shown above the sequence which alter a critical amino acid (R248W) or introduce a premature termination codon (Y359stop).

4.     There are three types of IDO in human genome:

IDO was originally discovered in 1967 in rabbit intestine (25). Later, in 1990 the human IDO gene is cloned and sequenced (7).  However, its importance and relevance in immunology was not created until prevention of allocation of fetal rejection and founding expression in wide range of human cancers (26; 27).

There are three types of IDO, pro-IDO like, IDO1, and IDO2.  In addition, another enzyme called TDO, tryptophan 2, 3, dehydrogenase solely degrade L-Trp at first-rate limiting mechanism in liver and brain.

4.1.  IDO1:

IDO1 mechanism is the target for immunotherapy applications. The initial discovery of IDO in human physiology is protection of pregnancy (1) since lack of IDO results in premature recurrent abortion (28; 26; 29).   The initial rate-limiting step of tryptophan metabolism is catalyzed by either IDO or tryptophan 2, 3-dioxygenase (TDO).

Structural studies of IDO versus TDO presenting active site environments, conserved Arg 117 and Tyr113, found both in TDO and IDO for the Tyr-Glu motif, but His55 in TDO replaced by Ser167b in IDO (30; 2). As a result, they are regulated with different mechanisms (1; 2) (30).  The short-lived TDO, about 2h, responds to level of tryptophan and its expression regulated by glucorticoids (31; 32).  Thus, it is a useful target for regulation and induced by tryptophan so that increasing tryptophan induces NAD biosynthesis. Whereas, IDO is not activated by the level of Trp presence but inflammatory agents with its interferon stimulated response elements (ISRE1 and ISRE2) in its (33; 34; 35; 36; 3; 10) promoter.

TDO promoter contains glucorticoid response elements (37; 38) and regulated by glucocorticoids and other available amino acids for gluconeogenesis. This is how IDO binds to only immune response cells and TDO relates to NAD biosynthesis mechanisms. Furthermore, TDO is express solely in liver and brain (36).  NAD synthesis (39) showed increased IDO ubiquitous and TDO in liver and causing NAD level increase in rat with neuronal degeneration (40; 41).  NAM has protective function in beta-cells could be used to cure Type1 diabetes (40; 42; 43). In addition, knowledge on NADH/NAD, Kyn/Trp or Trp/Kyn ratios as well as Th1/Th2, CD4/CD8 or Th17/Threg are equally important (44; 40).

Active site of IDO–PI complex. (A) Stereoview of the residues around the heme of IDO viewed from the side of heme plane. The proximal ligand H346 is H-bonded to wa1. The 6-propionate of the heme contacts with wa2 and R343 Nε. The wa2 is H-bonded to wa1, L388 O, and 6-propionate. Mutations of F226, F227, and R231 do not lose the substrate affinity but produce the inactive enzyme. Two CHES molecules are bound in the distal pocket. The cyclohexan ring of CHES-1 (green) contacts with F226 and R231. The 7-propionate of the heme interacts with the amino group of CHES-1 and side chain of Ser-263. The mutational analyses for these distal residues are shown in Table 1. (B) Top view of A by a rotation of 90°. The proximal residues are omitted. (http://www.pnas.org/content/103/8/2611/F3.expansion.html)

Active site of IDO–PI complex. (A) Stereoview of the residues around the heme of IDO viewed from the side of heme plane. The proximal ligand H346 is H-bonded to wa1. The 6-propionate of the heme contacts with wa2 and R343 Nε. The wa2 is H-bonded to wa1, L388 O, and 6-propionate. Mutations of F226, F227, and R231 do not lose the substrate affinity but produce the inactive enzyme. Two CHES molecules are bound in the distal pocket. The cyclohexan ring of CHES-1 (green) contacts with F226 and R231. The 7-propionate of the heme interacts with the amino group of CHES-1 and side chain of Ser-263. The mutational analyses for these distal residues are shown in Table 1. (B) Top view of A by a rotation of 90°. The proximal residues are omitted. (http://www.pnas.org/content/103/8/2611/F3.expansion.html)

4.2. IDO2:

The third type of IDO, called IDO2 exists in lower vertebrates like chicken, fish and frogs (45) and in human with differential expression properties. The expression of IDO2 is only in DCs, unlike IDO1 expresses on both tumors and DCs in human tissues.  Yet, in lower invertebrates IDO2 is not inhibited by general inhibitor of IDO, D-1-methyl-tryptophan (1MT) (46).   Recently, two structurally unusual natural inhibitors of IDO molecules, EXIGUAMINES A and B, are synthesized (47).  LIP mechanism cannot be switch back to activation after its induction in IDO2 (46).

Crucial cancer progression can continue with production of IL6, IL10 and TGF-beta1 to help invasion and metastasis.  Inclusion of two common SNPs affects the function of IDO2 in certain populations.  SNP1 reduces 90% of IDO2 catalytic activity in 50% of European and Asian descent and SNP2 produce premature protein through inclusion of stop-codon in 25% of African descent lack functional IDO2 (Uniport).

4.3. IDO-like proteins: The Origin of IDO:

Knowing the evolutionary steps will helps us to identify how we can manage the regulator function to protect human health in cancer, immune disorders, diabetes, and infectious diseases.

Bacterial IDO has two types of IDOs that are group I and group II IDO (48).  These are the earliest version of the IDO, pro-IDO like, proteins with a quite complicated function.  Each microorganism recognized by a specific set of receptors, called Toll-Like Receptors (TLR), to activate the IDO-like protein expression based on the origin of the bacteria or virus (49; 35).   Thus, the genesis of human IDO originates from gene duplication of these early bacterial versions of IDO-like proteins after their invasion interactions with human host.  IDO1 only exists in mammals and fungi.

Fungi also has three types of IDO; IDOa, IDO beta, and IDO gamma (50) with different properties than human IDOs, perhaps multiple IDO is necessary for the world’s decomposers.

All globins, haemoglobins and myoglobins are destined to evolve from a common ancestor, which  is only 14-16kDa (51) length. Binding of a heme and being oxygen carrier are central to the enzyme mechanism of this family.  Globins are classified under three distinct origins; a universal globin, a compact globin, and IDO-like globin (52) IDO like globin widely distributed among gastropodic mollusks (53; 51).  The indoleamine 2, 3-dioxygenase 1–like “myoglobin” (Myb) was discovered in 1989 in the buccal mass of the abalone Sulculus diversicolor (54).

The conserved region between Myb and IDO-like Myb existed for at least 600 million years (53) Even though the splice junction of seven introns was kept intact, the overall homolog region between Myb and IDO is only about 35%.

No significant evolutionary relationship is found between them after their amino acid sequence of each exon is compared to usual globin sequences. This led the hint that molluscan IDO-like protein must have other functions besides carrying oxygen, like myoglobin.   Alignment of S. cerevisiae cDNA, mollusk and vertebrate IDO–like globins show the key regions for controlling IDO or myoglobin function (55). These data suggest that there is an alternative pathways of myoglobin evolution.  In addition, understanding the diversity of globin may help to design better protocols for interventions of diseases.

Mechanisms of IDO:

The dichotomy of IDO mechanism lead the discovery that IDO is more than an enzyme as a versatile regulator of innate and adaptive immune responses in DCs (66; 67; 68). Meantime IDO also involve with Th2 response and B cell mediated autoimmunity showing that it has three paths, short term (acute) based on enzymatic actions, long term (chronic) based on non-enzymatic role, and moonlighting relies of downstream metabolites of tryptophan metabolism (69; 70).

IFNgamma produced by DC, MQ, NK, NKT, CD4+ T cells and CD8+ T cells, after stimulation with IL12 and IL8.  Inflammatory cytokine(s) expressed by DCs produce IFNgamma to stimulate IDO’s enzymatic reactions in acute response.  Then, TDO in liver and tryptophan catabolites act through Aryl hydrocarbon receptor induction for prevention of T cell proliferation. This mechanism is common among IDO, IDO2 (expresses in brain and liver) and TDO expresses in liver) provide an acute response for an innate immunity (30). When the pDCs are stimulated with IFNgamma, activation of IDO is go through Jak, STAT signaling pathway to degrade Trp to Kyn causing Trp depletion. The starvation of tryptophan in microenvironment inhibits generation of T cells by un-read t-RNAs and induce apoptosis through myc pathway.  In sum, lack of tryptophan halts T cell proliferation and put the T cells in apoptosis at S1 phase of cell division (71; 62).

The intermediary enzymes, functioning during Tryptophan degradation in Kynurenine (Kyn) pathway like kynurenine 3-hydroxylase and kynureninase, are also induced after stimulation with liposaccaride and proinflammatory cytokines (72). They exhibit their function in homeostasis through aryl-hydrocarbon receptor (AhR) induction by kynurenine as an endogenous signal (73; 74).  The endogenous tumor-promoting ligand of AhR are usually activated by environmental stress or xenobiotic toxic chemicals in several cellular processes like tumorigenesis, inflammation, transformation, and embryogenesis (Opitz ET. Al, 2011).

Human tumor cells constitutively produce TDO also contributes to production of Kyn as an endogenous ligand of the AhR (75; 27).  Degradation of tryptophan by IDO1/2 in tumors and tumor-draining lymph nodes occur. As a result, there are animal studies and Phase I/II clinical trials to inhibit the IDO1/2 to prevent cancer and poor prognosis (NewLink Genetics Corp. NCT00739609, 2007).

 IDO mechanism for immune response

Systemic inflammation (like in sepsis, cerebral malaria and brain tumor) creates hypotension and IDO expression has the central role on vascular tone control (63).  Moreover, inflammation activates the endothelial coagulation activation system causing coagulopathies on patients.  This reaction is namely endothelial cell activation of IDO by IFNgamma inducing Trp to Kyn conversion. After infection with malaria the blood vessel tone has decreases, inflammation induce IDO expression in endothelial cells producing Kyn causing decreased trp, lower arterial relaxation, and develop hypotension (Wang, Y. et. al 2010).  Furthermore, existing hypotension in knock out Ido mice point out a secondary mechanism driven by Kyn as an endogenous ligand to activate non-canonical NfKB pathway (63).

Another study also hints this “back –up” mechanism by a significant outcome with a differential response in pDCs against IMT treatment.  Unlike IFN gamma conditioned pDC blocks T cell proliferation and apoptosis, methyl tryptophan fails to inhibit IDO activity for activating naïve T cells to make Tregs at TGF-b1 conditioned pDCs (77; 78).

 Indoleamine-Pyrrole 2,3,-Dioxygenase; IDO dioxygenase; Indeolamine-2,3

The second role of the IDO relies on non-enzymatic action as being a signal molecule. Yet, IDO2 and TDO are devoid of this function. This role mainly for maintenance of microenvironment condition. DCs response to TGFbeta-1 exposure starts the kinase Fyn induce phosphorylation of IDO-associated immunoreceptor tyrosine–based inhibitory motifs (ITIMs) for propagation of the downstream signals involving non-canonical (anti-inflammatory) NF-kB pathway for a long term response. When the pDCs are conditioned with TGF-beta1 the signaling (68; 77; 78) Phospho Inositol Kinase3 (PIK-3)-dependent and Smad independent pathways (79; 80; 81; 82; 83) induce Fyn-dependent phosphorylation of IDO ITIMs.  A prototypic ITIM has the I/V/L/SxYxxL/V/F sequence (84), where x in place of an amino acid and Y is phosphorylation sites of tyrosines (85; 86).

Smad independent pathway stimulates SHP and PIK3 induce both SHP and IDO phosphorylation. Then, formed SHP-IDO complex can induce non-canonical (non-inflammatory) NF-kB pathway (64; 79; 80; 82) by phosphorylation of kinase IKKa to induce nuclear translocation of p52-Relb towards their targets.  Furthermore, the SHP-IDO complex also may inhibit IRAK1 (68). SHP-IDO complex activates genes through Nf-KB for production of Ido1 and Tgfb1 genes and secretion of IFNalpha/IFNbeta.  IFNa/IFNb establishes a second short positive feedback loop towards p52-RelB for continuous gene expression of IDO, TGFb1, IFNa and IFNb (87; 68).  However, SHP-IDO inhibited IRAK1 also activates p52-RelB.  Nf-KB induction at three path, one main and two positive feedback loops, is also critical.  Finally, based on TGF-beta1 induction (76) cellular differentiation occurs to stimulate naïve CD4+ T cell differentiation to regulatory T cells (Tregs).  In sum, TGF-b1 and IFNalpha/IFNbeta stimulate pDCs to keep inducing naïve T cells for generation of Treg cells at various stages, initiate, maintain, differentiate, infect, amplify, during long-term immune responses (67; 66).

Moonlighting function of Kyn/AhR is an adaptation mechanism after the catalytic (enzymatic) role of IDO depletes tryptophan and produce high concentration of Kyn induce Treg and Tr1 cell expansion leading Tregs to use TGFbeta for maintaining this environment (67; 76). In this role, Kyn pathway has positive-feedback-loop function to induce IDO expression.

In T cells, tryptophan starvation induces Gcn2-dependent stress signaling pathway, which initiates uncharged Trp-tRNA binding onto ribosomes. Elevated GCN2 expression stimulates elF2alfa phosphorylation to stop translation initiation (88). Therefore, most genes downregulated and LIP, an alternatively initiated isoform of the b/ZIP transcription factor NF-IL6/CEBP-beta (89).

This mechanism happens in tumor cells based on Prendergast group observations. As a result, not only IDO1 propagates itself while producing IFNalpha/IFNbeta, but also demonstrates homeostasis choosing between immunegenity by production of TH17or tolerance by Tregs. This mechanism acts like a see-saw. Yet, tolerance also can be broken by IL6 induction so reversal mechanism by SOC-3 dependent proteosomal degradation of the enzyme (90).  All proper responses require functional peripheral DCs to generate mature DCs for T cells to avoid autoimmunity (91).

Niacin (vitamin B3) is the final product of tryptophan catabolism and first molecule at Nicotinomic acid (NDA) Biosynthesis.  The function of IDO in tryptophan and NDA metabolism has a great importance to develop new clinical applications (40; 42; 41).  NAD+, biosynthesis and tryptophan metabolisms regulate several steps that can be utilize pharmacologically for reformation of healthy physiology (40).

IDO for protection in Microbial Infection with Toll-like Receptors

The mechanism of microbial response and infectious tolerance are complex and the origination of IDO based on duplication of microbial IDO (49).  During microbial responses, Toll-like receptors (TLRs) play a role to differentiate and determine the microbial structures as a ligand to initiate production of cytokines and pro-inflammatory agents to activate specific T helper cells (92; 93; 94; 95). Uniqueness of TLR comes from four major characteristics of each individual TLR by ligand specificity, signal transduction pathways, expression profiles and cellular localization (96). Thus, TLRs are important part of the immune response signaling mechanism to initiate and design adoptive responses from innate (naïve) immune system to defend the host.

TLRs are expressed cell type specific patterns and present themselves on APCs (DCs, MQs, monocytes) with a rich expression levels (96; 97; 98; 99; 93; 100; 101; 102; 87). Induction signals originate from microbial stimuli for the genesis of mature immune response cells.  Co-stimulation mechanisms stimulate immature DCs to travel from lymphoid organs to blood stream for proliferation of specific T cells (96).  After the induction of iDCs by microbial stimuli, they produce proinflammatory cytokines such as TNF and IL-12, which can activate differentiation of T cells into T helper cell, type one (Th1) cells. (103).

Utilizing specific TLR stimulation to link between innate and acquired responses can be possible through simple recognition of pathogen-associated molecular patterns (PAMPs) or co-stimulation of PAMPs with other TLR or non-TLR receptors, or even better with proinflammatory cytokines.   Some examples of ligand- TLR specificity shown in Table1, which are bacterial lipopeptides, Pam3Cys through TLR2 (92; 104; 105).  Double stranded (ds) RNAs through TLR3 (106; 107), Lipopolysaccharide (LPS) through TLR4, bacterial flagellin through TLR5 (108; 109), single stranded RNAs through TLR7/8 (97; 98), synthetic anti-viral compounds imiquinod through TLR 7 and resiquimod through TLR8, unmethylated CpG DNA motifs through TLR9 (Krieg, 2000).

IDO action

Then, the specificity is established by correct pairing of a TLR with its proinflammatory cytokines, so that these permutations influence creation and maintenance of cell differentiation. For example, leading the T cell response toward a preferred Th1 or Th2 response possible if the cytokines TLR-2 mediated signals induce a Th2 profile when combined with IL-2 but TLR4 mediated signals lean towards Th1 if it is combined with IL-10 or Il-12, (110; 111)  (112).

