Leaders in Pharmaceutical Business Intelligence (LPBI) Group

Posts Tagged ‘Washington University School of Medicine’

“Uncovering Enzyme” or UCE Linked to Stuttering was discovered at SLAC

Posted in Chemical Biology and its relations to Metabolic Disease, Chemical Genetics, Proteomics, tagged National Institute of General Medical Sciences, Protein Structure Initiative, Sanford-Burnham Medical Research Institute, SLAC National Accelerator Laboratory, SSRL, Stanford Synchrotron Radiation Lightsource, UCE, Washington University School of Medicine on July 1, 2013| Leave a Comment »

Reporter: Aviva Lev-Ari, PhD, RN

 

SLAC Study Reveals Active Site of Enzyme Linked to Stuttering

By Glennda Chui

May 22, 2013

Scientists from the Joint Center for Structural Genomics (JCSG) at SLAC National Accelerator Laboratory have determined the 3-D structure of the chemically active part of an enzyme involved in stuttering.

While the discovery is not likely to lead to a cure for stuttering any time soon, it is welcome news to scientists who have been studying this enzyme, known as “uncovering enzyme” or UCE, for decades. Not only does UCE play a role in the type of persistent stuttering that is passed down in families, but it’s also an important part of the system that breaks down and recycles unwanted molecules in our cells. Knowing its 3-D structure will aid studies of all these systems, and of the health problems that result when they malfunction.

A team led by SLAC’s Debanu Das reported the finding April 9 in the Journal of Biological Chemistry.Das is a structural biologist and protein crystallographer at SSRL, the Stanford Synchrotron Radiation Lightsource, and a member of the JCSG, a multi-institute consortium that rapidly screens proteins coming out of gene mapping projects to determine their structure and function. The JCSG is part of theProtein Structure Initiative funded by the National Institute of General Medical Sciences, and involves 10 scientists at SSRL.

“We go after interesting proteins for which nothing much is known, try to solve their structure and, based on that structure, try to understand what they’re doing in the cell and what they’re related to,” Das said.

At SSRL, researchers aim powerful X-ray beams at crystallized samples of protein, creating patterns that reveal the protein’s 3-D structure. They analyze the structure to determine the protein’s function, and then scour the scientific literature to find scientists who might benefit from this information.

In this case, Das and his colleagues were working on the structure of DUF2233, a protein taken from one of the microbes that inhabit the human gut. Scanning protein databases and scientific reports, they learned that members of this new protein family were found in thousands of bacteria and in some viruses, but had only one representative in humans – UCE. “The microbe and human forms were not identical, but they were obviously related,” Das said.

They also learned that scientists had been studying UCE for decades. It plays a key role in the functioning of lysosomes, cellular sacs full of digestive enzymes that break down bacteria, viruses and worn-out cell parts for recycling. When this recycling process goes awry, the result can be rare metabolic diseases such as Tay-Sachs and Gaucher, which often kill affected children by their early teens. And three years ago, researchers discovered that three mutations in UCE itself were linked to persistent stuttering that is passed down in families. It is thought, but not yet proven, that these mutations may impair the functioning of critical neurons involved in speech.

Das contacted Stuart Kornfeld, a hematologist at Washington University School of Medicine in St. Louis who has been working on UCE and its role in the workings of lysosomes for three decades, and they agreed to collaborate on further studies.

Working from the structure of microbial DUF2233, Das created a computer model that predicted the structure of the same region in human UCE. It showed a cavity on the surface of UCE that appears to be the “active site” where the enzyme brings other chemicals together and induces them to react with each other, a process known as catalysis.

With that model in hand, Kornfeld and other collaborators created various mutations in UCE to see what effect they had on the enzyme’s function. These experiments verified that Das had indeed identified the enzyme’s active site.

“This study by Debanu was the most important advance we’ve had in all these years,” said Kornfeld, who is a co-author of the resulting paper. “We had no idea at all about what part of the enzyme was involved in its catalytic function.”

Dennis Drayna, a human geneticist at the National Institute on Deafness and Other Communication Disorders whose team discovered the stuttering-linked mutations, said lack of knowledge about the structure and function of UCE had hampered studies of its effects.

“The reason this is so interesting to us is because many of the biochemical details of the nature of the UCE have been really quite obscure,” he said. “It has been something of a black box. It’s a singleton in all of the human genome, as far as we can tell.”

While the three UCE mutations account for only 10 percent of persistent stuttering that runs in families, which in turn make up half of the total cases, that translates to about 3 million people worldwide, Drayna added. And while none of the stuttering mutations discovered so far occur within the cavity of the enzyme’s active site, this does not mean they would not have an impact on its chemical function, since pretty much every part of the protein is involved, in some fashion, in its work.

Paper co-author Ashley Deacon, a structural biologist and head of the Structural Genomics Division at SSRL, said scientists there are continuing to probe the structure of other parts of UCE, outside the active site.

“The whole molecule probably would not crystallize – often human proteins are rather big, with a lot of flexible regions – but we can do a single domain at a time,” he said. “We’ll see how far we can get.”

Other study co-authors include SSRL’s Hsiu-Ju Chiu and Mitchell D. Miller and researchers from the Genomics Institute of the Novartis Research Foundation, The Scripps Research Institute, Sanford-Burnham Medical Research Institute and the Center for Research in Biological Systems at University of California-San Diego, all in San Diego, Calif., which collaborate with SSRL as part of the JCSG.

SHARE

     

Uncovering enzyme (UCE) is an important part of a system that breaks down and recycles unwanted molecules in our cells. It carries out its work in the Golgi apparatus – the folded structure shown here in blue – where it helps process digestive proteins that go on to work in the lysosome, the stomach of the cell. Mutations in UCE are linked with metabolic disease in mice and persistent stuttering in people. Scientists have now uncovered the 3-D structure of the enzyme’s chemically active site, which belongs to a novel protein family. The discovery was made in a version of the protein family that occurs in microbes, and then used to find the active site in human UCE. The clumpy structure in the foreground is the microbial version of the protein. (Illustration by Greg Stewart/SLAC.)

http://www6.slac.stanford.edu/news/2013-05-23-UCE.aspx

Share this:

• Click to share on Twitter (Opens in new window)
• Click to share on LinkedIn (Opens in new window)
• Click to share on Facebook (Opens in new window)
• Click to print (Opens in new window)
• Click to email a link to a friend (Opens in new window)

Like this:

Like Loading...