TLR ligand TLR Reference
Lipopolysaccharide, LPS TLR4 (96).  (112).
Lipopeptides, Pam3Cys TLR2 (92; 104; 105)
Double stranded (ds) RNAs TLR3 (106; 107)
Bacterial flagellin TLR5 (108; 109)
Single stranded RNAs TLR7/8 (97; 98)
Unmethylated CpG DNA motifs TLR9 (Krieg, 2000)
Synthetic anti-viral compounds imiquinod and resiquimod TLR7 and TLR8 (Lee J, 2003)

Furthermore, if the DCs are stimulated with IL-6, DCs relieve the suppression of effector T cells by regulatory T cells (113).

The modification of IDO+ monocytes manage towards specific subset of T cell activation with specific TLRs are significantly important (94).

The type of cell with correct TLR and stimuli improves or decreases the effectiveness of stimuli. Induction of IDO in monocytes by synthetic viral RNAs (isRNA) and CMV was possible, but not in monocyte derived DCs or TLR2 ligand lipopeptide Pam3Cys since single- stranded RNA ligands target TLR7/8 in monocytes derive DCs only (Lee J, 2003).  These data show that TLRs has ligand specificity, signal transduction pathways, expression profiles and cellular localization so design of experiments should follow these rules.

Conclusion:

Overall our purpose of this information is to find a method to manipulate IDO to correct/fix/modulate immune responses for clinical applications.  This first part of the review concerns the basic science information gained overall several years that lay the foundation that translational research scientist should familiar to develop a new technology for clinic. The first connection of IDO and human health came from a very natural event that is protection of pregnancy in human. The focus of the translational medicine is treatment of cancer or prevention/delay cancer by stem cell based Dendritic Cell Vaccine (DCvax) development.

References

1. Biochemistry of tryptophan in health and disease. BenderDA. 1983, Mol Aspects Med , pp. 6:101–197.

2. Molecular insights into substrate recognition and catalysis by indolamine 2,3-dioxygenase. Forouhar, F., Anderson, R., Mowat, C.F, et al. 2006, PNAS, pp. vol. 104, no:2, 473-478.

3. Importance of the Two Interferon-stimulated Response Element. Konan KV, Taylor, MW. 1996, J. Biol. Chem.-, pp. 19140-5.

4. induction of indolamine 2,3 dioxygenase: A mechanism of the anti-tumor activity of interferon gamma. Ozaki, Y., Edelstein, M.P., Duch, D.S. 1998, PNAS USA., pp. vol:85, 1242-1246.

5. Localization of the human indoleamine 2,3-dioxygenase (IDO) gene to the pericentromeric region of human chromosome 8. . Burkin, D. J., Kimbro, K. S., Barr, B. L., Jones, C., Taylor, M. W., Gupta, S. L. 1993, Genomics , pp. 17: 262-263.

6. Localization of indoleamine 2,3-dioxygenase gene (INDO) to chromosome 8p12-p11 by fluorescent in situ hybridization. Najfeld, V., Menninger, J., Muhleman, D., Comings, D. E., Gupta, S. L. 1993, Cytogenet. Cell Genet. , pp. 64: 231-232.

7. Molecular cloning, sequencing and expression of human interferon-gamma-inducible indoleamine 2,3-dioxygenase cDNA. . Dai, W., Gupta, S. L. 1990, Biochem. Biophys. Res. Commun. , pp. 168: 1-8.

8. Gene structure of human indoleamine 2,3-dioxygenase. Kadoya, A., Tone, S., Maeda, H., Minatogawa, Y., Kido, R. 1992, Biochem. Biophys. Res. Commun. , pp. 189: 530-536.

9. A gene atlas of th emouse and human protein-encoding transcriptomes. Andrew I. Su, Tim Wiltshire, Serge Batalov , Hilmar Lapp , Keith A. Ching , David Block, Jie Zhang , Richard Soden , Mimi Hayakawa , Gabriel Kreiman , Michael P. Cooke , John R. Walker , and John B. Hogenesch. 2004, PNAS, pp. vol. 101, no. 166062-6067 (10.1073/pnas.0400782101).

10. Indoleamine 2,3-dioxygenase production by human dendritic cells results in the inhibition of T cell proliferation. Hwu P, Du MX, Lapointe R, Do M, Taylor MW, Young HA. 2000, J. Immunol, pp. 164:3596–3599.

11. Inhibition of T cell proliferation by acrophage tryptophan catabolism. Munn, D.H. et al. 1999, J. Exp. Med., p. 189:1363.

12. HeLa cells cocultured with peripheral blood lymphocytes acquire an immuno-inhibitory phenotype through up-regulation of indoleamine 2,3-dioxygenase activity. Logan, G. J., Smyth, C. M. F., Earl, J. W., Zaikina, I., Rowe, P. B., Smythe, J. A., Alexander, I. E. 2002, Immunology, pp. 105:478-487.

13. Indoleamine 2,3-Dioxygenase – Is It an Immun Suppressor? Soliman H, Mediaville-Varela M, Antonia S. 2010, Cancer J. , pp. 16:354-359.

14. Targeting the immunoregulatory indoleamine 2,3-dioxygenase pathway in immunotherapy. Johnson BA, III, Baban B, Mellor AL. 2009, Immunotherapy. , pp. 645–661.

15. Indoleamine 2,3-dioxygenase and regulation of T cell immunity. AL., Mellor. 2005, Biochem Biophys Res Commun. , pp. 338(1):20–24.

16. Fallarino, F., Grohmann, U., Hwang, K. W., Orabona, C., Vacca, C., Bianchi, R., Belladonna, M. L., Fioretti, M. C.Modulation of tryptophan catabolism by regulatory T cells. Fallarino, F., Grohmann, U., Hwang, K. W., Orabona, C., Vacca, C., Bianchi, R., Belladonna, M. L., Fioretti, M. C., Alegre, M.-L., Puccetti, P. 2003, Nature Immun., pp. 4: 1206-1212.

17. CTLA-4-Ig regulates tryptophan catabolism in vivo. Grohmann, U., Orabona, C., Fallarino, F., Vacca, C., Calcinaro, F., Falorni, A., Candeloro, P., Belladonna, M. L., Bianchi, R., Fioretti, M. C., Puccetti, P. 2002, Nature Immun. , pp. 3: 1097-1101.

18. Reverse signaling through GITR ligand enables dexamethasone to activate IDO in allergy. Grohmann, U., Volpi, C., Fallarino, F., Bozza, S., Bianchi, R., Vacca, C., Orabona, C., Belladonna, M. L., Ayroldi, E., Nocentini, G., Boon, L., Bistoni, F., Fioretti, M. C., Romani, L., Riccardi, C., Puccetti, P. 2007, Nature Med., pp. 13:579-586.

19. Cells expressing indoleamine 2,3-dioxygenase inhibit T cell responses. Mellor, A. L., Keskin, D. B., Johnson, T., Chandler, P., Munn, D. H. 2002, J. Immun. , pp. 168: 3771-3776.

20. Chon, SY, Hassanain, HH, Piine, R., and Gupta, SL. 1995, J. Interferon Cytokine Res. , pp. 15, 517-526.

21. Levy, ED, KEsler, DS, Pine, R., Reich, N, and Darnell, JE.Jr et al. 1988, Genes Dev, pp. 2,383-393.

22. Benoist, C. and Manthis, D. 1990, Annu. Rev of Immunol., pp. 8, 681-715.

23. Dorn, A, Durand, B., Marling, C., Meur, M.L., Beoist, C., and Mathis, D. 1987, PNAS USA, pp. 34, 6249-6253.

24. Konan, K.V. Ph.D. Thesis. Transcriptional Regulation of the Indolamine 2,3-oxygenase Gene. s.l. : Indiana University, Bloominigton, 1995.

25. Tryptophan pyrrolase of rabbit intestine: D- and L–tryptophan cleaving enzyme or enzymes. Yamamoto, S., and Hayashi, O. 1967, J Biol Chem, pp. 242: 5260-5266.

26. Prevention of allogeneic fetal rejection by tryptophan catabolism. Munn, DH, Zhou M, Attwood JT, Bondarev I, Conway SJ, Marshall B, Brown C, Mellor AL. 1998, Science, pp. 281:1191–3.

27. Evidence for a tumoral immune resistance mechanismbased on tryptophan degradation by indoleamine 2,3-dioxygenase. Uyttenhove, C. et al. 2003, Nature Med. 9,, pp. 1269–1274 .

28. Pregnancy: success and failure within the Th1/Th2/Th3 paradigm. Raghupathy, R. 2001., Seminars in Immunology, pp. Volume 13, Issue 4, Pages 219–227.

29. Why is the fetal allograft not rejected? Davies, C. J. March 2007 , J ANIM SCI , pp. vol. 85 no. 13 suppl E32-E35 .

30. Exploring the mechanism of tryptoophan 2,3-dioxygenase. Thackray, S., Mowat, C.G., Chapman, K. 2008, Biochem. Society Transaction., pp. 36, 1120-1123.

31. The new life of a centenarian: signalling functions of NAD(P). Berger F, Ramírez-Hernández MH, Ziegler M. 2004, Trends Biochem Sci , pp. 29:111–118 .

32. Biochemistry of tryptophan in health and disease. DA, Bender. 1983, Mol Aspects Med, pp. 6:101–197.

33. Poliovirus induces indoleamine-2,3-dioxygenase and quinolinic acid synthesis in macaque brain. Heyes MP, Saito K, Jacobowitz D, Markey SP, Takikawa O, Vickers JH. 1992, FASEB J., pp. 6:2977–2989.

34. Sanni LA, Thomas SR, Tattam BN, Moore DE, Chaudhri G, Stocker R, Hunt NH 1998Dramatic changes in oxidative tryptophan metabolism along the kynurenine pathway in experimental cerebral and noncerebral malaria. . Sanni LA, Thomas SR, Tattam BN, Moore DE, Chaudhri G, Stocker R, Hunt NH. 1998, Am J Pathol, pp. 152:611–619.

35. Induction of pulmonary indoleamine 2,3-dioxygenase by intraperitoneal injection of bacterial lipopolysaccharide. . Yoshida R, Hayaishi O. 1978, Proc Natl Acad Sci USA , pp. 75:3998–4000.

36. Induction of indoleamine 2,3-dioxygenase in mouse lung during virus infection. . Yoshida R, Urade Y, Tokuda M, Hayaishi O. 1979, Proc Natl Acad Sci USA , pp. 76:4084–4086.

37. Induction of pulmonary indoleamine 2,3-dioxygenase by intraperitoneal injection of bacterial lipopolysaccharide. Yoshida R, Hayaishi. 1978, PNAS USA, pp. 3998-4000.

38. Sequence of human 2,3-dioxygenase (TDO2): presence of a glucorticoid response-like element composed of a GTT repeat and intronic CCCCT repeat. Comings DE, Muhleman D, Dietz G, Sherman M, Forest. 1995, Genomics, pp. 29:390-396165.

39. Studies on the biosynthesis of Nicotinamide adenine inucleotide. II.Arole of picolinic carboxylase in the Biosynthesisofnicotinamideadeninedinucleotidefromtryptophan in mammals. Ikeda M, Tsuji H, Nakamura S, Ichiyama A, Nishizuka Y, HayaishiO. 1965, J. Biol. Chem. , pp. 240: 1395-1401.

40. The Secret Life of NAD+: An Old Metabolite Controlling New Metabolic Signaling Pathways. Houtkooper R.H., Carles Cantó C. , Wanders, R.J. and Auwerx, J. 2010, Endocrine Reviews , pp. vol. 31 no. 2 194-223, doi: 10.1210/er.2009-0026.

41. Stimulation of Nicotinamide adenine dinucleotide biosynthetic pathways delays axonal degeneration after axotomy. Sasaki Y, Araki T, Milbrandt J. 2006, J Neurosci , pp. 26: 8484–8491.

42. European Nicotinamide Diabetes Intervention Trial (ENDIT): a randomised controlled trial of intervention before the onset of type 1 diabetes. Gale EA, Bingley PJ, Emmett CL, CollierT. 2004, Lancet., pp. 363:925–931.

43. Safety of high-dose nicotinamide: a review. Knip M, Douek IF, Moore WP, Gillmor HA, McLean AE, Bingley PJ, Gale EA. 2000, Diabetologia, pp. 43:1337–1345.

44. Large supplements of nicotinic acid and nicotinamide increase tissue NAD and poly(ADP-ribose) levels but do not affect diethylnitrosamine-induced altered hepatic foci in Fischer-344 rats. JacksonTM, Rawling JM, Roebuck BD, Kirkland JB. 1995, J Nutr , p. 125:1455.

45. Characterization and evolution of vertebrate indelamine 2,3-dihydrogenases IDOs from monotremes and marsupials. Yuasa, HJ, Ball, HJ, Ho, YF, Austin, CJ, et al. 2009, Comp. Biochem. Physiol. B. Biochem.. Mol. Biol., pp. 153 (2): 137-144.

46. Novel tryptophan catabolic enzyme IDO2 is the preferred biochemical target of the antitumor indolamine 2,3-dihydrogenase inhibitor compound D-1 methyl-tryptophan. Metz, R., Duhadaway, JB, Kamasani, U, Laury-Kleintop, L., Muller, AJ, Prendergast, GC. 2007, Cancer Res., pp. 67 (15): 7082-7087.

47. Total synthesis of exiguamines A and B inspired by catechollamine chemistry. Sofiyev, V, Lumb, JP, Volgraf, M., Trauner, D. 2012, Chemistry., pp. 18 (16): 4999-5005.

48. Molecular evolution of bacterial indolamine 2,3-dioxygenase. Yuasa, H J, Ushigoe, A, Ball, HJ. 2011, Gene., pp. 484 (1) : 22-31.

49. Infectious tolerance and the long-term acceptance of transplant tissue. Waldman, H., Adams, E., Fairchild, P., and Cobbold, S. 2006, J. Immunol., pp. 212:301-313.

50. Molecular evolution and characterizationof fungal indolamine 2,3-dioxygenases. Yuasa, HJ and Ball, HJ. 2012, J. Mol. Eval., pp. 72 (2): 160-168.

51. convergent evolution. The gene structure of Sulculus 41 kDa myoglobin is homologous with tht of human indolamine dioxygenase. Suzuki, T, Imai, K. 1996, Biochim. Biophys. Acta., pp. 1308(1):41-48.

52. Evolutionof myoglobin. Suzuki, T., Imai, K. 1998, Cell Mol Life Sci, pp. 54(9):979-1004.

53. A myoglobin evolved from indolamine 2,3-dioxygenase, trtptophan-degrading enzyme. Suzuki, T., Kawamichi, H., Imai, K. 1998, Comp Biochem Phisiol. Mol. Biol., pp. 121(2):117-128.

54. Do molluscs possess indolamine 2,3-dioxygenase? Yuasa, HJ and Suzuki, T. 2005, Comp. Biochem. Physiol. B. Biochem. Mol. Biol. , pp. (3) 445-454.

55. Comparison studies of the indolamine dioxygenase-like myoglobin from the abalone Sulculus diversicolor. Suzuki, T., Imai, K. 1997, Comp. Biohem. Phsiol B Biochem Mol Biol, pp. 117 (4)599-604.

56. Orchestration of the immune response by dendritic cells. Buckwalter MR, Albert ML. 2009, Curr Biol., pp. 19(9):355–361.

57. Dendritic cells and the control of immunity. Banchereau J, Steinman RM. 1998, Nature., pp. 245–52.

58. IDO expression by dendritic cells: tolerance and tryptophan catabolism. . Munn DH, Mellor AL. 2004, Nat Rev Immunol. , pp. 762–74.

59. Monocyte and Macrophage. Gordon, S. and Taylor, P.R. 2005, NATURE REVIEWS | IMMUNOLOGY , pp. vol:5, 953-964.

60. Blood monocytes consist of two principal subsets with distinct migratory properties. Geissmann F, Jung S, Littman DR. 2003, Immunity. , pp. 19:71–82.

61. Identification of a novel cell type in peripheral lymphoid organs of mice. I Morphology, quantitation, tissue distribution. . Steinman RM, Cohn ZA. 1973, J Exp Med., pp. 137(5):1142–1162.