Read Full Post »

Harnessing New Players in Atherosclerosis to Treat Heart Disease

Posted in Atherogenic Processes & Pathology, Frontiers in Cardiology and Cardiovascular Disorders, Origins of Cardiovascular Disease, Pharmacotherapy of Cardiovascular Disease, Resident-cell-based, tagged Columbia University Medical Center, Harvard Medical School, New York Academy of Sciences, Washington University School of Medicine on April 25, 2013| Leave a Comment »

Reporter: Aviva Lev-Ari, PhD, RN

 

Harnessing New Players in Atherosclerosis to Treat Heart Disease

Tuesday, September 24, 2013 | 8:30 AM – 4:30 PM

The New York Academy of Sciences

Presented by the Biochemical Pharmacology Discussion Group

Atherosclerosis is defined as a chronic inflammatory disease affecting arterial blood vessels involving dysregulation of the endothelial-leukocyte adhesive interactions, increased leukocyte apoptosis within the plaque, and defective phagocytosis of apoptotic cells. Despite the key role of monocytes/macrophages in atherosclerosis, mounting evidence suggests that dysregulation of other cell types may be independent risk factors for atherosclerosis. Leukocytes are produced daily and are derived from hematopoietic stem and progenitor cells within the bone marrow in a process call hematopoiesis. A better understanding of this process will open an avenue to identify new targets to fight atherosclerosis.

*Reception to follow.

Organizers

Mercedes Beyna, MS

Pfizer Global Research and Development

Nadeem Sarwar, PhD

Pfizer Global Research and Development

Laurent Yvan-Charvet, PhD

INSERM U1065/UNS, C3M

Jennifer Henry, PhD

The New York Academy of Sciences

Speakers

Elena V. Galkina, MD, PhD

Eastern Virginia Medical School

Emmanuel L. Gautier, PhD

Washington University School of Medicine, St. Louis

Klaus Ley, MD

La Jolla Institute for Allergy and Immunology

Andrew H. Lichtman, MD, PhD

Brigham and Women’s Hospital, Harvard Medical School

Kathryn J. Moore, PhD

New York University Medical Center

Matthias Nahrendorf, MD, PhD

Harvard Medical School

Alan R. Tall, MD, PhD

Columbia University Medical Center

http://www.nyas.org/Events/Detail.aspx?cid=1103f191-2d94-4f37-b91f-64293dc88019

 

Share this:

• Click to share on Twitter (Opens in new window)
• Click to share on LinkedIn (Opens in new window)
• Click to share on Facebook (Opens in new window)
• Click to print (Opens in new window)
• Click to email a link to a friend (Opens in new window)

Like this:

Like Loading...

Read Full Post »

Genetic Basis of Complex Human Diseases: Dan Koboldt’s Advice to Next-Generation Sequencing Neophytes

Posted in Biological Networks, Gene Regulation and Evolution, Chemical Genetics, Computational Biology/Systems and Bioinformatics, Genome Biology, Genomic Testing: Methodology for Diagnosis, Medical and Population Genetics, Personalized and Precision Medicine & Genomic Research, Population Health Management, Genetics & Pharmaceutical, Proteomics, Statistical Methods for Research Evaluation, Technology Transfer: Biotech and Pharmaceutical, tagged Biology, DNA Sequencing, Genome Institute, Illumina, Washington University in St. Louis, Washington University School of Medicine on February 20, 2013| 1 Comment »

Reporter: Aviva Lev-Ari, PhD, RN

Word Cloud by Daniel Menzin

UPDATED 3/27/2013

The Exome is Not Enough

March 27, 2013

Dan Koboldt at MassGenomics explains why exome sequencing often fails to identify causal variants, even in Mendelian disorders — “the very plausible possibility that a noncoding functional variant is responsible.”

Koboldt, the analysis manager in the human genetics group at the Genome Institute at Washington University, says that researchers shouldn’t overlook the importance of noncoding functional variants, which require a suite of technologies to detect, including RNA-seq, ChiP-seq, DNAse sequencing and footprinting, bisulfite sequencing, and chromosome conformation capture.

“These types of experiments generate a wealth of data about regulatory activity in genomes,” he says. “While studying each of these independently is certainly informative, integrative analysis will be required to elucidate how all of these different regulatory mechanisms work together.”

While this effort will require “robust statistical models, substantial computing resources, and productive collaboration among research groups, the end result “will be a far more complete understanding of how the genome works,” he says.

 

SOURCE:

http://www.genomeweb.com//node/1209591?hq_e=el&hq_m=1544811&hq_l=3&hq_v=e1df6f3681

Dan Koboldt works as a staff scientist in the Human Genetics group of the Genome Institute at Washington University in St. Louis. There, he works with scientists, physicians, programmers, and data analysts to understand the genetic basis of complex human diseases such as cancer, vision disorders, and metabolic syndromes through next-gen sequencing analysis. He received bachelor’s degrees in Computer Science and French from the University of Missouri-Columbia, and a master’s degree in Biology fromWashington University.

Dan has worked in the field of human genetics since 2003, when he joined the lab of Raymond E. Miller, which played a role in the International HapMap Project and later the genetic map of C. briggsae, a model organism related to C. elegans.

Disclaimer: The views expressed on this site, including blog posts and static pages, do not necessarily reflect the opinions of the Genome Institute at Washington University, the Washington University School of Medicine, or Washington University in St. Louis.

Before diving in with both feet, next-generation sequencing neophytes might want to take a gander at a post by Dan Koboldt at MassGenomics where he describes his 10 commandments for good next-gen sequencing.

In his post, Koboldt breaks up his instructions into four categories: analysis, publications, data sharing and submissions, and research ethics and cost.

His list includes some oft repeated warnings. For example, he cautions against reinventing the wheel when it comes to developing analysis software, and, for pity’s sake, don’t invent any more words that end in “ome” or “omics.”

Some other no-no’s, according to Koboldt, include publishing results before they’ve been vetted properly, testing new methods on simulated data only, and taking “unfair advantage of submitted data.”

He also admonishes newcomers to think a little bit about the cost of analysis without which “your sequencing data, your $1,000 genome, is about as useful as a chocolate teapot,” and to have a care for the privacy of their study participants’ samples and data.

 http://www.genomeweb.com//node/1193731?hq_e=el&hq_m=1504568&hq_l=3&hq_v=df86f8764d

Ten Commandments for Next-Gen Sequencing

Just as the reach of next-generation sequencing has continued to grow — in both research and clinical realms — so too has the community of NGS users.  Some have been around since the early days. The days of 454 and Solexa sequencing. Since then, the field has matured at an astonishing pace. Many standards were established to help everyone make sense of this flood of data. The recent democratization of sequencing has made next-gen sequencing available to just about anyone.

And yet, there have been growing pains. With great power comes great responsibility. To help some of the newcomers into the field, I’ve drafted these ten commandments for next-gen sequencing.

NGS Analysis

1. Thou shalt not reinvent the wheel. In spite of rapid technological advances, NGS is not a new field. Most of the current “workhorse” technologies have been on the market for a couple of years or more. As such, we have a plethora of short read aligners, de novo assemblers, variant callers, and other tools already. Even so, there is a great temptation for bioinformaticians to write their own “custom scripts” to perform these tasks. There’s a new “Applications Note” every day with some tool that claims to do something new or better.

Can you really write an aligner that’s better than BWA? More importantly, do we need one? Unless you have some compelling reason to develop something new (as we did when we developed SomaticSniper and VarScan), take advantage of what’s already out there.