62. T cell apoptosis by tryptophan catabolism. Fallarino F, Grohmann U, Vacca C, Bianchi R, Orabona C, Spreca A, Fioretti MC, Puccetti P. 2002, Cell Death Differ , pp. 9:1069–1077.

63. Kynurenine is a novel endothelium derived relaxing factor produced during inflammation. Wang, et al. 2010, Nat. Med., pp. 16(3): 279-285.

64. Activation of the noncanonical NF-kB pathway by HIV controls a Dendritic cell immunoregulatory phenotype. Manches, O. Fernandez, V.M.,, Plumas, J., Chaperot, L., and Bhardwaj, N. 2012, PNAS, pp. vol: 109, 14122-14127.

65. B cells inhibit induction of T cell-dependent tumor immunity. Qin, Z., Richter, G., Schuler, T., Ibe, S., Cao, X, Blakenstein, T. 1998, Nat. Med, p. 4:627.

66. Different partners, Opposite Outcmes: A new perspective of immunobiology of Indolamine 2,3 dioxygenase. Orabona, C., Pallotta, M.T., Grohman, U. 2012, Molecular Medicine., pp. 18:834-842.

67. Indolamine 2,3-dioxygenase: From catalyst to signaling function. Fallarino, F., Grohman, U., and Puccetti, P. 2012, Eurepean J. of Immunol. , pp. 42:1932-1937.

68. IDO: more than an enzyme. Chen, W. 2011, Nature Immonology, pp. 809-811.

69. Indolamine2,3-dehydrogenase in lung dendritic cells promotes Th2 responses and allergic inflammation. Xu, H., Oriss, T.B., Fei, M., Henry, A.C., Melgert, B.N., Chen, L., Mellor, A.L. 2008, PNAS USA, pp. 105: 6690-6695.

70. The immunoregulatory enzyme IDO paradoxically drives B-cellmediated autoimmunity. Scott, G.N., DuHadaway, J., Pigott, E., Ridge, N., Prendergast, G.C., Muller, A.J., Mandik-Nayak, L. 2009, J. Immunol., pp. 182:7509-7517.

71. Tryptophan deprivation sensitizes activated T cells to apoptosis prior to cell division. Lee GK, Park HJ, Macleod M, Chandler P, Munn DH, Mellor AL. 2002, Immunology , pp. 107:452–460.

72. Enzymology of NAD+ homeostasis in man. . Magni G, Amici A, Emanuelli M, Orsomando G, Raffaelli N, Ruggieri S. 2004, Cell Mol Life Sci , pp. 61:19–34.

73. Kynurenine pathway enzymes in dendritic cells initiate tolerogenesis in the absence of functional IDO. . Belladonna ML, Grohmann U, Guidetti P, Volpi C, Bianchi R, Fioretti MC, Schwarcz R, Fallarino F, Puccetti P. 2006, J Immunol. , pp. ;177:130–7.

74. An indogenous tumour promoting ligand of the human aryl hydrocarbon receptor. Opitz, et. al. 2011, pp. doi: 10.1038/nature10491,.

75. Inhibition of indoleamine 2,3-dioxygenase, animmunoregulatorytarget of the cancer suppression gene Bin1, potentiates cancer chemotherapy. Muller, A. J. et al. 2005, Nature Med. , pp. 11, 312–319 .

76. TGF-b; a master of all T cell trades. Li, M.O., Fravell, R.A. 2008, Cell. , pp. 134: 392-404.

77. Palotta, M.T. et al. 2011, Nat. Immunol., pp. 12:870-878.

78. Chen, W. et al. 2003, J. Exp. Immunol., p. 198: 1875.

79. Smads: transcriptional activators of TGF-beta responses. . Derynck R, Zhang Y, Feng XH. 1998, Cell , pp. 95 (6): 737–40. doi:10.1016/S0092-8674(00)81696-7.PMID 9865691. .

80. Smad transcription factors. Massagué J, Seoane J, Wotton D. 2005, Genes Dev, pp. 19 (23): 2783–810. doi:10.1101/gad.1350705. PMID .

81. A structural basis for mutational inactivation of the tumour suppressor Smad4. Shi Y, Hata A, Lo RS, Massagué J, Pavletich NP. 1997, Nature., pp. 388 (6637): 87–93.doi:10.1038/40431. PMID 9214508.

82. Promoting bone morphogenetic protein signaling through negative regulation of inhibitory Smads. Itoh F, Asao H, Sugamura K, Heldin CH, ten Dijke P, Itoh S. 2001, EMBO J., pp. 20 (15): 4132– doi:10.1093/emboj/20.15.4132. PMC 149146. PMID 11483516.

83. SMAD_Signaling_Network. http://www.sabiosciences.com. [Online] 2013. http://www.sabiosciences.com/pathway.php?sn=SMAD_Signaling_Network.

84. Immune inhibitory receptors. Revetch, J.V., and Lanier, L.L. 2000, Science., pp. 290:84-89.

85. Soc3 drives proteasomal degradation of indolamine 2,3-dioxygenase (IDO) and antagonizes IDO-dependent tolerogenesis. Orabona, C., Pallotta, M., Volpi, C., et al. 2008, PNAS USA, pp. 105: 20828-20833.

86. Cutting edge; silencing supressor of cytokine signaling3 expression in dendritic cells turns CD28-Ig from immune adjuvant to supressant. Orabona, C.,, Belladonna, M.L., et all. 2005, J. Immunol., pp. 174: 6582-6586.

87. Molecular signatures of T-cell inhibition in HIV-1 infection. Larsson, M., Shankar. E.M, Che, K.F., Ellegard, R., Barathan, M., Velu, V., and Kamarulzaman, A. 2013, Retrovirology, p. 10:31.

88. TGF-beta and CD4+CD25+ regulatory cells. Huber, S. and Schramn, C. 2006, Front. Bioscie., pp. 11:1014-1023.

89. Immune Escape as a fundemental trait of cancer; focus on IDO. Prendergast, G.C. 2008, Oncogene., pp. 27, 3889-3900.

90. Il-6 inhibits the tolerogenic functionof CD8+ dendritic cells expressing indolamine 2,3-dioxygenase. Grohman, U., Fallarino, F., et al. 2001, J. Immunol., pp. 167:708-714.

91. Avoiding horror autotoxicus: Th eimportance of dentritic cells in peripheral T cell tolerance. Steinman, R.M., and Nussenzweig, M.C. 2002, PNAS, pp. no:1, 351-358.

92. Dendritic-cell function in Toll-like receptor- and MyD88-knockout mice . Kaisho, T., Akira, S. 2001, Trends Immunol , pp. 22,78-83.

93. Innate sensing of self and non-self RNAs by Toll-like receptors. Sioud, M. 2006., Trends Mol Med., pp. 12:67–76.

94. Impaired expression of indoleamine 2, 3-dioxygenase in monocyte-derived dendritic cells in response to Toll-like receptor-7/8 ligands. Furset, G., Fløisand, Y. and Sioud, M. 2008, Immunology., pp. 123(2): 263–271, doi: 10.1111/j.1365-2567.2007.02695.x.

95. Toll-;ike receptor 9 mediated induction of the immunorepressor pathway of tryptophan metabolism. Fallarino, F., and Puccetti, P. 2006, Eur. J. of Imm., pp. 36:8-11.

96. Toll-like receptors and host defense against microbial pathogens: bringing specificity to the innate immune system. . Netea MG, der Graaf C, Van der Meer JWM, Kullberg BJ. 2004, J Leukoc Biol. , pp. 75:749–55.

97. Species-specific recognition of single-stranded RNA via toll-like receptor 7 and 8. . Heil F, Hemmi H, Hochrein H, et al. 2004, Science. , pp. 303:1526–9.

98. Innate antiviral responses by means of TLR7-mediated recognition of single-stranded RNA. . Diebold SS, Kaisho T, Hemmi H, Akira S, Reis e Sousa C. 2004., Science. , pp. 303:1529–31. .

99. The role of CpG motifs in innate immunity. Krieg, A.M. 2000., Curr Opin Immunol., pp. 12:35–43.

100. Anendogenous tumour-promoting ligand of the human aryl hydrocarbon receptor. Opitz, C.A., Litzenburger, U.M., Sahm, F., Ott,M., Tritschler, I., Trump, S. 2011, Nature, pp. vol 478; 197-203.

101. Impaired impression of Indolamine 2,3-deoxygenase in monocyte derived DCs in response to TLR-7/8. Furset, G., Floisand, Y., Sioud, M. 2007, Immunology, pp. 263-271.

102. Activationof the noncanonical NF-kB pathway by HIV controls a Dendritic cell immunoregulatory phenotype. Manches, O. Fernandez, V.M.,, Plumas, J., Chaperot, L., and Bhardwaj, N. 2012, PNAS, pp. vol: 109, 14122-14127.

103. Regulation of dendritic cell numbers and maturation by lipopolysaccharide in vivo . de Smedt, T., Pajak, B., Muraille, E., Lespagnard, L., Heinen, E., De Baetselier, P., Urbain, J., Leo, O., Moser, M. 1996, J. Exp. Med., pp. 184,1413-1424.

104. Subsets of dendritic cell precursors express different Toll-like receptors and respond to different microbial antigens . Kadowaki, N., Ho, S., Antonenko, S., de Waal Malefyt, R., Kastelein, R. A., Bazan, F., Liu, Y-J. 2001, J. Exp. Med., pp. 194,863-869 .

105. TRAF6 is a critical factor for dendritic cell maturation and development . Kobayashi, T., Walsh, P. T., Walsh, M. C., Speirs, K. M., Chiffoleau, E., King, C. G., Hancock, W. W., Caamano, J. H., Hunter, C. A., Scott, P., Turka, L. A., Choi, Y. 2003, Immunity , pp. 19,353-363 .

106. Activation of interferon regulatory factor-3 via toll-like receptor 3 and immunomodulatory functions detected in A549 lung epithelial cells exposed to misplaced U1-snRNA. Sadik CD, Bachmann M, Pfeilschifter J, Mühl H. 2009, Nucleic Acids Res. , pp. 37(15):5041-56. doi: 10.1093/nar/gkp525. Epub 2009 Jun 18.

107. Triggering of the dsRNA sensors TLR3, MDA5, and RIG-I induces CD55 expression in synovial fibroblasts. Karpus ON, Heutinck KM, Wijnker PJ, Tak PP, Hamann J. 2012, PLoS One., p. 7(5):e35606. doi: 10.1371/journal.pone.0035606. Epub 2012 May 10.

108. The structure of the TLR5-flagellin complex: a new mode of pathogen detection, conserved receptor dimerization for signaling. Lu J, Sun PD. 2012, Sci Signal., p. 5(216):pe11. doi: 10.1126/scisignal.2002963. .

109. Flagellin/Toll-like receptor 5 response was specifically attenuated by keratan sulfate disaccharide via decreased EGFR phosphorylation in normal human bronchial epithelial cells. Shirato K, Gao C, Ota F, Angata T, Shogomori H, Ohtsubo K, Yoshida K, Lepenies B, Taniguchi N. 2013, Biochem Biophys Res Commun., pp. doi:pii: S0006-291X(13)00779-1. 10.1016/j.bbrc.2013.05.009. [Epub ahead of print].

110. Differential induction of interleukin-10 and interleukin-12 in dendritic cells by microbial Toll-like receptor activators and skewing of T-cell cytokine profiles Infect. Qi, H., Denning, T. L., Soong, L. 2003, Immun. , pp. 71,3337-3342 .

111. Thoma-Uszynski, S., Kiertscher, S. M., Ochoa, M. T., Bouis, D. A., Norgard, M. V., Miyake, K., Godowski, P. J., Roth, M. D.Activation of Toll-like receptor 2 on human dendritic cells triggers induction of IL-12, but not IL-10 . Thoma-Uszynski, S., Kiertscher, S. M., Ochoa, M. T., Bouis, D. A., Norgard, M. V., Miyake, K., Godowski, P. J., Roth, M. D., Modlin, R. L. 2000, J. Immunol. , pp. 165,3804-3810.

112. Toll-like receptor 2 (TLR2) and TLR4 differentially activate human dendritic cells . Re, F., Strominger, J. L. 2001, J. Biol. Chem. , pp. 276,37692-37699.

113. Pasare, C., Medzhitov, R. (2003) Toll pathway-dependent blockade of CD4+CD25+ T cell-mediated suppression by dendritic cells. Pasare, C., Medzhitov, R. 2003, Science , pp. 299,1033-1036 .

 

  

Read Full Post »

English: This diagram shows the chromosomes of...

This diagram shows the chromosomes of Drosophila melanogaster approximately to scale. Chromosome sizes were based on basepair lengths given on the NCBI map viewer, and A. B. Carvalho, 2002. Curr. Op. Genet. & Devel. 12:664-668. Centimorgan distances were derived from selected loci listed in the NCBI website. (credit  Wikipedia)

Introduction

Generally speaking sexually reproducing species are composed of individuals of two complementary mating types or sexes.  An essential aspect of the developmental history of each individual is thus sex determination and differentiation. There exist two sex determination mechanisms, somatic and germline, that based on the chromosomal mechanism in the Drosophila melanogaster.  In the somatic sex determination mechanism, each individual assesses the ratio of X-chromosomes to autosomal chromosome sets), the X:A ratio provides the primary sex-determining signal   (reviewed by Cline and Meyer, 1996).  When X:A=1, female differentiation ensues (Bridges, 1925), along with the male-mode of X-chromosome dosage compensation.  The X:A ratio is calculated within each cell of the developing embryo, 2 hrs after fertilization. The X:A ratio determines the sex in Drosophila (Bridges, 1916, 1921, 1925) in a somatic-cell-autonomous manner that occurs early in embryonic development (Baker and Belote, 1983; Baker, 1989). Females possess two X-chromosomes, and males possess one X-chromosome and one Y-chromosome.   The Y-chromosome is required only for spermatogenesis (Lindsley and Tokuyasu 1980; Bridges 1986), and will not be considered further.  The number of X-chromosomes is counted through a mechanism involving positive-acting X-chromosome-encoded transcription factors, termed X-numerator elements (Cline, 1988), negative-acting autosome-encoded transcription factors or denominators, and signal transduction factors provided maternally.  Among the X-numerators are sisterless-a, sisterless-b (sis-b), sisterless-c, and runt (Schurpbach, 1985; Cline, 1986, 1988; Steinmann-Zwicky et al., 1989; Parkhurst et al., 1990; Ericson and Cline, 1991, 1993; Estes, 1995; Hoshijima et al., 1995; reviewed by Cline, 1993).

The best candidate for a denominator gene is the deadpan (dpn) locus.  Both daughterless (da) and extramacrochaete (emc) fulfill the role of maternally contributed transduction loci (Cline, 1976; Cronmiller et al., 1988).  Both in vitro biochemical evidence and in vivo genetic evidence support the idea that transcription factors of the basic-helix-loop-helix (bHLH) family are able to form homo- and hetero-dimers; thus the X:A ratio counting mechanism seems to involve the relative affinities and chromosome-dependent stoiciometries of the bHLH proteins SIS-B, DA, EMC, and DPN.  When X:A=1, sufficient SIS-B protein is synthesized so that it can effectively compete with the EMC and DPN proteins for binding to DA protein.  DA:SIS:B heterodimers then bind to so-called establishment promoter (Pe) elements of the SXL gene and activates its transcription, resulting in an early burst of SXL protein that sets splicing and dosage compensation in to female-specific modes.  When X:A=0.5, too little SIS-B is produced, and DA protein remains sequestered with EMC and DPN.  The Sxl Pe remains inactive, and splicing and dosage compensation enters male-specific modes. In response to X:A ratio=1, an embryo specific promoter of the gene called Sex-lethal (Sxl) is activated (Keyes et al., 1932).

Sxl protein that acts as a master gene for the somatic germline sex determination, has three somatic functions. First, Sxl protein carries out autoregulation at the level of pre-mRNA splicing.  Second, Sxl controls female-specific differentiation at the level of pre-RNA splicing and polyadenylation at least two genes that code for transcription factors that effect terminal differentiation. Third, Sxl protein negatively regulates X-chromosome dosage compensation.  It does so in two ways, by alternative RNA splicing of a normally male-specific gene, and by translation-level regulation of many X-chromosomal transcripts during embryogenesis. In the male, with Sxl in the off state, male differentiation occurs because tra is in the off state and therefore the differentiation-effector transcription factors are produced in alternative male-specific modes.  Dosage compensation is active, and the male X-chromosome is decorated by a minimum of four proteins and two RNA molecules that form a complex along the entire chromosome (reviewed by Cline and Meyer, 1996).  Transcription of the male X-chromosome is elevated two-fold, and it produces the same amount of RNA per template as found in females.