2. Thou shalt not coin any new term ending with “ome” or “omics”. We have enough of these already, to the point where it’s getting ridiculous. Genome, transcriptome, and proteome are obvious applications of this nomenclature. Epigenome, sure. But the metabolome, interactome, and various other “ome” words are starting to detract from the naming system. The ones we need have already been coined. Don’t give in to the temptation.

3. Thou shall follow thy field’s conventions for jargon. Technical terms, acronyms, and abbreviations are inherent to research. We need them both for precision and brevity. When we get into trouble is when people feel the need to create their own acronyms when a suitable one already exists. Is there a significant difference between next-generation sequencing (NGS), high-throughput sequencing (HTS), and massively parallel sequencing (MPS)?

Widely accepted terms provide something of a standard, and they should be used whenever possible. Insertion/deletion variants are indels, not InDels or INDELs DIPs. Structural variants are SVs, not SVars or GVs. We don’t need any more acronyms!

NGS Publications

These commandments address behaviors that get on my nerves, both as a blogger and a peer reviewer.

4. Thou shalt not publish by press release. This is a disturbing trend that seems to happen more and more frequently in our field: the announcement of “discoveries” before they have been accepted for publication. Peer review is the required vetting process for scientific research. Yes, it takes time and yes, your competitors are probably on the verge of the same discovery. That doesn’t mean you get to skip ahead and claim credit by putting out a press release.

There are already examples of how this can come back to bite you. When the reviewers trash your manuscript, or (gasp) you learn that a mistake was made, it looks bad. It reflects poorly on the researchers and the institution, both in the field and in the eyes of the public.

5. Thou shalt not rely only on simulated data. Often when I read a paper on a new method or algorithm, they showcase it using simulated data. This often serves a noble purpose, such as knowing the “correct” answer and demonstrating that your approach can find it. Even so, you’d better apply it to some real data too. Simulations simply can’t replicate the true randomness of nature and the crap-that-can-go-wrong reality of next-gen sequencing. There’s plenty of freely available data out there; go get some of it.

6. Thou shalt obtain enough samples. One consequence of the rapid growth of our field (and accompanying drop in sequencing costs) is that small sample numbers no longer impress anyone. They don’t impress me, and they certainly don’t impress the statisticians upstairs. The novelty of exome or even whole-genome sequencing has long worn off. Now, high-profile studies must back their findings with statistically significant results, and that usually means finding a cohort of hundreds (or thousands) of patients with which to extend your findings.

This new reality may not be entirely bad news, because it surely will foster collaboration between groups that might otherwise not be able to publish individually.

Data Sharing and Submissions

7. Thou shalt withhold no data. With some exceptions, sequencing datasets are meant to be shared. Certain institutions, such as large-scale sequencing centers in the U.S., are mandated by their funding agencies to deposit data generated using public funds on a timely basis following its generation. Since the usual deposition site is dbGaP, this means that IRB approvals and dbGaP certification letters must be in hand before sequencing can begin.

Any researchers who plan to publish their findings based on sequencing datasets will have to submit them to public datasets before publication.This is not optional. It is not “something we should do when we get around to it after the paper goes out.” It is required to reproduce the work, so it should really be done before a manuscript is submitted. Consider this excerpt from Nature‘s publication guidelines:

Data sets must be made freely available to readers from the date of publication, and must be provided to editors and peer-reviewers at submission, for the purposes of evaluating the manuscript.

For the following types of data set, submission to a community-endorsed, public repository is mandatory. Accession numbers must be provided in the paper.

The policies go on to list various types of sequencing data:

• DNA and RNA sequences
• DNA sequencing data (traces for capillary electrophoresis and short reads for next-generation sequencing)
• Deep sequencing data
• Epitopes, functional domains, genetic markers, or haplotypes.

Every journal should have a similar policy; most top-tier journals already do. Editors and referees need to enforce this submission requirement by rejecting any manuscripts that do not include the submission accession numbers.

8. Thou shalt not take unfair advantage of submitted data. Many investigators are concerned about data sharing (especially when mandated upon generation, not publication) from fear of being scooped. This is a valid concern. When you submit your data to a public repository, others can find it and (if they meet the requirements) use it. Personally, I think most of these fears are not justified — I mean, have you ever tried to get data out of dbGaP? The time it takes for someone to find, request, obtain, and use submitted data should allow the producers of the data to write it up.

Large-scale efforts to which substantial resources have been devoted — such as the Cancer Genome Atlas — have additional safeguards in place. Their data use policy states that, for a given cancer type, submitted data can’t be used until the “marker paper” has been published. This is a good rule of thumb for the NGS community, and something that journal editors (and referees) haven’t always enforced.

Just because you can scoop someone doesn’t mean that you should. It’s not only bad karma, but bad for your reputation. Scientists have long memories. They will likely review your manuscript or grant proposal sometime in the future. When that happens, you want to be the person who took the high road.

Research Ethics and Cost

9. Thou shalt not discount the cost of analysis. It’s true that since the advent of NGS technology, the cost of sequencing has plummeted. The cost of analysis, however, has not. And making sense of genomic data — alignment, quality control, variant calling, annotation, interpretation — is a daunting task indeed. It takes computational resources as well as expertise. This infrastructure is not free; in fact, it can be more expensive than the sequencing itself. 

Without analysis, your sequencing data, your $1,000 genome, is about as useful as a chocolate teapot.

10. Thou shalt honor thy patients and their samples. Earlier this month, I wrote about how supposedly anonymous individuals from the CEPH collection were identified using a combination of genetic markers and online databases. It is a simple fact that we can no longer guarantee a sequenced sample’s anonymity. That simple fact, combined with our growing ability to interpret the possible consequences of an individual genome, means a great deal of risk for study volunteers.

We must safeguard the privacy of study participants — and find ways to protect them from privacy violations and/or discrimination — if we want their continued cooperation.

This means obtaining good consent documents and ensuring that they’re all correct before sequencing begins. It also means adhering to the data use policies those consents specify. As I’ve written before, samples are the new commodity in our field. Anyone can rent time on a sequencer. If you don’t make an effort to treat your samples right, someone else will.

Related Posts:

• Science and Science Fiction It occurred to me recently, while refereeing a manuscript, that publication in research is a lot more forgiving than publication in fiction. I’d just read …
• Identifying Samples from Genomic Data In last week’s issue of Science, Melissa Gymrek and colleagues from the lab of Yaniv Erlich (Whitehead) report a method for the triangulation the identity …
• Human Genetics Challenges in an Era of Cheap Sequencing Next-generation sequencing promises to reach unprecedented levels of throughput this year, driving down the cost of sequencing dramatically. Somewhere between the GridION, the Ion Proton, …
• Ethical Challenges for Clinical Genome Sequencing The past decade has been a turbulent one for the ream of genetic and genomic research. Since the completion of the human genome and beginning …

SOURCE:

http://massgenomics.org/2013/02/ngs-commandments.html

Dan Koboldt’s Publications

Bose R, Kavuri SM, Searleman AC, Shen W, Shen D, Koboldt DC, Monsey J, Goel N, Aronson AB, Li S, Ma CX, Ding L, Mardis ER, & Ellis MJ (2013).Activating HER2 mtations in HER2 gene amplification negative breast cancer. Cancer discovery PMID: 23220880

The 1000 Genomes Project Consortium (2012). An integrated map of genetic variation from 1,092 human genomes. Nature 491, 56-65. DOI: 10.1038/nature11632

Cancer Genome Atlas Network (2012). Comprehensive molecular portraits of human breast tumours. Nature, 490 (7418), 61-70 PMID:23000897

Ellis MJ, Ding L, Shen D, Luo J, Suman VJ, Wallis JW, Van Tine BA, Hoog J, Goiffon RJ, Goldstein TC, Ng S, Lin L, Crowder R, Snider J, Ballman K, Weber J, Chen K, Koboldt DC, Kandoth C, Schierding WS, McMichael JF, Miller CA, Lu C, Harris CC, McLellan MD, Wendl MC, DeSchryver K, Allred DC, Esserman L, Unzeitig G, Margenthaler J, Babiera GV, Marcom PK, Guenther JM, Leitch M, Hunt K, Olson J, Tao Y, Maher CA, Fulton LL, Fulton RS, Harrison M, Oberkfell B, Du F, Demeter R, Vickery TL, Elhammali A, Piwnica-Worms H, McDonald S, Watson M, Dooling DJ, Ota D, Chang LW, Bose R, Ley TJ, Piwnica-Worms D, Stuart JM, Wilson RK, & Mardis ER (2012). Whole-genome analysis informs breast cancer response to aromatase inhibition. Nature, 486 (7403), 353-60 PMID: 22722193

Welch JS, Ley TJ, Link DC, Miller CA, Larson DE, Koboldt DC, Wartman LD, Lamprecht TL, Liu F, Xia J, Kandoth C, Fulton RS, McLellan MD, Dooling DJ, Wallis JW, Chen K, Harris CC, Schmidt HK, Kalicki-Veizer JM, Lu C, Zhang Q, Lin L, O’Laughlin MD, McMichael JF, Delehaunty KD, Fulton LA, Magrini VJ, McGrath SD, Demeter RT, Vickery TL, Hundal J, Cook LL, Swift GW, Reed JP, Alldredge PA, Wylie TN, Walker JR, Watson MA, Heath SE, Shannon WD, Varghese N, Nagarajan R, Payton JE, Baty JD, Kulkarni S, Klco JM, Tomasson MH, Westervelt P, Walter MJ, Graubert TA, DiPersio JF, Ding L, Mardis ER, & Wilson RK (2012). The origin and evolution of mutations in acute myeloid leukemia. Cell, 150 (2), 264-78 PMID: 22817890

Cancer Genome Atlas Network (2012). Comprehensive molecular characterization of human colon and rectal cancer. Nature, 487(7407), 330-7 PMID: 22810696

Dees ND, Zhang Q, Kandoth C, Wendl MC, Schierding W, Koboldt DC, Mooney TB, Callaway MB, Dooling D, Mardis ER, Wilson RK, & Ding L (2012). MuSiC: identifying mutational significance in cancer genomes.Genome research, 22 (8), 1589-98 PMID: 22759861

Walter MJ, Shen D, Ding L, Shao J, Koboldt DC, Chen K, Larson DE, McLellan MD, Dooling D, Abbott R, Fulton R, Magrini V, Schmidt H, Kalicki-Veizer J, O’Laughlin M, Fan X, Grillot M, Witowski S, Heath S, Frater JL, Eades W, Tomasson M, Westervelt P, DiPersio JF, Link DC, Mardis ER, Ley TJ, Wilson RK, & Graubert TA (2012). Clonal architecture of secondary acute myeloid leukemia. The New England journal of medicine, 366(12), 1090-8 PMID: 22417201

Matsushita H, Vesely MD, Koboldt DC, Rickert CG, Uppaluri R, Magrini VJ, Arthur CD, White JM, Chen YS, Shea LK, Hundal J, Wendl MC, Demeter R, Wylie T, Allison JP, Smyth MJ, Old LJ, Mardis ER, & Schreiber RD (2012).Cancer exome analysis reveals a T-cell-dependent mechanism of cancer immunoediting. Nature, 482 (7385), 400-4 PMID: 22318521

Koboldt DC, Zhang Q, Larson DE, Shen D, McLellan MD, Lin L, Miller CA, Mardis ER, Ding L, & Wilson RK (2012). VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencing. Genome Research PMID: 22300766

Koboldt DC, Larson DE, Chen K, Ding L, & Wilson RK (2012). Massively parallel sequencing approaches for characterization of structural variation. Methods in molecular biology (Clifton, N.J.), 838, 369-84 PMID:22228022

Graubert TA, Shen D, Ding L, Okeyo-Owuor T, Lunn CL, Shao J, Krysiak K, Harris CC, Koboldt DC, Larson DE, McLellan MD, Dooling DJ, Abbott RM, Fulton RS, Schmidt H, Kalicki-Veizer J, O’Laughlin M, Grillot M, Baty J, Heath S, Frater JL, Nasim T, Link DC, Tomasson MH, Westervelt P, DiPersio JF, Mardis ER, Ley TJ, Wilson RK, & Walter MJ (2011). Recurrent mutations in the U2AF1 splicing factor in myelodysplastic syndromes. Nature genetics, 44 (1), 53-7 PMID: 22158538

Larson DE, Harris CC, Chen K, Koboldt DC, Abbott TE, Dooling DJ, Ley TJ, Mardis ER, Wilson RK, & Ding L. (2011). SomaticSniper: Identification of Somatic Point Mutations in Whole Genome Sequencing Data.Bioinformatics, Online : doi: 10.1093/bioinformatics/btr665

Cancer Genome Atlas Research Network (2011). Integrated genomic analyses of ovarian carcinoma. Nature, 474 (7353), 609-15 PMID:21720365

Marth GT, Yu F, Indap AR, Garimella K, et al & the 1000 Genomes Project (2011). The functional spectrum of low-frequency coding variation.Genome biology, 12 (9) PMID: 21917140

Ross JA, Koboldt DC, Staisch JE, Chamberlin HM, Gupta BP, Miller RD, Baird SE, & Haag ES (2011). Caenorhabditis briggsae recombinant inbred line genotypes reveal inter-strain incompatibility and the evolution of recombination. PLoS genetics, 7 (7) PMID: 21779179

Bowne SJ, Humphries MM, Sullivan LS, Kenna PF, Tam LC, Kiang AS, Campbell M, Weinstock GM, Koboldt DC, Ding L, Fulton RS, Sodergren EJ, et al (2011). A dominant mutation in RPE65 identified by whole-exome sequencing causes retinitis pigmentosa with choroidal involvement. European journal of human genetics : EJHG, 19 (10) PMID:21938004