Germline pathway for sex determination and dosage compensation is different than the somatic sex determination mechanism.  (Figure 1) Figure 1: Sex determination of D. melanogaster (1998)The vast majority of somatic sex determination loci have no function in germline cells.  For example, none of the X-chromosome numerators is required for proper oogenesis (Granadino et al., 1989, 1992; Steinmann-Zwicky 1991), despite the fact that proper oogenesis requires that X:A =1 in the germline (Schupbach, 1982, 1985) nor are tra, tra-2, and dsxF required for oogenesis.  Sxl and snf have germline functions but the former is not a binary switch gene between oogenesis and spermatogenesis (Despande et al., 1996; Bopp et al., 1993, 1995; Hager et al., 1997). Systematic screens for female-sterile mutations have identified a large number of genes required for normal oogenesis (e.g. Gans et al., 1975; Mohler, 1977; Perrimon et al., 1986; Schupbach and Wieschaus, 19889, 1991).  Female-sterility can arise in diverse ways, but one interesting class of mutations is germline-dependent and causes an “ovarian tumor” phenotype.  “Ovarian tumor” mutations cause under-developed ovaries, in which egg chambers and ovarioles are filled with an excess of undifferentiated germ cells that have adopted male-like characteristics that include a prominent spherical nucleus, assembly of mitocondria around the nucleus, and mis-expression of male-specific marker genes (Oliver et al., 1988, 1990, 1993; Steinmann-Zwicky, 1988, 1992; Bopp et al., 1993; Pauli et al., Wei et al., 1994).  Among the “ovarian tumor” class of genes are ovo, ovarian tumor (otu), fused, and two genes with somatic phenotypes, namely snf and Sxl. Strong mutations at the ovo and otu loci result in ovaries totally devoid of germ cells (King and Killey, 1982; Busson et al., 1983; Oliver et al., 1987; Mevel-Ninio et al., 1989; Rodesh et al., 1995), Weaker mutations at both loci result in viable germline cells that have abnormal male-like splicing at the Sxl gene (Oliver et al, 1993). The overall conclusion is that oogenesis requires a chromosomally female germline is wild type for ovo, otu, Sxl, and snf.  If one of these genes is defective, either the germline will die or male-like differentiation and tumor formation ensure.

However, there are soma-germline interactions for a normal sex determination. (Figure 2) Figure 2: Somatic-Germline Interactions. (1998)Unlike the somatic regulatory hierarchy, which genetic mosaic experiments clearly showed functions in cell-autonomous fashion, sexual differentiation of the germline requires inductive signaling from somatic cells.  This was shown by use of pole cell transplantation, the method of making mosaics in which germline cells surgically transferred from donor embryos  (Schubach. 1985; Steinmann-Zwicky et al., 1989).  These experiments show that proper germline differentiation requires a combination of germline-autonomous chromosomal cues and proper signaling from the soma.  Evidence with tra and dsx mutant somatic hosts indicates these soma-germline interactions have detectable effects by larval stages (Steinmann-Zwicky., 1996).

The ovo gene is genetically complex.  At least three transcripts are produced from the ovo region (Mevel-Ninio et al, 1991, 1995, 1996; Garfinkel et al., 1992, 1994).  Two of these are germline-specific and correspond to the ovo function, while the third corresponds to the somatic-epidermal, non-sex-specific shavenbaby (svb) function.  (For a schematic of the gene map please refer to Figure3) 

 The ovo function is transcribed from two closely spaced germline-specific promoters, ovo a and ovob, give rise to 5-kb mRNAs (Mevel-Ninio et al., 1991, 1995; Garfinkel et al., 1992, 1994).   First identified  promoter was ovob  Garfinkel et al., (1994)  and the leader exon it forms is called Exon 1b, 1028-codon-long open reading frame that contains four Cys2-His2 fingers at the carboxy terminus; protein MW of 110.6 kD.  A second germline promoter, ovoa, was identified by Mevel-Ninio et al (1995), 1400 codons long, and predicts a 150.8-kD protein.  This Exon 1a contains an in-frame AUG upstream of the translation start in Exon 2 utilized by the OvoB open reading frame.  The OvoB mRNA isoforms is predominant during adult life, with the OvoA isoforms only appearing during Stage 14 of oogenesis (Mevel-Ninio et al., 1991, 1996; Garfinkel., 1994).  The ovo zinc finger domain binds to its own germline promoter regions, to the otu promoter region (Garfinkel et al., 1997; Lee, 1998; Lee and Garfinkel 1998).  This is consistent with ovo playing an important role in a sex determination hierarchy operating in germline cells that involves these other genes. The svb function is transcribed from an incompletely characterized somatic promoter that forms a 7.1 kb poly(A)+ mRNA (Garfinkel et al., 1994).  This transcript accumulates 9-12-hr post-fertilization, in the somatic tissues that later in embryogenesis form the cuticular structures affected by svb mutations.  Wieschaus et al. (1984) observed that ventral denticle belts and dorsal hairs are defective in svb mutations; hence the name, and svb mutations are polyphasic larval lethals. Exons and exon segments that are found in all mRNA forms coded by the region correspond to genomic DNA where so-called svb-ovo- mutations map (Mevel-Ninio et al., 1989; Garfinkel 1992).  Finally, somatic-specific exons, exon segments, and transcriptional regions correspond to region mutable to the svb- ovo- phenotype.  Since al known mRNA forms utilize the same splice junctions to join Exon3 to Exon4, all protein forms coded by the locus are believed to contain the same four zinc fingers at the carboxy terminus.   A wide variety of evidence points to ovo playing a critical role in germline sex determination.  High-level of ovo transcription in germline cells, as detected with Xgal staining of ovo promoter-lacZ constructs requires that they have a female karyotype (Oliver et al., 1994).  Chromosomally male germline cells have low levels of ovo transcription even if the soma is transformed towards female through the use of hs-traF cDNA minigenes.  Likewise, chromosomally female germline cells have high levels of ovo transcription even if the soma is anatomically male through the action of tra loss-of-function mutations.  This argues that high-level of ovo transcription is a germline X: A ratio-autonomous property, and stands in contrast to related experiments with otu.  In the case of otu, there is evidence that chromosomally male germline cells, which normally have no need of otu+ function at all, require otu- for proliferation when they are in a female host (Nagoshi et al., 1995). The D. melanogaster ovo gene is required for cell viability and differentiation of female germ cells, apparently playing a role in germline sex determination.  While female X: A ratio in germline cells is required for high levels of ovo germline promoters.  Therefore we undertook to identify trans-acting regulatory regions of the X-chromosome, with a particular interest in identifying candidate germline X-chromosome numerator elements. In this study, I screened  X-chromosome using 45 deficiency strains, I found that these trans-regulating regions were grouped into 12 loci based on overlapping cytology.  Five regions were trans-regulating activators, and seven were trans-regulating repressors; extrapolating to the entire genome, this result predicts nearly 85 loci.  A subset of the dozen X-chromosomal regions correlated with previously identified E(ovoD) and Su(ovoD) loci (Pauli et al., 1995).  

Materials and Methods

 

Fly Strains and Growth Flies were maintained on standard yeast/cornmeal medium and kept at 25oC and 18oC unless otherwise indicated.  Mutants are described in Lindsley and Zimm (1992).  The ovo3U21 and ovo4B8 were obtained from Brian Oliver of NIH;  OvoD1rS1 FM3 is from the Garfinkel lab collection.  The remaining stocks were obtained from the Bloomington Stock Center (see Table 2.1 for the list of stocks that had been used and Figure 2.1 for their location on the X Chromosome). 

Outcrosses Outcrosses were designed to create transgenic flies so that screening of the X chromosome for trans-regulators of ovo in the germline can be done.   Virgin female flies were collected 14 hour long windows at 18oC or 8 hour long windows at 25oC, during which newly emerged males remained immature.  Collected females were kept 3-5 days to make sure they are virgin before outcrossing them.  Heterozygous virgin females (5-7), carrying deficiency X-chromosomes balanced over first chromosome balancers were mated with males homozygous for either of two P-element transformation constructs of a lacZ reporter gene fused to the ovo promoter.  Both events were inserted on third chromosome.  They were grown at 25oC unless otherwise noted. The control class of F1 progeny has a complete X-chromosome pair, whereas the experimental class has one complete and one deficient X chromosome in its genome.  The [ovo::lacZ constructs] were designed by Oliver et al., (1994).  In this study two of their strains, ovo4B8 (pCOW+1.9) and ovo3U21 (pCOW-2.1) respectively, were used to determine the ovo promoter activity.

Outcrosses to Remove Duplications Several X-chromosome deficiencies in the Bloomington collection are carried in males, with compensatory duplications of X material on an autosome.  These had to be crossed to eliminate the duplications (Fig 2.4).  This was done as follows:  FM3/FM7a virgin flies were mated to Df/Y; Dp males.  Among the F1 progeny, half of the Df/(FM3 or FM7a) daughters will carry the unwanted duplication, and half will be free of the duplication.  In some cases, presence of the duplication could be determined from the females’ phenotypes.  In other cases, up to twenty individuals virgin Df(FM3 or FM7) F1 progeny were backcrossed to FM7a/Y males to establish stocks.  In the F2, absence of the duplication could be established by examining sons; in all cases, the Df is male-lethal unless “rescued” by the duplication.  Also FM3 is itself male lethal.  Thus, single-female stocks that produce only FM7a sons had the desired genotypes and were kept for experiments.

X-Gal Staining In this assay ovaries from two-day-old adults were dissected in Drosophila Ringer’s solution (182 mM KCl, 46 mM NaCl, 3 mM CaCl2, 10mM TrisHCl, pH 6.8).  Then, these tissues were transferred to a microtiter plate and fixed in 1% gluteraldehyde, 50mM Na-cacodylyte acid solution for 15 minutes. After rinsing the tissues, three times for 5 minutes each staining buffer (7.2 mM Na2HPO4, 2.8 mM NaH2PO4, 1.0 mM MgCl2, 0.15 mM NaCl), they were transferred to incubation buffer (staining buffer, 5 mM Fe2 (CN)3, 5 mM Fe3 (CN)2, 0.2% X-Gal) for an hour at 37oC.  Next, tissues were washed three times 5 minutes each in washing buffer, which is a 1 mM EDTA, added PBS (130 mM NaCl, 7 mM Na2HPO4*2H2O, 3 mM NaH2PO4*2H2O, pH 7.0) solution.  Finally, the tissues were dehydrated in ethanol solutions of increasing concentrations (50%, 75%, 95%) and mounted on a slide in Permount.  Preparate concentrations were examined under a compound microscope to make correlations between staining and gene activity. Although it was easy to determine positive and negative controls, but this assay wasn’t sensitive enough to see subtle differences due to effects of deleted regions on ovo promoters driving LacZ.

Histochemical Assay of LacZ Activity This method allowed us to make quantitative measurements of lacZ activity due to ovo promoter function in animals heterozygous for X-chromosome deletions.  Emerging F1 flies were collected and aged for two days before dissecting ovaries under a dissecting microscope.  For each soluble assay, 10 flies were dissected.  This is repeated at least seven assays (N, sample number) completed per stock for each construct.  Ovaries from ten dissected outcrossed flies were out into eppendorf tubes containing 100ml of Assay Buffer (50 mM K-phosphate, 1 mM MgCl2 at pH 7.8) and homogenized about 20 strokes.  For each dissected pair of ovaries 100 ml  of assay buffer was used and the volume was completed to appropriate amount.  After centrifuging for one minute, 20 ml of the supernatant was transferred into 980 ml of assay buffer (Simon and Lis, 1987; Ashburner, 1989) to make 2mM chlorophenol red-beta-D-galactopyranoside (CPRG).  Absorbance at 574 nm was measured at half hour time intervals starting from zero to two hours hydrolysis of CPRG by chlorophenol (red CPRG).  CPR has a molar extinction coefficient of 75,000 M-1 cm-1 (Boehringer-Manheim data sheet) and this is a very easily detected product of b-galactoside enzyme activity. Range finding experiments showed that 2mM of CPRG gives linear data for 2-3 hours often, color changes could be seen with the unaided eye. Two controls are shown in Figure 2.8 that validates CPRG for this work.  Ovaries from a non-transformed strain (y w RD) were used to prepare soluble extracts.  A near zero-absorbance at 574 nm was observed that did not appreciably change over several hours.  In contrast, ovarian extracts from the ovo promoter-lacZ transformant strain ovo3U21 and ovo4B8 (Oliver et al, 1994) showed a steep linear increase in A 574 during the same period.  The slopes of these lines were proportional to the amount of ovo3U21 and ovo4B8 extract added.

Bradford (1976) Assay For Protein This protein determination method is based on the binding of Coomasie Brilliant Blue G-250 to the protein.  Preparation of protein reagent was done according to Bradford (1976).  After 100 mg of Coomasie Brilliant Blue G-250 was dissolved in 50 ml 95% ethanol, and then 100 ml 85% (w/v) phosphoric acid was added.  The resulting solution was diluted to a final volume of 1 liter [final concentrations in the reagent were 0.01% (w/v) Coomasie Brilliant Blue G-250, 4.7% (w/v) ethanol, and 8.5% (w/v) phosphoric acid].  20ml of prepared soluble extract from the dissected tissues were used.  This volume is diluted to 0.1ml with ddH2O, then 5ml of protein reagent was added to the test tube and contents were mixed.  The absorbance at 595nm was measured after 2 min and before 1 hr in 3 ml cuvettes against a reagent blank prepared from 0.1 ml of the appropriate buffer and 5 ml of protein reagent.  A standard curve using known quantities of bovine serum albumin (BSA) was constructed.  Soluble extract absorbances were plotted on the standard curve and protein amount interpolated.

Statistical Analysis Average specific activity is calculated as nanomoles of substrate used per hour per nanogram protein expressed (nmole CPRG liberated /ng / hr).  Sample number (N) always exceeded seven.  Mean specific activity and standard error of the mean (SEM) were calculated for each experimental and control class.  The F test was used to determine whether variances were equal, and therefore,, which type of student’s t-test calculation was appropriate.  A significant difference between experimental and control values was identified by a P < 0.05 for the t-test score.

RESULTS

In this study and ovo mechanism study, the X-chromosome was screened, using 56 different deficiency strains    Table 1: List of Stocks for X-chromosome Screening (1998)Table 2: Stocks Made in This Study for X-Chromosome Screening Table 1: Stocks for Negative Autoregulation of ovo (1998)  to identify transregulation of ovo Table 3: LacZ Specific Activities Obtained by Screening X-Chromosome with ovo3U21Table 4: LacZ Specific Activities Obtained by Screening X-Chromosome with ovo4B8 (Results)

The results are given in three sections: X chromosome deficiency screening, negative autoregulation of ovo exhibited by deficiencies removing ovo, and gene dose analysis using P element transformants carrying extra copies of ovo.

X Chromosome Screening The presence of polytene chromosomes in the salivary glands, which have distinctive, banding patterns allows the map positions of genes to be correlated with physical features of the chromosomes.  Breakpoint locations rearrangements, and the locations of cloned sequences can be easily established.  Each of the major chromosome arms is divided into 20 numbered segments, except chromosome 4, which is divided into 4 regions.  Each numbered region is then divided into six consecutive lettered regions, and each lettered region into numbered bands, for example 4E1. The precise relationship between physical length and the numbering scheme depends on local topography (Lefevre, 1976).  In the summary tables, each deficiency listed according to cytological positions. The map of the X chromosome, including the deficiencies used in this study is given in Materials and Methods (Fig 1). Figure 1: Sex determination of D. melanogaster (1998) In Drosophila melanogaster germ cells, ovo has a primary role in female sex specific cell viability, proliferation and differentiation.  Ovo responds to the number of X-chromosomes as assessed by high level expression (Oliver et al., 1994).  Thus, the ovo promoter may be dependent upon X germline numerator elements.  To identify possible trans-regulators of the ovo germline promoter (and, I hope, to identify germline numerators) I undertook deficiency screen for quantitative effects on ovo::lacZ reporter constructs.  Determination of trans-regulation effect by any of the deletion mutant, was based on two general rules.  If the excised part of the X chromosomes has any genes with the positive regulatory effects on ovo gene activity, then the levels of LacZ reporter gene function will be reduced in experimentals compared to control siblings.  If the experimental class results in the elevation of the LacZ activity by producing high levels of enzyme compared to controls, the elevated region having removed a repression locus. Significant effects were determined by statistical analysis, which using a student’s t-test P value is less than or equal to 0.05.  X-chromosome screening results are presented in Table 3.1 and 3.2.  The entire X-chromosome deficiency set was tested twice: once with a 3.3kb ovo promoter fragment driving LacZ (strain ovo3u21), and separately with a 3.1kb ovo promoter (ovo4B8).  Of  45 deficiencies that represent about 70% of the X-chromosome 17 deficiencies had significant effects in both ovo3U21 and ovo4B8 reporter activity, 1 deficiency had significant effects on only ovo3U21 and only 1 deficiency effect on ovo4B8.  Some of these deficiencies partly overlap, allowing the identification of 11 regions that apparently contain trans-acting modifiers of ovo promoter activity six are positive regulators and five are negative.