Link DC, Schuettpelz LG, Shen D, Wang J, Walter MJ, Kulkarni S, Payton JE, Ivanovich J, Goodfellow PJ, Le Beau M, Koboldt DC, Dooling DJ, Fulton RS, et al (2011). Identification of a novel TP53 cancer susceptibility mutation through whole-genome sequencing of a patient with therapy-related AML. JAMA : the journal of the American Medical Association, 305 (15), 1568-76 PMID: 21505135

Ley T, Ding L, Walter M, McLellan M, Lamprecht T, Larson D, Kandoth C, Payton J, Baty J, Welch J, Harris C, Lichti C, Townsend R, Fulton R, Dooling D, Koboldt D, et al. (2010). DNMT3A Mutations in Acute Myeloid Leukemia
New England Journal of Medicine DOI: 10.1056/NEJMoa1005143

Ding L, Wendl MC, Koboldt DC, & Mardis ER (2010). Analysis of next-generation genomic data in cancer: accomplishments and challenges. Human Molecular Genetics, 19 (R2):R188-96. PMID:20843826

Sudmant PH, Kitzman JO, Antonacci F, Alkan C, Malig M, Tsalenko A, Sampas N, Bruhn L, Shendure J, 1000 Genomes Project, & Eichler EE (2010). Diversity of human copy number variation and multicopy genes. Science (New York, N.Y.), 330 (6004), 641-6 PMID: 21030649

The 1000 Genomes Project Consortium (2010). A map of human genome variation from population-scale sequencing. Nature, 467(7319), 1061-1073 DOI: 10.1038/nature09534

Bowne SJ, Sullivan LS, Koboldt DC, Ding L, Fulton R, Abbott RM, Sodergren EJ, Birch DG, Wheaton DH, Heckenlively JR, Liu Q, Pierce EA, Weinstock GM, & Daiger SP (2010). Identification of Disease-Causing Mutations in Autosomal Dominant Retinitis Pigmentosa (adRP) Using Next-Generation DNA Sequencing. Investigative ophthalmology & visual science PMID: 20861475

Fehniger, T., Wylie, T., Germino, E., Leong, J., Magrini, V., Koul, S., Keppel, C., Schneider, S., Koboldt, D., Sullivan, R., Heinz, M., Crosby, S., Nagarajan, R., Ramsingh, G., Link, D., Ley, T., & Mardis, E. (2010). Next-generation sequencing identifies the natural killer cell microRNA transcriptome Genome Research DOI: 10.1101/gr.107995.110

Ramsingh G, Koboldt DC, Trissal M, Chiappinelli KB, Wylie T, Koul S, Chang LW, Nagarajan R, Fehniger TA, Goodfellow P, Magrini V, Wilson RK, Ding L, Ley TJ, Mardis ER, & Link DC (2010). Complete characterization of the microRNAome in a patient with acute myeloid leukemia. BloodPMID: 20876853

Koboldt DC, Ding L, Mardis ER & Wilson RK. (2010). Challenges of sequencing human genomes. Briefings in Bioinformatics DOI:10.1093/bib/bbq016

Ding L, Ellis MJ, Li S, Larson DE, Chen K, Wallis JW, Harris CC, McLellan MD, Fulton RS, Fulton LL, Abbott RM, Hoog J, Dooling DJ, Koboldt DC, et al. (2010). Genome remodelling in a basal-like breast cancer metastasis and xenograft. Nature, 464 (7291), 999-1005 PMID:20393555

Koboldt DC and Miller RD (2010). Identification of polymorphic markers for genetic mapping. Genomics: Essential Methods, In Press.

Koboldt DC, Staisch J, Thillainathan B, Haines K, Baird SE, Chamberlin HM, Haag ES, Miller RD, & Gupta BP (2010). A toolkit for rapid gene mapping in the nematode Caenorhabditis briggsae. BMC genomics, 11 (1) PMID: 20385026

Voora D, Koboldt DC, King CR, Lenzini PA, Eby CS, Porche-Sorbet R, Deych E, Crankshaw M, Milligan PE, McLeod HL, Patel SR, Cavallari LH, Ridker PM, Grice GR, Miller RD, & Gage BF (2010). A polymorphism in the VKORC1 regulator calumenin predicts higher warfarin dose requirements in African Americans. Clinical pharmacology and therapeutics, 87 (4), 445-51 PMID: 20200517

Zhang Q, Ding L, Larson DE, Koboldt DC, McLellan MD, Chen K, Shi X, Kraja A, et al (2009). CMDS: a population-based method for identifying recurrent DNA copy number aberrations in cancer from high-resolution data. Bioinformatics (Oxford, England) PMID: 20031968

Mardis ER, Ding L, Dooling DJ, Larson DE, McLellan MD, Chen K, Koboldt DC, et al (2009). Recurring mutations found by sequencing an acute myeloid leukemia genome. The New England journal of medicine, 361(11), 1058-66 PMID: 19657110

Koboldt DC, Chen K, Wylie T, Larson DE, McLellan MD, Mardis ER, Weinstock GM, Wilson RK, & Ding L (2009). VarScan: variant detection in massively parallel sequencing of individual and pooled samples.Bioinformatics (Oxford, England), 25 (17), 2283-5 PMID: 19542151

Ley TJ, Mardis ER, Ding L, Fulton B, McLellan MD, Chen K, Dooling D, Dunford-Shore BH, McGrath S, Hickenbotham M, Cook L, Abbott R, Larson DE, Koboldt DC, et al (2008). DNA sequencing of a cytogenetically normal acute myeloid leukaemia genome. Nature, 456 (7218), 66-72 PMID: 18987736

Ding L, Getz G, Wheeler DA, Mardis ER, McLellan MD, Cibulskis K, Sougnez C, et al (2008). Somatic mutations affect key pathways in lung adenocarcinoma. Nature, 455 (7216), 1069-75 PMID: 18948947

Cancer Genome Atlas Research Network (2008). Comprehensive genomic characterization defines human glioblastoma genes and core pathways. Nature, 455 (7216), 1061-8 PMID: 18772890

International HapMap Consortium (2007). A second generation human haplotype map of over 3.1 million SNPs. Nature, 449 (7164), 851-61 PMID: 17943122

Sabeti PC, Varilly P, Fry B, et al (2007). Genome-wide detection and characterization of positive selection in human populations. Nature, 449 (7164), 913-8 PMID: 17943131

Hillier LW, Miller RD, Baird SE, Chinwalla A, Fulton LA, Koboldt DC, & Waterston RH (2007). Comparison of C. elegans and C. briggsaegenome sequences reveals extensive conservation of chromosome organization and synteny. PLoS biology, 5 (7) PMID: 17608563

Stanley SL Jr, Frey SE, Taillon-Miller P, Guo J, Miller RD, Koboldt DC, Elashoff M, Christensen R, Saccone NL, & Belshe RB (2007). The immunogenetics of smallpox vaccination. The Journal of infectious diseases, 196 (2), 212-9 PMID: 17570108

Koboldt DC, Miller RD, & Kwok PY (2006). Distribution of human SNPs and its effect on high-throughput genotyping. Human mutation, 27(3), 249-54 PMID: 16425292

The International HapMap Consortium (2005). A haplotype map of the human genome. Nature, 437 (7063), 1299-1320 PMID: 16255080

Miller RD, Phillips MS, et al (2005). High-density single-nucleotide polymorphism maps of the human genome. Genomics, 86 (2), 117-26 PMID: 15961272

Other Writing by Dan Koboldt

Dan Koboldt is also the author of Get Your Baby to Sleep, a resource to help new parents whose baby won’t sleep with advice on establishing healthy baby sleep habits and handling baby sleep problems. He contributes to The Best of Twins and In Search of Whitetails blogs as well.