Region 1-4.  This region covers the eight overlapping deficiency lines, Df(1) BA1, Df(1)sc14, Df(1)64c18, Df(1)JC19, Df(1)dm75e19, Df(1)N8, Df(1)A113, DF(1)JC70.  For three of them, Df(1)A113, Df(1)JC70, and Df(1)BA1, the student’s t-test probabilities show a significant difference between control and experimental siblings.  The remaining strain has no significant trans-regulation effect on ovo gene activity.  Df(1)BA1 enhanced the ovo gene expression activity about 20% when either ovo3U21 or ovo4B8 is used.  It was suggested that a suppressor of ovoD (1F-2B+ locus) maps within 1E3-4 to 2B3-4 because of the dramatic gene dose effect of this region on the development of ovoD2/+ ovaries (Pauli et al, 1995).  In contrast, it was found that Df(1)A113 and Df(1)JC70 have repressing effects on ovo expression.  Df(1)A113 (3D6-E1; 4F5) removes several genes beside ovo, showed a very significant repression effect in outcrosses, about 82% and 47% (e/C), in ovo3U21 and ovo4B8 respectively.  That data obtained in Df/+ females has a particular quantitative significance, which implies that the missing loci have the complementary effect. It was shown that this region is contains a gene or genes resulting in genetic unbalance (Cline et al., 1987).  Also, Oliver et al., (1988) show that in deficiency lines, which they have used, strains removing both ovo and snf together are reducing viability of the progeny, that is, there is a synergistic interaction between ovo and snf.  

Region 5-8.  Twelve overlapping deletions have been tested in this region.  Two deletions Df(1)N73 (5C3-5;5E-8) and Df(1)Lz90b24 (8B-D) caused very significant repressing effects, implying the presence of trans-activating loci, one deletion Df(1)RA2 (7D10;8A4-5) resulted in heterozygous experimentals with significant elevation in LacZ compared to siblings, implying a trans-repressor locus.  It has been reposted that Df(1)RA2 strongly enhances ovoD  phenotypes due to the function of otu+ in germline sex determination (Pauli et al., 1993).  However, since out protein is cytoplasmic, it is unlikely that the Df(1)RA2 effect on ovo::lacZ promoter activity is due to changing dosage of otu.  It is also suggested that there is a synergistic interaction between ovo and lozenge, eye phenotype, which is deleted by Df(1)Lz90b24, and here the data showed a trans-activating effect due to this deletion.  The other deletions do not cause any significant effect on gene activity.

Region 9-10.  In this cytological position nine deficiency lines had been tested.  Since this region was very dense for putative trans-regulation repressors, it was group in a small region.  Among nine of the deficiencies were used six of them showed a repressor effect.  These effective regions were: Df91)vL15, Df(1)N110, Df(1)HC133, Df(1)vL11, Df(1)KA7, and Df(1)N71.  This region seems to have a very important effect on ovo, since in the 9Bto 10F interval there are various levels of repressor effect.  Two common overlapping regions were found; one was from 9C4 to 9D1-2, and the other was from 10A to10F6.  Other repressor effects from strongest to weakest was Df(1)vL11 (9C4;10A1-2), Df(1)HC133 (9B9-10;9E-F), Df(1)N110 (9B3-4;9D1-2), and Df(1)v-L15 (9B1-2;10A1-2), Df(1)KA7 (10A9;10F6-7) breakpoint was outside the first loci in the examined region.  Df(1)Ka7 and Df(1)vL15 show about 20% increase in the heterozygous siblings, the longest and the shortest breakpoints, respectively.  Three out of five repressing effect intervals, Df(1)v-L11 (9C4; 10A1-2), Df (1)HC133 (9B9-10; 9E-F), Df(1) N110 (9C4; 10A1-2) is the strongest of all in Df/+ and bearing the common region among the five strains, which is 9C4; 10A1-2.  

Region 11-13.     Eight deficiency lines were in this region, Df(1)JA26, Df(1)HF368, Df(1)N12, Df(1)C246, Df(1)g, Df(1) RK2, Df(1)RK4, and Df(1) sd 72b   .  It has been found that this region involves five overlapping deletions that gave rise to repressing effect on ovo gene expression.  According to common regions of the cytological positions, these overlapping deletions were grouped into three loci.  These three common regions, which are responsible from trans-regulation activity of ovo, reside on 11D0F; 12B-D, and 13F-B regions of the X-chromosome.  Df(1)N12 (11D12;11F1-2) and Df(1)C246 (11D-E; 12A1-2) were in the 11D-F loci, Df(1)g (12B;12E8) and Df(1)RK2 (12D2-E1; 13A2-5) were in the 12B0D region, and Df(1)sd72B (13F1-14B1) in the 13B-14B loci, all of which in this examined region showed a repressor activity. The strongest effect among the X-chromosome screening was located in 11D1-11F1-2 excised region of X-chromosome, this deletion corresponds to Df(1)N12 strain, which shows a significant effect as well as high gene activity repression, Around 140% to 240% E/C in Df/+ flies for both ovo::LacZ constructs.  In addition, it has been reported that reduced dose of the 11D-F region results in synergistic mutant phenotypes with a number of somatic sex determination genes (Belote et., 1985).  Furthermore, Flybase reports that this region seems to include locus involved in early sex determination examined by Scott and baker (1986). However, ambiguities in deficiency breakpoint assignments complicate interpretation.  For example, first loci, which includes Df(1)N12 and Df(1)C246 due to uncertainty at the distal end breakpoints of Df(1)C246 (12D-e; 12A1-2); the trans-acting repressor of ovo maybe located in 11E-F rather than 11D-F. Similarly, for the second loci in this region ambiguity at the distal breakpoint of Df(1)RK2 also cause a dilemma about the location of the trans-acting repressor, since the question was the common region between Df(1)g and Df(1)RK2 was whether in the 12D-E or in the 2E1-2E8 of X-chromosome. On the other hand, the last loci were determined by the only one deficiency strain.  In this case, the problem was whether determination of the loci was accurate enough, or whether another locus is involved in repressing of ovo reporter activity which Df(1)sd72b (13F114B1) may have a common region with.  This deficiency removes several lethal mutations, Myb, sd (scalloped), shi (shibiri), and exd (extradenticle).  Two genes previously cloned in the 13F cytological region are the Drosophila c-myb oncogene homolog (Katzen et al, 1985) and a G protein b-subunit (Yarfitz et al 1988).  It has been suggested that the sd+ gene might be associated with more than one product (perhaps a differential processing) or it might reflect differential tissue and/or temporal regulation (Campbell et al., 1991).

Region 14-20.   In this region eight deficiency strains, Df(1)4b18, Df(1)rD1, Df(1)B, Df(1)N19, Df(1)JA27, Df(1)HF396, DF(1)DCB1, and Df(1) A-209, were tested.  According to measured specific activities Df(1)4b18 (14B8; 14C1) and DF(1) B (15F9=16A6-7) showed significant activating effect on ovo promoter, activity of the former was weaker than that of latter.  Since there is no common region between these two putative trans-acting activators, interpretations of the results gave rise to two loci, 14B8-14C1 and 15F-16A1; 16A6-9. In addition, the Flybase report for Df(1) shows that 70 deletion that breaks within the second exon of the non A (no on or transient A) gene from Stanewsky et al (1993). As a result of X-chromosome screening, 45 deficiency strains were tested and found 17 regions were trans-regulating ovo promoter.  These regions were classified into 12 loci according to their overlapping common regions.  Among these, six, of which were showing trans-acting activator effect, and seven, of which were responsible for trans-acting repressor effect on ovo promoter.   Furthermore, one deficiency strain, Df(1)sc14, showed a significant trans-acting repressor effect in only ovo4B8 strain but not in ovo3U21 strain.  This maybe explained by position effect of P[ovo::LacZ] construct due to landing on P element transposase onto insertion site or by difference between the size of the ovo::LacZ constructs, e.g. ovo3U21 carries 200 bp longer than ovo4B8 at the N-terminal end that may cause a better translation product.  Consequently, among the X-chromosome screening data, it was found that two of the deficiency lines. Df(1)A113 and Df(1)JC70, which are removing ovo and snf along with the several genes due to deletions, and correspond to one loci acting as an repressor, were taking into more detailed investigations.  These results suggested a negative autoregulation mechanism in the ovo promoter.  Therefore, negative autoregulation of ovo was examined with three approaches: ovo point mutations, more defined deficiency strain, and downstream genes.

DISCUSSION

  The sex determination involves complex set of mechanisms.  The fly is chosen to be studied since Drosophila is inexpensive to rear, generates large numbers of progeny, and has nearly a century of accumulated data upon which to design experiments.  Mutational analysis of cell biological and developmental process is relatively simple, even if the resulting mutations are organism-lethal when homozygous.  This is decided advantage over mammalian genetics, in which lethal mutations often die in utero, which complicates the ability to examine and interpret mutant phenotypes. The Drosophila genome is one-twentieth the size of the mammalian genome, making insertional mutagenesis and positional cloning much less difficult.  Additionally, mammalian genetics lacks genetic tools such as balancers that make the maintenance of sterile and lethal-mutations nearly trouble free in Drosophila.  Nematodes have many of the same conveniences as Drosophila, with the added advantage of a highly stereotyped pattern of embryonic (and post-hatching) cell lineages.  The more-regulative character of Drosophila development induces complications lacking from worm genetics, with respect to cellular level analysis of mutant phenotypes.  Perhaps, the most compelling reason to take advantage of the specialized properties of Drosophila, is the extent to which prior studies have shown that genes, proteins, and developmental pathways and processes are conserved among metazoan groups.  We can, with high confidence, study sex determination in Drosophila with a reasonable confidence that what we learn can be extrapolated to other species, including man and his clinical diseases.

  The deletion mapping technique was used to identify the locations of genes that are required for ovo trans-regulation.  Each deficiency line removes several to many genes from the genome.  A sufficiently complete set of overlapping deletions can allow, potentially, every individual trans-acting gene to be localized. Seventeen deficiencies that have effects on the ovo germline promoters are shown in Table 4.1.  Twelve deficiencies showed repressor effects, and five deficiencies showed activator effects.  Deleted regions may affect any of several processes, such as numerator elements, cell viability and differentiation, dosage compensation, and response to inductive signals from soma.  Determination of which gene within a specific region is responsible for the effect on ovo requires more defined deletions or having null alleles for each gene. Estimation of the Number of Trans-Regulators.  Among the seventeen deficiencies in Table 4.1, overlapping common regions identify seven that function as trans-acting repressor loci, and five that function as trans-acting activator loci.  Thus, the entire euchromatic X-chromosome may have as many as ≈10 repressor genes and ≈7 activator genes for the ovo germline promoters.  If these results were extrapolated to the entire fly genome, ≈50 repressors and ≈35 activators of ovo transcription are predicted.  These are underestimates from the data, since any given deleted common region need not remove exactly one relevant gene. Is it reasonable for nearly 85 genes to be involved in regulating the ovo germline promoters?  Precedents from other developmental control systems suggest this is not an implausibly high number.

Regulation of the master sex determination gene Sxl is complex.  To establish somatic sex determination in the early embryo, nine genes are required to activate the Sxl early promoter.  These are sis-a, sis-b, sis-c, run, da, emc, gro, dpn, and her.  In biochemical terms, most are DNA-binding proteins.  In genetic terms, some are positive and are others are negative regulators.  Maintenance of Sxl expression involves positive autoregulation at the level of pre-mRNA alternative splicing.  At least five genes are known to play specific roles in this process: Sxl itself, snf, vir, her, and fl(2)d.  Function of Sxl in the germline is regulated in several ways.  Germline-specific transcriptional control of Sxl is still conjectural, but it is clear that the somatic functioning numerator elements play no role in the germline.  It is possible that ovo may play an important role in germline transcriptional control of Sxl (e.g., Lee. 1998); certainly it has an indirect role (e.g., Oliver et al., 1993).  Splicing-level autoregulation of Sxl is active in the female germline, and it involves the same genes that function in this process in somatic cells.  Once Sxl protein is produced in female germline cells, the otu protein plays an important role in this relocalization into the nucleus.  Thus, a minimum of sixteen genes is required for proper regulation of Sxl.

Establishment of the body plan in Drosophila is also under complex transcriptional control.  Maternally localized RNA and protein molecules establish the gross body axes: anterior-posterior and dorsal-ventral.  Hierarchically organized sets of zygotically activated genes are transcribed, and their protein products serve to refine the body axes into progressively finer-grained structures.  The metameric anterior-posterior body axis is specified by so-called gap genes, pair rule genes, and segment polarity genes, which create the segment-sized repeating units of the body.  Homeotic genes encoded by the Antennapedia Complex (ANT-C) and bithorax Complex (BX-C) then confer position-specific identities upon each segment. During the cellular blastoderm stage, gap genes and maternal coordinate genes regulated the activation of primary pair rule genes such as even-skipped (eve).  These are expressed in seven one-segment-wide stripes that alternate with on-segment-wide regions of non-expressing cells.  For example, the second stripe of eve expression is positively regulated by hunchback and bicoid, and negatively regulated by giant and Kruppel.  All four proteins directly bind to a 500-bp-long “eve-stripe 2 enhancer.”  Binding have giant and Kruppel is competitive with binding of hunchback  and bicoid, and vice versa.  Thus, spatially controlled concentrations of giant, Kruppel, bicoid, and hunchback proteins result in spatially restricted activation or repression of the eve stripe 2 enhancer.  The remaining six stripes of eve expression are similarly controlled by other DNA-binding proteins, which are acting another discrete stripe-specific enhancers. Ectopic expression of homeotic genes can have disastrous effects on development.  Thus, a special heterochromatin-like mechanism functions to ensure that ANT-C and BX-C genes are inactive in cells and tissues that do not require their expression.  Stable repression is mediated by the Polycomb class of proteins, which number over forty. Each of these examples illustrates that developmental control of individual gene transcription is mediated by both positive and negative effectors, and that sometimes the number of such upstream regulators numbers between one and several dozen.  Thus, our estimate of 85 regulators of the ovo germline promoters is not out of line with other developmentally regulated systems.

Evaluation of Candidate Loci Within Common Regions.   Based overlapping cytology, seventeen deficiencies that affected the ovo germline promoter fell into twelve common regions.  Each of these will be discussed in turn below. Of particular interest was the relationship each of our trans-acting may have with Su(ovoD) and E(ovoD) loci identified in a generic screen by Pauli et al. (1995).  In general, it is not straightforward to suggest identities between Su(ovoD) or E(ovoD) loci and our trans-acting repressor or activator loci because of the dissimilar means of assaying these gene-dose-sensitive interactions.  We use quantitative measures of LacZ reporter activity as a proxy for ovo transcription, while Pauli et al. (1995) use semi-quantitative measures of vitellogenesis.

Region 1 (polytene bands 1A1; 2A1-4):  The distal region of the X-chromosome showed a trans-regulating activator effect on the ovo promoters.  This region includes the acheate-scute complex (AS-C), home of the X-chromosome numerator element sis-b (Cline, 1988; Parkhurst and Ish-Horowicz, 1990), also known as scute-T4.  This numerator has no function in the female germline (Granadino et al., 1989).  Pauli et al., (1995), using other deficiency strains affecting this section of the X-chromosome, identified a strong Su(ovoD) locus in the polytene region 1E3-4; 2B3-4 that may correspond with our trans-activator.  Flybase indicates that this region contains over 100 genes, among them 23 unassigned open reading frames, 33 genes defined by apparent visible mutations, 53 lethal genes,, and two female sterile loci.

Region 2 (polytene bands 4C15-16; 4F15):  This region includes the ovo and snf loci, and was identified by Pauli et al., (1995) as a strong E(ovoD) due to the effects of these loci.  Further discussion is deferred to mechanism of ovo autoregulation, which deal with ovo negative regulation. Region 3 (polytene bands 5C3-5; 5E8):  This region has a trans-regulatory activation effect on the ovo germline promoters.  Deficiency for this region showed no interaction with ovoD in the vitellogenesis assay (Pauli et al., 1995).  Examination of Flybase records for this region reveals over twenty genes, and no strong candidates that may account for the interaction with the ovo promoters.

Region 4 (polytene bands 7D10; 8A4-5):  Results  showed that this region contains a transacting-repressor of ovo germline promoter activity.  This region reported by Pauli et al. (1995) to contain a strong E(ovoD) locus, which was identified as the ovarian tumor gene (Pauli et al., 1993, 1995).  It is virtually certain that the repressor-of-ovo is distinct from otu.  First, the otu protein is cytoplasmic and plays a role in egg chamber cytoskeletal function (Nagoshi et al., 1997).  Second, the ovo protein binds to the otu promoter in vitro (Garfinkel et al., 1997; Lee, 1998, Lee and Garfinkel 1998; Lu et al., 1998).  Third, under certain conditions, in vivo activity of the otu promoter is dependent upon ovo protein production (Hager and Cline, 1997; Lu et al., 1998).  Examination of Flybase reveals that this region contains fifty genes mutable to lethal, visible, or female-sterile phenotypes, but none appear to be a strong candidate for the repressor-of-ovo locus.

Region 5 (polytene bands 8B5-8; 8DE):  This region also has an apparent repressor of ovo germline promoter activity.  Deficiency for this region showed no interaction with ovoD mutations in the Pauli et al. (1995) vitellogenesis assay.  Examination of Flybase reveals that this region contains thirty genes mutable to lethal, visible, or female sterile phenotypes.  One gene stands out as a candidate for the repressor, namely, lozenge.  This is a complex locus that is mutable to female sterility (Green and Green, 1949, 1956), and it is named for a reduced-eye, smoothened-eye, mutant phenotypes.  Interestingly, certain ovo-mutant alleles are called “lozenge-like” in recognition of a similar eye defect (Oliver et al., 1987; Mevel-Ninio et al., 1989; Garfinkel et al., 1992).  The lz gene codes for a transcription factor (Dag et al., 1996). Region 6 (polytene bands 9C4; 9D1-2):  The cytological assignment of this region is based on the overlap of three deficiencies:  Df(1)N110, Df(1)H133, and Df(1)v L11.  Together, they mark a trans-acting repressor of ovo promoter activity.  According to  Pauli et al. (1995), only two of these three deficiencies behaved as if they exposed an E(ovoD) locus, while the third had no effect.  In combination with positive results from other deficiencies, Pauli et al. positioned the E(ovoD) locus at cytological region 9E-F.  Thus, it is again possible that the repressor-of-ovo we identified is distinct from a nearby E(ovoD) locus, and is among the half-dozen loci identified by Flybase as mapping into this interval.

Region 7 (polytene bands 10A6; 10F6-7):  This region contains a trans-acting repressor of ovo promoter activity.  According to Pauli et al. (1995), the defining deficiency had no significant interaction with ovoD alleles.  Examination of Flybase reveals that this region includes the somatic X-chromosome numerator element sis-a, which also has no function in germline development (Granadino et al., 1989, 1990, 1997).  Given the extent of this region, it is not  surprising that Flybase identifies 65 genes with diverse phenotypes and biochemical roles; however no strong candidate locus that may count for the repressor-of-ovo locus is apparent.

Region 8 (polytene bands11D1-2; 11F1-2):   This region contains perhaps the strongest trans-acting repressor of ovo promoter activity in the survey: deficiency heterozygous experimentals had 2-2.5 fold more lacZ specific activity in their ovaries that the balancer carrying controls.  According to Pauli et al (1995), one of the two deficiencies defining this common region showed a statistically weak enhancement of ovoDalleles, while the other had a significant Su(ovoD) phenotype.  Likewise, Belote et al. (1985) and Scott and Baker (1986) reported that the same deficiency later shown to have Su(ovoD) activity also interacted with loci in the somatic sex determination pathway.  It is an open question how these three results relate to one another.  Among sixteen genes that map into this region are two signal transduction loci: the Mek3 gene, a serine-threonine-specific protein kinase in the MAP kinase pathway, and a beta subunit of the heterotrimeric GTP-binding protein. A solitary female-sterile, fs(1) K4, also maps roughly into this region; it is germline-dependent, and yields fragile eggs, a phenotype occasionally seen in the eggs laid by ovoD3/+ females.

Region 9 (polytene bands 12D2-12E1; 12E8):  This region contains a trans-acting repressor of ovo promoter activity.  According to Pauli et al. (1995), neither deficiency defining this common region interacted with ovoDalleles.  This region contains the yolkless gene (DiMario et al., 1987), which has been cloned and codes for a member of 35 known genes, including a cluster of tRNA genes, the male-germline-specific Stellate genes, and several lethal and female-sterile genes.

Region 10 (polytene bands 13F1; 14B1):  This region contains a trans-acting repressor of ovo promoter activity.  Again, no significant interaction with ovoD allel4es was observed by Pauli et al. (1995).  Podry, Katzen and others have extensively mutagenized this region due to its containing shibiri (the Drosophila homolog of dynamin), c-myb, another Gb subunit, and the homeodomain protein extradenticle.  Their work revealed a total of twenty lethal genes, ten apparent visibles, and over a half-dozen unassigned open reading frames.

Region 11 (polytene bands 14B8; 14C1):  This region contains a trans-acting activator of ovo promoter activity.  According to Pauli et al., (1995), the defining deficiency had no significant interaction with ovoD alleles.  This region is surprisingly dense genetically, as it apparently contains over forty genes.  Several behavioral genes coding for neuronal functions map here, including nonA, paralytic, and easily shocked.  The nonA gene codes for an RNA-binding protein, and is mutable to a variety of phenotypes including recessive lethality, male-courtship-strong abnormalities, and defective vision.  The location of para (a sodium channel) is particularly intriguing since parats mutations fail to complement certain napts alleles, and nap genetically overlaps the dosage compensation function maleless.  Mutations in maleless are unique among the known dosage compensation loci in having a mutant phenotype in germline clones, and they are said to suppress the female-germline-lethality of ovo null mutations.  The easily shocked locus codes for ethanolmine kinase, and mutations at this locus also interact with mle.

Region 12 (polytene bands 15F9-16A1; 16A7):  This region contains a trans-acting activator of ovo promoter activity.  According to Pauli et al. (1995), the defining deficiency had no significant interaction with ovoDalleles.  Examination of Flybase reveals that this region contains at least a dozen female-sterile loci, a dozen lethal loci (including the Bar homeodomain protein gene). There is an ambiguity in compared mean of activities.  According to the negative autoregulation mechanism, there suppose to be a linear decrease pattern correlated to increase in copy of ovo.  However, the pattern of the gene dose was reaching plato, when three copies of ovo were present in the genome. Yet, this also shows that there is a protection mechanism that counts the number of ovo versus number of X chromosome exists.  Therefore, the sex determination mechanism turns off the extra ovo in the system immediately. 

Consequently, the system prohibits more wrong information to be processed according to its default setting where if the X:A ratio equals to one the outcome is going to be prepared as female, if not turn off the mechanism towards male-like, sterile mode, or death at the embryonic stage.  This discontinuity in the linear correlation may be due to position effect of P[w+ ovo+].  Future Directions and Concluding Remarks The results of this study suggest that the ovo germline promoters are regulated by a large set of upstream factors.  Nearly a dozen of these maps to the X-chromosome, some to region that are well characterized genetically.  Further deficiency mapping experiments, and assessment of the phenotypes of single-P insertion lines with female-sterile or perhaps lethal phenotypes, would be required to identify the relevant genes.  Some regions contain candidate loci that have been cloned (e.g. lozenge); in this example, either in vitro DNA-binding experiments using Lz protein and the ovo promoter region, or computational assessment of the likelihood that the ovo promoter contains binding sites for Lz can be done. Another potential upstream factor not assessed in these experiments is the ecdysone regulatory hierarchy.  The steroid ecdysone is the endocrine hormone that controls molting and metamorphosis in arthropods.  It is an allosteric effector for a heterodimeric receptor of the steroid-receptor superfamily.  The ovaries of adult females manufacture their own ecdysone, and the gene for the rate-limiting steroidogenic enzyme transcribed beginning in Stage 7-8 egg chambers.  This stage immediately precedes the onset of the highest level of ovo transcription (Mevel-Ninio et al., 1991; Garfinkel et al., 1994).  Mutations in the E74 and E75 genes, when made homozygous in germline clones, cause arrest of oogenesis at Stage 7-8, as if egg chambers are unable to respond to endogenous ecdysone and continue differentiation.  Both E74 and E75 code for transcription factors that are induced as immediate-early primary responses to added ecdysone both in-vivo and in tissue culture assays.  Thus, it is reasonable to suggest that one or both of these proteins will bind to the ovo germline promoter in an in vivo effect on expression of the ovo::lacZ reporter using the methods established in this dissertation.  

Acknowledgement:  This work had been comppleted in the laboratory of Dr. Mark Garfinkel at Illinois Institute of Technology.   Dr. Demet Sag initiated the project with her own  ideas, was fully supported by Turkish National Merit Fellowship, and  earned NATO Advanced Science institute  Grant on Genome Structure and Functional Genomics, Elba Island, Italy, accepted to work with Dr. Mevel Ninio, based on the proposal submitted by Demet Sag on Molecular Mechanism of  ovo, through EMBO long term scholarship in France.