How would you like to start your own blog? See this guide to building a blog or website in 20 minutes. It walks you through setting up a site with open-source WordPress software, which happens to be what runs Massgenomics.

SOURCE:

 http://massgenomics.org/about

Other related articles on this Open Access Online Scientific Journal:

“Genome in a Bottle”: NIST’s new metrics for Clinical Human Genome Sequencing “Genome in a Bottle”: NIST’s new metrics for Clinical Human Genome Sequencing

http://pharmaceuticalintelligence.com/2012/09/06/genome-in-a-bottle-nists-new-metrics-for-clinical-human-genome-sequencing/

DNA – The Next-Generation Storage Media for Digital Information

http://pharmaceuticalintelligence.com/2012/08/27/dna-the-next-generation-storage-media-for-digital-information/

How Genome Sequencing is Revolutionizing Clinical Diagnostics

http://pharmaceuticalintelligence.com/2012/08/20/how-genome-sequencing-is-revolutionizing-clinical-diagnostics/

NGS Market: Trends and Development for Genotype-Phenotype Associations Research

http://pharmaceuticalintelligence.com/2013/02/19/ngs-market-trends-and-development-for-genotype-phenotype-associations/

What is the Future for Genomics in Clinical Medicine?

http://pharmaceuticalintelligence.com/2013/02/17/what-is-the-future-for-genomics-in-clinical-medicine/

Genomically Guided Treatment after CLIA Approval: to be offered by Weill Cornell Precision Medicine Institute

http://pharmaceuticalintelligence.com/2013/02/06/genomically-guided-treatment-after-clia-approval-to-be-offered-by-weill-cornell-precision-medicine-institute/

Inaugural Genomics in Medicine – The Conference Program, 2/11-12/2013, San Francisco, CA

http://pharmaceuticalintelligence.com/2013/02/04/inaugural-genomics-in-medicine-the-conference-program-211-122013-san-francisco-ca/

GSK for Personalized Medicine using Cancer Drugs needs Alacris systems biology model to determine the in silico effect of the inhibitor in its “virtual clinical trial”

http://pharmaceuticalintelligence.com/2012/11/14/gsk-for-personalized-medicine-using-cancer-drugs-needs-alacris-systems-biology-model-to-determine-the-in-silico-effect-of-the-inhibitor-in-its-virtual-clinical-trial/

arrayMap: Genomic Feature Mining of Cancer Entities of Copy Number Abnormalities (CNAs) Data

http://pharmaceuticalintelligence.com/2012/11/01/arraymap-genomic-feature-mining-of-cancer-entities-of-copy-number-abnormalities-cnas-data/

NGS Cardiovascular Diagnostics: Long-QT Genes Sequenced – A Potential Replacement for Molecular Pathology

http://pharmaceuticalintelligence.com/2012/10/01/ngs-cardiovascular-diagnostics-long-qt-genes-sequenced-a-potential-replacement-for-molecular-pathology/

Speeding Up Genome Analysis: MIT Algorithms for Direct Computation on Compressed Genomic Datasets

http://pharmaceuticalintelligence.com/2012/09/18/speeding-up-genome-analysis-mit-algorithms-for-direct-computation-on-compressed-genomic-datasets/

Clinical Genetics, Personalized Medicine, Molecular Diagnostics, Consumer-targeted DNA – Consumer Genetics Conference (CGC) – October 3-5, 2012, Seaport Hotel, Boston, MA

http://pharmaceuticalintelligence.com/2012/09/06/clinical-genetics-personalized-medicine-molecular-diagnostics-consumer-targeted-dna-consumer-genetics-conference-cgc-october-3-5-2012-seaport-hotel-boston-ma/

“CRACKING THE CODE OF HUMAN LIFE: The Birth of BioInformatics & Computational Genomics” lays the manifold multivariate systems analytical tools that has moved the science forward to a groung that ensures clinical application.

http://pharmaceuticalintelligence.com/2013/02/13/cracking-the-code-of-human-life-the-birth-of-bioinformatics-and-computational-genomics/

Share this:

• Click to share on Twitter (Opens in new window)
• Click to share on LinkedIn (Opens in new window)
• Click to share on Facebook (Opens in new window)
• Click to print (Opens in new window)
• Click to email a link to a friend (Opens in new window)

Like this:

Like Loading...

Read Full Post »

• Follow Blog via Email

  Enter your email address to follow this blog and receive notifications of new posts by email.

  Email Address

  Follow

  Join 2,001 other subscribers

• Recent Posts

  • Near Term Investment Outlook for 2023: A Perspective from Advisors Potentially Affecting M&A Landscape August 5, 2022
  • SOP for production of WordClouds for articles in the NEW GENRE Audio English-Spanish: BioMed e-Series – 18 Volumes in Medicine July 25, 2022
  • Cardiothoracic surgeons at UC San Francisco performed the first robotically assisted mitral valve prolapse surgery in San Francisco. July 22, 2022
  • Explanation on “Results of Medical Text Analysis with Natural Language Processing (NLP) presented in LPBI Group’s NEW GENRE Edition: NLP” on Genomics content, standalone volume in Series B and NLP on Cancer content as Part B New Genre Volume 1 in Series C   July 7, 2022
  • Sperm damage and fertility problem due to COVID-19 June 23, 2022
  • Genomic data can predict miscarriage and IVF failure June 15, 2022
  • The Human Genome Gets Fully Sequenced: A Simplistic Take on Century Long Effort June 14, 2022
  • Aortic Valve Transplant Via Carotid Artery at Hadassah – An Israel First May 29, 2022
  • Omecamtiv mecarbil – A study examined efficacy and tolerability in Heart Failure patients with SBP ≤100 mmHg enrolled in GALACTIC-HF May 23, 2022
  • Sperm epigenetic clock and pregnancy outcomes May 14, 2022

• Archives

  Archives Select Month August 2022  (1) July 2022  (3) June 2022  (3) May 2022  (8) April 2022  (10) March 2022  (7) February 2022  (7) January 2022  (3) December 2021  (3) November 2021  (4) October 2021  (11) September 2021  (5) August 2021  (8) July 2021  (21) June 2021  (8) May 2021  (10) April 2021  (8) March 2021  (15) February 2021  (17) January 2021  (20) December 2020  (10) November 2020  (12) October 2020  (26) September 2020  (17) August 2020  (22) July 2020  (27) June 2020  (33) May 2020  (26) April 2020  (42) March 2020  (22) February 2020  (11) January 2020  (7) December 2019  (20) November 2019  (13) October 2019  (11) September 2019  (3) August 2019  (8) July 2019  (25) June 2019  (47) May 2019  (40) April 2019  (27) March 2019  (29) February 2019  (17) January 2019  (50) December 2018  (14) November 2018  (17) October 2018  (18) September 2018  (17) August 2018  (8) July 2018  (20) June 2018  (22) May 2018  (17) April 2018  (12) March 2018  (20) February 2018  (26) January 2018  (16) December 2017  (6) November 2017  (20) October 2017  (13) September 2017  (16) August 2017  (16) July 2017  (19) June 2017  (20) May 2017  (32) April 2017  (21) March 2017  (10) February 2017  (24) January 2017  (21) December 2016  (43) November 2016  (8) October 2016  (40) September 2016  (67) August 2016  (59) July 2016  (75) June 2016  (37) May 2016  (95) April 2016  (152) March 2016  (175) February 2016  (196) January 2016  (139) December 2015  (90) November 2015  (287) October 2015  (237) September 2015  (115) August 2015  (96) July 2015  (63) June 2015  (44) May 2015  (53) April 2015  (76) March 2015  (95) February 2015  (83) January 2015  (75) December 2014  (75) November 2014  (88) October 2014  (135) September 2014  (117) August 2014  (88) July 2014  (88) June 2014  (109) May 2014  (60) April 2014  (85) March 2014  (58) February 2014  (72) January 2014  (107) December 2013  (104) November 2013  (136) October 2013  (62) September 2013  (32) August 2013  (46) July 2013  (74) June 2013  (110) May 2013  (112) April 2013  (86) March 2013  (92) February 2013  (63) January 2013  (63) December 2012  (46) November 2012  (71) October 2012  (84) September 2012  (82) August 2012  (122) July 2012  (59) June 2012  (34) May 2012  (46) April 2012  (2)