BIBLIOGRAPHY
  1. Ashburner, M., Drosophila Laboratory Manual, Cold Spring Harbor Laboratory Press, pp. 317-318, 1989
  2. Baker, B.S., “Sex in flies: the splice of life,” Nature 340, pp.521-524, 1989.
  3.  Baker, B.S. and Belote, J.M., “Sex determination an dosage compensation in Drosophila melanogaster” Ann. Rev of Genetics 17, pp345-393, 1983.
  4. Baker B.S. and Ridge, K.A., “Sex and the single cell I. On the action of major loci affecting sex determination in Drosophila melanogaster,” Genetics 94, pp.383-423, 1980.
  5.  Bell, L.R. Horabin, J.I., Schedl, P., and Cline, T.W., “Sex-lethal, a Drosophila sex determination switch gene, exhibits sex specific RNA spilicing and sequence similarity to RNA binding proteins,” Cell 55, pp.1037-1046, 1988.
  6. Bell, L.R. Horabin, J.I., Schedl, P., and Cline, T.W., Positive autoregulation of Sex-lethal by alternative spilicing maintains the female determined state in Drosophila, Cell Vol 65, pp.229-239, 1991.
  7.  Belote, J.M., Handler, A.M., Wolfner, M.F., Livak, K.J., and Baker, B.S., Sex-specific regulation of yolk protein expression in Drosophila, Cell 40, pp.339-348, 1985.
  8.  Bohringer- Manheim Product Support, Chloroform Red-beta-D_Galactopyranoside sodium salt (CPRG) provided by ID#0223p, June 1986 dated information, fax received on 2/26/1996.
  9.  Bopp, D., Bell, L.R., Cline, T.W., Schedl, P. Developmental distribution of female specific Sex-Lethal proteins in Drosophila melanogaster, Genes and Development 5, pp.403-415,, 1991.
  10.  Bopp, D., Sex-specific control of Sex-lethal is a conserved mechanism for sex determination in the genus Drosophila, Development 122, pp.971-982, 1996.
  11.  Bopp, D., Horabin, J.I., Lersch, R.A., Cline, T.W., Schedl, P., Expression of the Sex-lethal gene is controlled at multiple levels during Drosophila oogenesis, Development 118, pp.797-812, 1993.
  12.  Bradford, M. M., A Rapid and sensitive method for the Qantitation of Microgram Quantities of Protein Utilizing the Principle of Protein-Dye Binding, Analytical Biochemistry 72, pp.248-254, 1976.
  13.  Bridges, C.B., Sex in relation to chromosomes, Am. Nat.59, pp.127-137, 1925.
  14.  Bridges, C.B., Triploid intersexes in Drosophila melanogaster, Science 54, pp.252-254, 1921.
  15.  Bridges, C.B., Non-disjunction as proof of the chromosome theory of heredity, Genetics 1, pp.1-52, 1916.
  16.  Burtis, K.C. and Baker, B.S., Drosophila doublesex gene controls somatic sexual differentiation by producing alternatively spliced mRNAs encoded related sex-specific yolk protein gene enhancer, The EMBO J., Vol. 10, No. 9, pp.2557-2582, 1991.
  17.  Busson, D., Gans, M., Komitopoulou, and Masson, M., Genetic Analysis of three dominant female-sterile mutations located on the X-chromosome of Drosophila melanogaster, Genetics 105, pp.309-325, 1983.
  18.  Campbell, S.D., Duttoroy, A., Katzen, A.L., and Chovnick, A., Cloning and characterization of the scalloped region of Drosophila melanogaster, Genetics 127, pp.367-380, 1991.
  19.  Cline, T.W., The Drosophila sex determination signals: how do flies count two?, Ann. Rev. Genet 30, pp637-702, 1996.
  20.  Cline, T.W., Evidence that sisterless-a and sisterless-b are two of several discrete numerator elements of the X/A ratio sex-determination signal in Drosophila that switch Sxl between two alternative stable expression states, Genetics 119, pp.829-862, 1988.
  21.  Cline, T.W., Re-evaluation of the functional relationship in Drosophila between a small region on the X-chromosome (3E8-4F11) and the sex determination gene, Sex-lethal, Genetics 116, s:12, 1987.
  22.  Cline, T.W., A female specific lethal lesion in an X-linked positive regulator of the Drosophila sex determination gene, Sex-lethal, Genetics 113, pp.641-663, 1986.
  23.  Cline, T.W., Autoregulatory functioning of a Drosophila gene product that establishes and maintains the sexuality determined state, Genetics 107, pp.231-277, 1984.
  24.  Cline, T.W., Functioning of the gene daughterless and Sex-lethal in Drosophila germ cells, Genetics 107, s16-17, 1983.
  25.  Cline, T.W., A sex specific temperature-sensitive maternal effect of the daughterless mutation of Drosophila melanogaster, Genetics 84, pp.723-742, 1976.
  26.  Cronmiller, C., Schedl, P., Cline, T.W., Molecular characterization of daughterless, a Drosophila sex determination gene with multiple roles in development, Genes Dev. 2: 155-167, 1988.
  27.  Despande, G., Samuels., M.E., and Schedl, P.D. “Sex-lethal interacts with splicing in vitro and in vivo, Molecular and Cellular Biology, Vol. 16, No 8, pp. 5036-5047, 1996.
  28.  Despande, Stukey, J., and Schedl, P., scute (sis-b) function in Drosophila sex determination, Moll. Cell Biology 15, pp. 4430-4440, 1995.
  29.  DiMario, P.J., and Mahowald, A.P., Female sterile (1) yolkless: A recessive female sterile mutation in Drosophila melanogaster with depressed numbers of coated pits and coated vesicles within the developing oocytes, J. Cell Biology 105: 199-206, 1987.
  30.  Erickson, J.W. and Cline, T.W., A bZIP protein, sisterless-a, collaborates with bHLH transcription factors early in Drosophila development to determine sex, Genes and Dev. 7: 1688-1702, 1993.
  31.  Erickson, J.W. and Cline, T.W., Molecular nature of the Drosophila sex determination signal and its link to neuorogenesis, Science 251, pp. 1071-1074, 1991.
  32.  Estes, P.A., Keyes, L.N., and Schedl, P., Multiple response elements in the sex-lethal early promoter ensure its female-specific expression pattern, Mol Cell Biol 15, pp. 904-917, 1995.
  33.  Flickinger, T.W. and Salz, H.K., The Drosophila sex determination gene snf encodes a nuclear protein with sequence and functional similarity to the mammalian U1A snRNP, Gene and Development 8, pp. 914-925, 1994.
  34.  Flybase, The Drosophila genetic database, http://www.flybase.bio.indiana.edu, 1998.
  35.  Gans, M.C., Audit and Massson, M., Isolation and characterization of sex-linked female-sterile mutations in Drosophila melanogaster, Genetics 81, pp. 683-704, 1975.
  36.  Garfinkel, M.D., Lee, S., and Sigar, I., DNA-binding targets of the Drosophila melanogaster OVO protein, 38th Annual Drosophila Research Conference, Chicago, IL, 1997.
  37.  Garfinkel, M.D., Wang, J., Liang, Y., and Mahowald, A. P., Multiple products from the shavenbaby-ovo gene region of Drosophila melanogaster: relationship to genetic complexity, Molecular and Cell Biology, Vol. 14, No., 10, pp. 6809-6818, 1994.
  38.  Garfinkel, M.D., Lohe, A.H., and Mahowald, A.P., Molecular genetics of the Drosophila melanogaster ovo locus, a gene required for sex determination of germline cells, Genetics 130, pp. 791-803, 1992.
  39.  Gollin, S. M. and King, R. C., Studies on fs(1)1621, a mutation producing ovarian tumors in Drosophila melanogaster, Developmental Genetics 2, pp. 203-218, 1981.
  40.  Granadino, B., Compuzano, S., and Sanchez, L., The Drosophila melanogaster fl(2)d, a gene needed for Sex-lethal expression in Drosophila melanogaster, Genetics 130, pp. 597-612, 1990.
  41.  Granadino, B., Santamaria, P., and Sanchez, L., Sex-determination in the germ line of Drosophila melanogaster: activation of the gene Sex-lethal, Development 118, pp. 813-816, 1993.
  42.  Granadino, B., Juan, A. B. S. B, Santamaria, P., Sanchez, L., Distinct mechanisms of splicing regulation in vivo by the Drosoophila protein Sex-lethal, PNAS USA, 94, pp. 7343-7348, 1997.
  43.  Hager, J.H. and Cline, T.W., Induction of female Sex-lethal RNA splicing in male germ cells: implications for Drosophila germline sex-determination, Development 124, pp. 5033-5048, 1997.
  44.  Hilfiker, A., Amrein, H., H., Dobendorfer, A., Schneiter, R, and Nuthiger, R., The gene virilizer is required for female-specific splicing controlled by Sxl, master gene for development in Drosophila, Development 121, pp. 4017-4026, 1995.
  45.  Horabin, J.I., Bopp, D., Waterburry, J., and Schedl, P., Selection and maintenance of sexual identity in the Drosophila melanogaster, Genetics 141, pp. 1521-1565, 1995.
  46.  Horabin, J. I. And Schedl, P., Regulated spilicing of the Drosophila Sex-lethal male exon involves a blockage mechanism, Moll. Cell. Biol. 13, pp. 1408-1414, 1993.
  47.  Horabin, J.L., and Schedl, P., Sex-lethal autoregulation requires multiple cis-acting elements upstream and downstream of the male exon and appears to depend largely on controlling the use of the male exon 5’ splice site, Moll. Cell. Biol. 13: pp. 7734-7746, 1993.
  48.  Hoshijima, K., Kohyama, A., Watakabe, I., Inonue, K., Sakamato, H., and Shimura, Y., Transcriptiuonal regulation of the Sex-lethal gene by helix-loop-helix proteins, Nucleic Acids Res. 23, pp. 3441-3448, 1995.
  49.  Inonue, K., Hojhijima, K., Sakamato,, H., and Shimura, Y., Binding of the Drosophila Sex-lethal gene product to the alternative splice site of transformer primary transcript, Nature 344, pp. 461-463, 1990.
  50.  Keyes, L.N., Cline, T.W., and Schedl, P., The primary sex-determination signal of Drosophila acts at the level of transcription, Cell, Vol. 68, pp. 933-943, 1992.
  51.  Komitopoulou, K., Gans, M., Margaritis, L.H., Kafatos, F.C., and Masson, M., Isolation and characterization of sex-linked female-sterile mutants in Drosophila melanogaster with special attention to eggshell mutants, Genetics 105: 897-921, 1983.
  52.  Lee, S., DNA binding targets of the Drosophila melanogaster OVO protein, PhD Dissertation, Illinois Institute of Technology, Chicago, IL, USA, 1998.
  53.  Lee, S. and Garfinkel, M.D., DNA-binding targets of the Drosophila melanogaster OVO protein, Nucleic Acid. Res.
  54.  Linsley, D.L., and Zimm, G., The genome of the Drosophila melanogaster, Academic Press, San Diego, New York, 1980.
  55.  Lu, J., Andrews, J., Pauli, D., and Oliver, B., Drosophila OVO zinc finger protein regulates ovo and ovarian tumor target promoters, Dev. Genes. Evol., pp. 1-10, 1998.
  56.  Luccesi, J.C. and Manning, E., Gene dosage compaensation in Drosophila melanogaster, Adv. Genetics 24, pp. 371-429, 1987.
  57.  Madl, J.E., and Herman, R.K., Polyploids and sex determination in Caenornabtidis elegans, Genetics 93, pp. 393-402, 1979.
  58.  Mevel-Ninio, M., Mariol, M.C. and Gans, M., Mobilization of the gypsy and copia retrotransposans in Drosophila melanogaster induces reversion of the ovoD dominant female-sterile-mutations: molecular analysis of revertant alleles, EMBO J. 8, pp. 1549-1558, 1989.
  59.  Mevel-Ninio, M., Terracol, R., and Kafatos, F.C., The ovo gene of Drosophila encodes a zinc finger protein required for female germ line development, EMBO J. 10, pp.2259-2266, 1991.
  60.  Mevel-Ninio, M., Guenal, I., and Limburg-Bouchen, B., Production of dominant female sterility in Drosophila melanogaster by insertion of the ovoD1 allele autosomes: use of transformed starins to generate germline mosaic, Mechanism of development 45, pp. 155-162, 1994.
  61.  Mevel-Ninio, M., Terracol, R., Salles, C., Vincent, A., and Payre, F., ovo, a Drosophila gene required for ovarian development, is specially expressed in the germline and shares most of its coding sequences with shavenbaby, a gene involved in embryo patterning, Mecahnism of Development 49, pp. 83-95, 1995.
  62.  Mevel-Ninio, M., Fouilloux, E., Genal, I.  and Vincent, A., The three point dominant female-staerile mutations of Drosophila ovo gene are point mutations that create new translation-initiatorAUG codons, Development 122, pp. 4131-4138, 1996.
  63.  Mohler, J.D., Developmental genetics of the Drosophila egg. I.: Identification of 50 sex-linked cistrons with maternal effects on embryonic development, genetics 85, pp. 259-272, 1977.
  64.  Nagai, K., Oubridge, C., Jessen, T. H., Li, J., and Evans, P.R., Crystal structure of the RNA-binding domain of the U1 small nuclear ribonucleoprotein A, Nature 348, pp. 515-520, 1990.
  65.  Nagoshi, R.N., McKeown, M., Burtis, K.C., Belote, J.M., and Baker, B., The control of alternative spilicing at genes regulating differentiation in D. melanogaster, Cell, Vol. 53, pp.229-236, 1988.
  66.  Nagoshi, R.N., and Baker, B., Regulation of sex-specific RNA splicing at the Drosophila doublesex gene: cis-acting mutations in exon sequences alter sex specific RNA splicing patterns, Genes and Development 4, pp. 89-97, 1990.
  67.  Nagoshi, R.N., Patton, J.S., Bae, E., and Geyer, P., The somatic sex determines the requirement for ovarian tumor gene activity in the proliferation of the Drosophila germline, development 121, pp.579-587, 1995.
  68.  Nothiger, R., and Steinmann-Zwicky, M., Meier-Gerschwiller, P., and Weber, T., Sex determination in the germline of Drosophila depends on genetic signals and inductive somatic factors, development 107, pp.505-518, 1989.
  69.  Oliver, B., Singer, J., Laget, V., Pennetta, G. and Pauli, D., Function of Drosophila melanogaster ovo– in germ line sex determination depend on X-Chromosome number, Development 120, pp.1-11, 1994.
  70.  Oliver, B., Kim, Y. and Baker, B., Sex-lethal, master and slave: a hierarchy of germ line sex determination in Drosophila, Development 119, pp. 897-908, 1993.
  71.  Oliver, B., Pauli, D., and Mahowald, A.P., Genetic evidence that the ovo locus is involved in Drosophila germ line sex determination, Genetics 125, pp. 535-550, 1990.
  72.  Oliver, B., Perrimon, N, an Mahowald, A.P., The ovo locus is required for sex-specific germ line maintenance in Drosophila, Genes and Development 1, pp. 913-923, 1987.
  73.   Oubridge, C., Ito, N., Evans, P.R., Teo, C.H., and Nagai, K., Crystal structure at the 1.92A resolution of the RNA binding domain of the U1A splicesomal protein completed with an RNA hairpin, Nature 372, pp.432-438, 1994.
  74.  Pauli, D., Oliver, B., and Mahowald, A.P., Identifications of regions interacting with ovo D mutations: potential new genes involved in germline sex determination in Drosophila melanogaster, Genetics 139, pp.713-732, 1995.
  75.  Pauli, D., Oliver, B., and Mahowal, A.P., The role of the ovarian tumor locus in Drosophila melanogaster germ line sex determination, Development 119, pp.123-134, 1993.
  76.  Pauli, D. and Mahowald, A.P., Germline sex determination in Drosophila melanogaster, Trends in Genetics, Vol. 6, No. 8, pp.259-264, 1990.
  77.  Parkhurst, S.M., Bopp, D., and Ish-Horowicz,  X:A ratio, the primary sex determining signal in Drosophila, is transduced by helix-loop-helix proteins, Cell, Vol. 63, pp.1179-1191, 1990.
  78.  Perrimon, N., Mohler, D., Engsttrom, L., and Mahowald, A.P., X-linked female-sterile loci in Drosophila melanogaster, Genetics 113, pp.695-712, 1986.
  79.  Perrimon, N., Engstrom, L., and Mahowald, A.P., The effects of zygotic lethal mutations on female-germ-line functions in Drosophila, Developmental Biology 105, pp. 404-414, 1984.
  80.  Perrimon, N., Clonal analysis of dominant female-sterile, germline-dependent mutations in Drosophila melanogaster, Genetics 108, pp.927-939, 1984.
  81.  Perrimon, N. and Gans, M., Clonalo analysis of the tissue specificity of recessive female-sterile mutations of Drosophila melanogaster using a dominant female sterile mutation Fs(1)K1237, Developmental Biology 100, pp. 365-373, 1983.
  82.  Rodesch, C., Geyer, P.K., Patton, J.S., Bae, E., and Nagoshi, R.N., Developmental analysis of the ovarian tumor gene during Drosophila oogenesis, Genetics 141, pp.191-202, 1995.
  83.  Sag-Ozkol, D., Tekin, S., Garfinkel, M.D., Gene-dose sensitive trans-acting regulators of the Drosophila melanogaster germline promoter, 38th Annual Drosophila Research Conference, Chicago, IL, USA, 1997.
  84.  Sag-Ozkol, D., and Garfinkel, M.D., Negative autoregulation of Drosophila melanogaster female germline specific gene, ovo (in preparation).
  85.  Sag-Ozkol, D., and Garfinkel, M.D., X-chromosome screening of Drosophila melanogaster to find numerator elements of germline sex determination (in preparation).
  86.  Salz, H.K. and Flickinger, T.W., Both loss of function and gain-of-function mutations in snf define a role for snRNP proteins in regulating Sex-lethal pre-mRNA splicing in Drosophila development, Genetics 144, pp.95-108, 1996.
  87.  Salz, H.K., Maine, E.M., Keyes, L.N., Samuels, M.E., Cline, T.W., and Schedl, P., The Drosophila female-specific sex-determination gene, Sex-lethal has stage-, tissue-, and sex-specific RNAs suggesting multiple models of regulation, Genes and Development 3, pp.708-709, 1989.
  88.  Salz, H.K., Cline, T.W., and Schedl, P., Functional changes associated with structural alterations induced by mobilization of a p element inserted in the Sex-lethal gene of Drosophila, Genetics 117, pp.221-231, 1987.
  89.  Sanchez, L., Granadino, B., and Torres, M., Sex determination in Drosophila melanogaster, X-linked genes involved in the initial step of Sex-lethal activation, Developmental Genetics 15: 251-264, 1994.
  90.  Sass, G., Mohler, J.D., Walsh, R.C., Kalfayan, L.J. and Searles, L.L., Structure an the expression of hybrid dysgenesis-induced alleles of the ovarian-tumor (otu) gene in Drosophila melanogaster, Genetics 133, pp.253-263, 1993.
  91.  Sass, G., Comer, A.R. and Searles, L.L., The ovarian tumor protein isoforms of Drosophila melanogaster exhibit differences in function, expression, and localization, developmental Biology 167, pp.201-212, 1995.
  92.  Schedl, A, Ross, A., Lee, M., Engelkamp, D., Rashbass, van Heyningen, V., and Hastie, N., Influence of PAX6 gene dosage on development: over-expression causes sever eye abnormalities, Cell 86, pp.71-82, 1992.
  93.  Schupbach, T., and Wieschhaus, E., Female sterile mutations on the second chromosome of Drosophila melanogaster II mutations blocking oogenesis an altering egg morphology, Genetics 129, pp.1119-1136, 1991.
  94.  Shupbach, T., an Wieschaus, E., Female sterile mutations on the second chromosome of Drosophila melanogaster I. Maternal effect mutations, Genetics 121, pp.101-17, 1989.
  95.  Schupbach, T., Normal female germ cell differentiation requires the female X-chromosome to autosome ratio and expression of Sex-lethal in Drosophila melanogaster, Genetics 109, pp.529-548, 1985.
  96.  Simon, J.A. and Lis, J.T., A germline transformation analysis reveals flexibility in the organization of the heat-shock consensus elements, Nucleic Acids Research, Vol 15, No.7, 1987.
  97.  Staab, H., Heller, A., Steinmann-Zwicky, M., Somatic sex determining signals act on XX germ cells in Drosophila embryos, Development 122, pp.4065-4071, 1996.
  98.  Staab, H., and Steinmann-Zwicky, M., Female germ cells of Drosophila require zygotic ovo and out product for survival in larvae and pupae, Mech. Dev. 54, pp.205-210, 1995.
  99.  Stanewsky, R., Rendahl, K.G., Dill, M., and Saumweber, H., Genetic and molecular analysis of the X-chromosomal region 14B17-14C4 in Drosophila melanogaster: Loss of function in NONA, a nuclear protein common to many cell types, results in specific physiological and behavioral defects, Genetics 135, pp.419-442, 1993.
  100.   Steinman-Zwicky, M., Sex determination of the Drosophila germ line: tra and dsx control somatic inductive signals, Development 120, pp. 707-716, 1994.
  101.  Steinman-Zwicky, M., Sxl in the germline of Drosophila: A target for somatic late induction, Developmental Genetics 15, pp.265-274, 1994.
  102.  Steinman-Zwicky, M., Sex determination in Drosophila: sis-b, a major numerator element of the X:A ratio in the soma, does not contribute to the X:A ratio in germ line, Development 117, pp. 763-767, 1993.
  103.  Steinman-Zwicky, M., How do the germ cells choose their sex? Drosophila as a paradigm, Bioassays 14 (8), pp.513-518, 1992.
  104.  Steinman-Zwicky, M.,  Anrein, H. and Nothiger, R., Genetic control of sex determination in Drosophila, Advanced Genetics 27, pp.189-237, 1990.
  105.  Steinman-Zwicky, M.,  Schmid, H. and Nothiger, R., Cell-autonomous an inductive signals can determine the sex of the germ line of Drosophila by regulating the gene Sxl, Cell, Vol. 57, pp.157-166, 1989.
  106.  Steinman-Zwicky, M., Sex determination in Drosophila. The X-chromosomal gene liz is required for Sxl activity, The EMBO Journal 7, pp.3889-3898, 1988.
  107.  Steinman-Zwicky, M. and Nothiger, R., The small region on the X chromosome of Drosophila regulates a key gene that controls sex determination and dosage compensation, Cell, Vol. 42, pp.877-887, 1985.
  108.   Sosnowski, B. A., Belote, J. M. and McKeown, M., Sex specific alternative spilicing of RNA gene results from sequence-dependent splice site blockage, Cell, Vol. 3, pp.449-459, 1989.
  109.   Yarfitz, S., Provost, N. M., and Hurley, J. B., Cloning of Drosophila melanogaster guanine nucleotide regulatory protein subunit gene and characterization of its expression during development, PNAS USA 85, pp.7134-7138, 1988.
  110. Wieschaus, E., Audit, C., and Masson, M., A clonal analysis of the rules of somatic cells and germline during oogenesis in Drosophila, Developmental Biology 88, pp.92-103, 1981.
  111.  Wieschaus, E., Nusslein-Volhard, C., an Jurgen, G., Mutations affecting the pattern of the larval cuticle in Drosophila melanogaster. Part III. Zygotic loci on the X-chromosome and fourth chromosome, Roux. Arch. Dev. Biol., 193, pp.296-307, 1984.

FIGURES and TABLES:

Figure 1: Sex determination of D. melanogaster (1998)

Figure 2: Somatic-Germline Interactions. (1998)

Figure 3: Molecular Structure of the ovo locus

Figure 4: In vivo Biochemical_genetic Assay for Regulators

Figure 5: ovo-LacZ Reporter Construction. (1998)

Figure 6 : Establishing Stocks From Duplication Carrying Lines.

Figure 7: Control Assay for b-galactosidase Assay. (1998).

Table 1: List of Stocks for X-chromosome Screening (1998)

Table 2: Stocks Made in This Study for X-Chromosome Screening

Table 3: LacZ Specific Activities Obtained by Screening X-Chromosome with ovo3U21

Table 4: LacZ Specific Activities Obtained by Screening X-Chromosome with ovo4B8 (Results)

Table 5: Deficiency Lines Affecting the ovo Gene Activity (X-chromosome screening result)

 

Previously Posted:  

ovo Female Germline Specific Drosophila melanogaster Gene has two auto-regulation mechanism: negative and positive

Blavatar

 

 

Read Full Post »

Reporter: Aviva Lev-Ari, PhD, RN

 

Nature Genetics (2013) doi:10.1038/ng.2705

Independent specialization of the human and mouse X chromosomes for the male germ line

  1. Whitehead Institute, Cambridge, Massachusetts, USA.

    • Jacob L Mueller,
    • Helen Skaletsky,
    • Laura G Brown,
    • Sara Zaghlul &
    • David C Page
  2. Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

    • Helen Skaletsky,
    • Laura G Brown &
    • David C Page
  3. The Genome Institute, Washington University School of Medicine, St. Louis, Missouri, USA.

    • Susan Rock,
    • Tina Graves,
    • Wesley C Warren &
    • Richard K Wilson
  4. The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.

    • Katherine Auger
  5. Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

    • David C Page

Contributions

J.L.M., H.S., W.C.W., R.K.W. and D.C.P. planned the project. J.L.M. and L.G.B. performed BAC mapping. J.L.M. performed RNA deep sequencing. T.G., S.R., K.A. and S.Z. were responsible for finished BAC sequencing. J.L.M. and H.S. performed sequence analyses. J.L.M. and D.C.P. wrote the manuscript.

Competing financial interests

The authors declare no competing financial interests.

Corresponding author

Correspondence to:

Nature Genetics (2013) doi:10.1038/ng.2705

Received

 11 February 2013 Accepted

20 June 2013 Published online

21 July 2013

We compared the human and mouse X chromosomes to systematically test Ohno’s law, which states that the gene content of X chromosomes is conserved across placental mammals1. First, we improved the accuracy of the human X-chromosome reference sequence through single-haplotype sequencing of ampliconic regions. The new sequence closed gaps in the reference sequence, corrected previously misassembled regions and identified new palindromic amplicons. Our subsequent analysis led us to conclude that the evolution of human and mouse X chromosomes was bimodal. In accord with Ohno’s law, 94–95% of X-linked single-copy genes are shared by humans and mice; most are expressed in both sexes. Notably, most X-ampliconic genes are exceptions to Ohno’s law: only 31% of human and 22% of mouse X-ampliconic genes had orthologs in the other species. X-ampliconic genes are expressed predominantly in testicular germ cells, and many were independently acquired since divergence from the common ancestor of humans and mice, specializing portions of their X chromosomes for sperm production.

Refined X Chromosome Assembly Hints at Possible Role in Sperm Production

July 22, 2013

NEW YORK (GenomeWeb News) – A US and UK team that delved into previously untapped stretches of sequence on the mammalian X chromosome has uncovered clues that sequences on the female sex chromosome may play a previously unappreciated role in sperm production.

The work, published online yesterday in Nature Genetics, also indicated such portions of the X chromosome may be prone to genetic changes that are more rapid than those described over other, better-characterized X chromosome sequences.

“We view this as the double life of the X chromosome,” senior author David Page, director of the Whitehead Institute, said in a statement.

“[T]he story of the X has been the story of X-linked recessive diseases, such as color blindness, hemophilia, and Duchenne’s muscular dystrophy,” he said. “But there’s another side to the X, a side that is rapidly evolving and seems to be attuned to the reproductive needs of males.”

As part of a mouse and human X chromosome comparison intended to assess the sex chromosome’s similarities across placental mammals, Page and his colleagues used a technique called single-haplotype iterative mapping and sequencing, or SHIMS, to scrutinize human X chromosome sequence and structure in more detail than was available previously.

With the refined human X chromosome assembly and existing mouse data, the team did see cross-mammal conservation for many X-linked genes, particularly those present in single copies. But that was not the case for a few hundred species-specific genes, many of which fell in segmentally duplicated, or “ampliconic,” parts of the X chromosome. Moreover, those genes were prone to expression by germ cells in male testes tissue, pointing to a potential role in sperm production-related processes.

“X-ampliconic genes are expressed predominantly in testicular germ cells,” the study authors noted, “and many were independently acquired since divergence from the common ancestor of humans and mice, specializing portions of their X chromosomes for sperm production.”

The work was part of a larger effort to look at a theory known as Ohno’s law, which predicts extensive X-linked gene similarities from one placental mammal to the next, Page and company turned to the same SHIMS method they used to get a more comprehensive view of the Y chromosome for previous studies.

Using that sequencing method, the group resequenced portions of the human X chromosome, originally assembled from a mishmash of sequence from the 16 or more individuals whose DNA was used to sequence the human X chromosome reference.

Their goal: to track down sections of segmental duplication, called ampliconic regions, that may have been missed or assembled incorrectly in the mosaic human X chromosome sequence.

“Ampliconic regions assembled from multiple haplotypes may have expansions, contractions, or inversions that do not accurately reflect the structure of any extant haplotype,” the study’s authors explained.

“To thoroughly test Ohno’s law,” they wrote, “we constructed a more accurate assembly of the human X chromosome’s ampliconic regions to compare the gene contents of the human and mouse X chromosomes.”

The team focused their attention on 29 predicted ampliconic regions of the human X chromosome, using SHIMS to generate millions of bases of non-overlapping X chromosome sequence.

With that sequence in hand, they went on to refine the human X chromosome assembly before comparing it with the reference sequence for the mouse X chromosome, which already represented just one mouse haplotype.

The analysis indicated that 144 of the genes on the human X chromosome don’t have orthologs in mice, while 197 X-linked mouse genes lack human orthologs.

A minority of those species-specific genes arose as the result of gene duplication or gene loss events since the human and mouse lineages split from one around 80 million years ago, researchers determined. But most appear to have resulted from retrotransposition or transposition events involving sequences from autosomal chromosomes.

And when the team used RNA sequencing and existing gene expression data to look at which mouse and human tissues flip on particular genes, it found that many of the species-specific genes on the X chromosome showed preferential expression in testicular cells known for their role in sperm production.

Based on such findings, the study’s authors concluded that “the gene repertoires of the human and mouse X chromosomes are products of two complementary evolutionary processes: conservation of single-copy genes that serve in functions shared by the sexes and ongoing gene acquisition, usually involving the formation of amplicons, which leads to the differentiation and specialization of X chromosomes for functions in male gametogenesis.”

The group plans to incorporate results of its SHIMS-based assembly into the X chromosome portion of the human reference genome.

“This is a collection of genes that has largely eluded medical geneticists,” the study’s first author Jacob Mueller, a post-doctoral researcher in Page’s Whitehead lab, said in a statement. “Now that we’re confident of the assembly and gene content of these highly repetitive regions on the X chromosome, we can start to dissect their biological significance.”

Related Stories

SOURCE

http://www.genomeweb.com//node/1256251?utm_source=SilverpopMailing&utm_medium=email&utm_campaign=X%20Chromosome’s%20Possible%20New%20Role;%20NanoString%20Coverage%20Initiated;%20SynapDx%20Raises%20Funds;%20More%20-%2007/22/2013%2010:50:00%20AM

 

REFERENCES in the Nature Genetics

  • Ohno, S. Sex Chromosomes and Sex-Linked Genes (Springer, Berlin, 1967).
  1. Kuroiwa, A. et al. Conservation of the rat X chromosome gene order in rodent species.Chromosome Res. 9, 61–67 (2001).
  2. Delgado, C.L., Waters, P.D., Gilbert, C., Robinson, T.J. & Graves, J.A. Physical mapping of the elephant X chromosome: conservation of gene order over 105 million years.Chromosome Res. 17, 917–926 (2009).
  3. Prakash, B., Kuosku, V., Olsaker, I., Gustavsson, I. & Chowdhary, B.P. Comparative FISH mapping of bovine cosmids to reindeer chromosomes demonstrates conservation of the X-chromosome. Chromosome Res. 4, 214–217 (1996).
  4. Ross, M.T. et al. The DNA sequence of the human X chromosome. Nature 434, 325–337(2005).
  5. Veyrunes, F. et al. Bird-like sex chromosomes of platypus imply recent origin of mammal sex chromosomes. Genome Res. 18, 965–973 (2008).
  6. Watanabe, T.K. et al. A radiation hybrid map of the rat genome containing 5,255 markers.Nat. Genet. 22, 27–36 (1999).
  7. Raudsepp, T. et al. Exceptional conservation of horse-human gene order on X chromosome revealed by high-resolution radiation hybrid mapping. Proc. Natl. Acad. Sci. USA 101,2386–2391 (2004).
  8. Band, M.R. et al. An ordered comparative map of the cattle and human genomes. Genome Res. 10, 1359–1368 (2000).
  9. Murphy, W.J., Sun, S., Chen, Z.Q., Pecon-Slattery, J. & O’Brien, S.J. Extensive conservation of sex chromosome organization between cat and human revealed by parallel radiation hybrid mapping. Genome Res. 9, 1223–1230 (1999).
  10. Spriggs, H.F. et al. Construction and integration of radiation-hybrid and cytogenetic maps of dog chromosome X. Mamm. Genome 14, 214–221 (2003).
  11. Palmer, S., Perry, J. & Ashworth, A. A contravention of Ohno’s law in mice. Nat. Genet. 10,472–476 (1995).
  12. Rugarli, E.I. et al. Different chromosomal localization of the Clcn4 gene in Mus spretus and C57BL/6J mice. Nat. Genet. 10, 466–471 (1995).
  13. She, X. et al. Shotgun sequence assembly and recent segmental duplications within the human genome. Nature 431, 927–930 (2004).
  14. Olivier, M. et al. A high-resolution radiation hybrid map of the human genome draft sequence. Science 291, 1298–1302 (2001).
  15. Dietrich, W.F. et al. A comprehensive genetic map of the mouse genome. Nature 380,149–152 (1996).
  16. Church, D.M. et al. Lineage-specific biology revealed by a finished genome assembly of the mouse. PLoS Biol. 7, e1000112 (2009).
  17. Tishkoff, S.A. & Kidd, K.K. Implications of biogeography of human populations for ‘race’ and medicine. Nat. Genet. 36, S21–S27 (2004).
  18. Bovee, D. et al. Closing gaps in the human genome with fosmid resources generated from multiple individuals. Nat. Genet. 40, 96–101 (2008).
  19. Kidd, J.M. et al. Mapping and sequencing of structural variation from eight human genomes.Nature 453, 56–64 (2008).
  20. Skaletsky, H. et al. The male-specific region of the human Y chromosome is a mosaic of discrete sequence classes. Nature 423, 825–837 (2003).
  21. Hughes, J.F. et al. Chimpanzee and human Y chromosomes are remarkably divergent in structure and gene content. Nature 463, 536–539 (2010).
  22. Kuroda-Kawaguchi, T. et al. The AZFc region of the Y chromosome features massive palindromes and uniform recurrent deletions in infertile men. Nat. Genet. 29, 279–286(2001).
  23. Bellott, D.W. et al. Convergent evolution of chicken Z and human X chromosomes by expansion and gene acquisition. Nature 466, 612–616 (2010).
  24. Lindblad-Toh, K. et al. Genome sequence, comparative analysis and haplotype structure of the domestic dog. Nature 438, 803–819 (2005).
  25. Wade, C.M. et al. Genome sequence, comparative analysis, and population genetics of the domestic horse. Science 326, 865–867 (2009).
  26. International Chicken Genome Sequencing Consortium. Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution. Nature 432,695–716 (2004).
  27. Wang, E.T. et al. Alternative isoform regulation in human tissue transcriptomes. Nature 456,470–476 (2008).
  28. Mortazavi, A., Williams, B.A., McCue, K., Schaeffer, L. & Wold, B. Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat. Methods 5, 621–628 (2008).
  29. Bradley, R.K., Merkin, J., Lambert, N.J. & Burge, C.B. Alternative splicing of RNA triplets is often regulated and accelerates proteome evolution. PLoS Biol. 10, e1001229 (2012).
  30. Handel, M.A. & Eppig, J.J. Sertoli cell differentiation in the testes of mice genetically deficient in germ cells. Biol. Reprod. 20, 1031–1038 (1979).
  31. Mueller, J.L. et al. The mouse X chromosome is enriched for multicopy testis genes showing postmeiotic expression. Nat. Genet. 40, 794–799 (2008).
  32. Coyne, J.A. & Orr, H.A. Speciation (Sinauer Associates, Sunderland, MA, 2004).
  33. Elliott, R.W. et al. Genetic analysis of testis weight and fertility in an interspecies hybrid congenic strain for chromosome X. Mamm. Genome 12, 45–51 (2001).
  34. Elliott, R.W., Poslinski, D., Tabaczynski, D., Hohman, C. & Pazik, J. Loci affecting male fertility in hybrids between Mus macedonicus and C57BL/6. Mamm. Genome 15, 704–710(2004).
  35. Storchová, R. et al. Genetic analysis of X-linked hybrid sterility in the house mouse. Mamm. Genome 15, 515–524 (2004).
  36. Fujita, P.A. et al. The UCSC Genome Browser database: update 2011. Nucleic Acids Res.39, D876–D882 (2011).
  37. Schwartz, S. et al. Human-mouse alignments with BLASTZ. Genome Res. 13, 103–107(2003).
  38. Bailey, J.A. et al. Recent segmental duplications in the human genome. Science 297,1003–1007 (2002).
  39. Osoegawa, K. et al. A bacterial artificial chromosome library for sequencing the complete human genome. Genome Res. 11, 483–496 (2001).
  40. Salido, E.C. et al. Cloning and expression of the mouse pseudoautosomal steroid sulphatase gene (Sts). Nat. Genet. 13, 83–86 (1996).
  41. Yeh, R.F., Lim, L.P. & Burge, C.B. Computational inference of homologous gene structures in the human genome. Genome Res. 11, 803–816 (2001).
  42. Altschul, S.F., Gish, W., Miller, W., Myers, E.W. & Lipman, D.J. Basic local alignment search tool. J. Mol. Biol. 215, 403–410 (1990).
  43. Thornton, K. & Long, M. Rapid divergence of gene duplicates on the Drosophila melanogaster X chromosome. Mol. Biol. Evol. 19, 918–925 (2002).
  44. Trapnell, C., Pachter, L. & Salzberg, S.L. TopHat: discovering splice junctions with RNA-Seq.Bioinformatics 25, 1105–1111 (2009).
  45. Trapnell, C. et al. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat. Biotechnol. 28, 511–515(2010).
  46. Brawand, D. et al. The evolution of gene expression levels in mammalian organs. Nature478, 343–348 (2011).
  47. Deng, X. et al. Evidence for compensatory upregulation of expressed X-linked genes in mammals, Caenorhabditis elegans and Drosophila melanogaster. Nat. Genet. 43,1179–1185 (2011).

 

Read Full Post »

« Newer Posts - Older Posts »