• Categories

  Categories Select Category 3D Printing for Medical Application  (228)    3D Plotting Scaffolds  (43)    BioInks  (33)       Biopolymer Blend Open Porous  (17)       Dental Applications  (10)    BioPrinting in Regenerative Medicine  (71)       Cell Level  (12)       MicroEngineering Cell-Tissue & Systems  (28)       Tissue Engineering  (34)    Cardiovascular and Vascular Systems  (26)       Artificial Vascular Structures  (9)       Cardiovascular Tissue  (8)    Drug Development using MultiOrgan Chip  (11)    Drug Development/Formulation using 3D Printing  (8)    MEMS  (16)       Bio-MEMS  (12)    Organ-on-a-Chip  (10)    Programmable Sensors (Carbon Nano Tubes)  (5) 3rd Party IP: Drug DIscovery  (1) 4D Printing and Meta Materials  (9) Academic Publishing  (221)    Key Opinion Leaders in eScientific Publishing – Interviews with  (7) Advanced Drug Manufacturing Technology  (90)    Antimalarial Preparation  (8)    Autologous Cell Therapy  (11)    Automated Cell Processing  (11) Allergy and Infectious Diseases  (12) Alzheimer’s Disease  (157)    Etiology  (76)    Medical Device Therapies for Altzheimer’s Disease  (13)    Pharmacotherapy and Cell Activity  (48) Anticancer Resistance  (28) Art Exhibits on the Human Condition  (1) Art Inspires Science  (3) Artificial Heart  (2) Artificial Intelligence – General  (179)    An executive’s guide to AI  (9)    Artificial Intelligence – Breakthroughs in Theories and Technologies  (90)    Artificial Intelligence Applications in Health Care  (88)       Artificial Intelligence in CANCER  (24)       Artificial Intelligence in Health Care – Tools & Innovations  (52)    Artificial Intelligence in Medicine – Application for Diagnosis  (50)       Artificial intelligence applications for cardiology  (22)          AI-assisted Cardiac MRI  (9)       Artificial Intelligence in Psychiatry  (5)       Deep Learning in Pathology  (13)    Artificial Intelligence in Medicine – Applications in Therapeutics  (43)    Machine Learning  (38)       Deep Learning  (5)       Natural Language Processing (NLP)  (19)    Machine learning in predicting type 2 diabetes  (1) Auditory and vision  (13) Autism Spectrum Disorders  (10) Autoimmune Inflammatory DIseases  (18)    Crohn’s disease  (5)    Tolerance-inducing Autoimmune Disease Therapeutics  (2)    Ulcerative Colitis  (3) Autophagosome  (2) Bacterial Resistance  (24) Behavior  (26) Behavioral Genetics  (21) Big Data  (75)    Intelligent Information Systems  (46) Bio Instrumentation in Experimental Life Sciences Research  (362)    Analytical Instruments Industry  (5)    Microfuidics  (6) Bio-Ethics  (13) BioBanking  (33) Biodegradable Drug-eluting Material  (7) Bioengineering & reverse engineering design  (41) BioIT: BioInformatics  (141) BioIT: BioInformatics, NGS, Clinical & Translational, Pharmaceutical R&D Informatics, Clinical Genomics, Cancer Informatics  (123)    Advanced Computing Platform  (30)       Blockchain Transactions System  (6)          Platform for Content Monetization embedded Content Promotion  (1)    Pancreatic adenocarcinoma classifier  (3)    Simulation Modeling in NGS  (3) Biological Engineering  (38) Biological Networks  (186) Biological Networks, Gene Regulation and Evolution  (472)    Virology  (10) Biomarkers & Medical Diagnostics  (564)    VOC – Volatile Organic Compounds as BioMarkers  (2) Biomedical Measurement Science  (170) BioSimilars  (110) BioTechnology – Venture Creation  (123)    Foundations for supporting Science and Education  (12)    Philanthropy to Academic Institution  (2) BioTechnology – Venture Creation, Venture Capital  (104)    Seeking Talent  (3) BiVAD  (1) Blindness  (6) Bone Disease and Musculoskeletal Disease  (82) Brain Basis of Emotion  (5) Business Career Consideration  (1) Ca2+ triggered activation  (59) Calcium  (19) Calcium Signaling  (67) Calmodulin Kinase and Contraction  (34) Cancer – General  (172) Cancer and Current Therapeutics  (393)    interventional oncology  (42)       Breast Cancer – impalpable breast lesions  (17)       Prostate Cancer: Monitoring vs Treatment  (8) CANCER BIOLOGY & Innovations in Cancer Therapy  (1,086)    Anaerobic Glycolysis  (51)    Cachexia  (18)    Cancer Genomics  (66)       Circulating Tumor Cells (CTC)  (19)          Liquid Biopsy Chip detects an array of metastatic cancer cell markers in blood  (14)             mRNA  (5)          MagSifter chip  (1)       KRAS Mutation  (5)       Li-fraumeni syndrome.  (2)       TP53 – Germline mutations  (4)    cancer metabolism  (19)    Funding Opportunities for Cancer Research  (10)    Genomic Expression  (141)    Glioblastoma  (7)    Hexokinase  (14)    Loss of function gene  (17)    Metabolic Immuno-Oncology  (15)    Metastasis Process  (12)    Methylation  (31)    Microbiome and Responses to Cancer Therapy  (5)    Monoclonal Immunotherapy  (27)    mtDNA  (13)    Oxidative phosphorylation  (56)    Pancreatic cancer  (9)    Pyruvate Kinase  (27)    The NCI Formulary  (1)    tumor microenvironment  (13)    Warburg effect  (50) Cancer Informatics  (92) Cancer Prevention: Research & Programs  (125) Cancer Screening  (102) Cancer Vaccines: Targeting Cancer Genes for Immunotherapy  (25)    Engineering Enhanced Cancer Vaccines  (3) cancer-general  (1) Cardiac and Cardiovascular Surgical Procedures  (318)    Aortic Valve: TAVR, TAVI vs Open Heart Surgery  (86)       Prosthesis-Patient Mismatch (PPM) in TAVI vs SAVR  (1)       TAVI vs Open Heart Surgery  (5)       Transcatheter Aortic Valve Replacement via the Transcarotid Access  (1)       Transcaval TAVR Procedure  (2)       Valve-in-Valve Procedure  (3)    Atrial Fibrilation (a-Fib), Cardiac Pacing and Arrhythmias  (17)    BackBeat’s Cardiac Neuromodulation Therapy (CNT) bioelectronic therapy  (1)    CABG  (46)    Cancer Surgery of the Heart  (10)    Cardiovascular Fluid Management: algorithms  (1)    Heart Transplant  (14)    Heart-Lung Transplant  (9)    Implantation  (2)    Left Main Coronary Artery Disease (LMCAD)  (3)    Mechanical Assist Devices: LVAD, RVAD, BiVAD, Artificial Heart  (18)    Mitral Valve: Repair and Replacement  (63)       TMVR – Transcatheter Mitral Valve Repair  (4)    PCI  (104)       Bioresorbable Vascular Scaffold (BVS)  (3)       Invasive FFR for PCI  (2)       Multivessel PCI FFR Guidance  (1)       Robotic-assisted percutaneous coronary intervention  (1)       Stent Retriever in endovascular thrombectomy  (2)    Peripheral Arterial Disease & Peripheral Vascular Surgery  (62)       Abdominal Aorta  (19)       Carotid Artery  (15)       Limb ischemia  (4)       Thoracic Aorta  (15)    Pulmonary Valve Replacement and Repair  (2)    Renal Denervation  (20)    Replacement  (1)    Robotically assisted Cardiothoracic Surgery  (1)    Tricuspid Valve Repair  (6)    Vena Caval Filters: Device for Prevention of Pulmonary Embolism and Thrombosis  (1) Cardiovascular Pharmacogenomics  (168) Cargo  (3) Cell Biology  (315) Cell Biology, Signaling & Cell Circuits  (656)    Apoptosis  (14)    Autophagy-Modulating Proteins  (5)    “Antibody–enzyme conjugates”  (4)    Cell Processing System in Cell Therapy Process Development  (23)    Endoplasmic reticulum  (2)    Enzymatic mechanism underlying the synthesis of adenosine triphosphate (ATP)  (2)    Ubiquitin  (6) Cerebrovascular and Neurodegenerative Diseases  (122)    Stroke  (8) Chemical Biology and its relations to Metabolic Disease  (459)    #BIGAxisSummit  (1)    Gut Microbiome and Obesity  (7) Chemical Genetics  (349) Child and Adolescent Psychiatry  (13) Childhood cancer  (13) Childhood malnutrition  (3) children  (1) Circulating Progenitor Cells  (27)    Bone marrow derived cells  (17)    Endothelial cells  (7)    Umbilical cord cells  (6) Clinical & Translational  (233) Clinical Diagnostics  (214)    Mass automation of plasma proteins  (13) Clinical Genomics  (134) Coagulation Therapy and Internal Bleeding  (83) Cognition  (46) Commercialization  (20) Components and IRB related issues  (4) Computational Biology/Systems and Bioinformatics  (463)    Computational Histopathology  (2)    Meta-analysis of transcriptome data  (8) Conference Coverage with Social Media  (475)    MassBio  (3) coronavirus  (18) COVID-19  (20) CRISPR/Cas9 & Gene Editing  (187)    CRISPR alternative for editing genes without cutting  (14)       CAST – Alternative to CRISPR/Cas9  (3)       Transposon-encoded CRISPR–Cas systems direct RNA-guided DNA integration  (4)    CRISPR applied to Human Germ Line  (10)       Gene Editing Impact on Longevity  (4) CT  (19) Cytokines  (19) Cytoskeleton  (84) Developmental biology  (105) Diabetes Mellitus  (141)    Artificial Pancreas for Type 2 Diabetes  (1)    Artificial Pancreas for Type1 Diabetes  (5)    Gestational diabetes  (2) Diagnostic Immunology  (56) Diagnostics and Lab Tests  (125)    Liquid Biopsy: Circulating Tumor Cells in Urine and Blood  (8) Digital HealthCare – biotech & internet joint ventures  (46) Disease Biology  (328) Disease Biology, Small Molecules in Development of Therapeutic Drugs  (481) DNA repair  (70)    Apoptosis  (11)    Autophagy  (12)    Cell death pathways  (18)    Proteolysis  (8)    Proteosome  (7) Drug Delivery Platform Technology  (153)    Drug Carrier Design  (18)       Medication Remote Compliance Monitoring  (3)    Exosomes: Natural Carriers for siRNA Delivery  (9) Drug Toxicity  (73) Ecosystems & Industrial Concentration in the Medical Device Sector  (172)    Cardiac & Vascular Repair Tools Subsegment  (128)    Exec Compensation in the Cardiac & Vascular Repair Tools Subsegment  (14)    Massachusetts Niche Suppliers and National Leaders  (20) Electronic Health Record  (9) Embryology  (24) Empathy  (6) Endocrine Diseases  (59) Enzyme Induction  (45)    ion-transporting enzyme  (1)    K + -ATPase.  (1)    Na +  (2) Epigenetics and Environmental Factors  (31) Ethics and Leadership  (10) Executive Compensation – Big Pharma  (3) Fat soluble vitamins  (4) FDA  (67) FDA Regulatory Affairs  (353)    FDA, CE Mark & Global Regulatory Affairs: process management and strategic planning – GCP, GLP, ISO 14155  (51)    ISO 10993 for Product Registration: FDA & CE Mark for Development of Medical Devices and Diagnostics  (30) Fetal Ultrasound  (2) Fiction and medicine  (5) Frontiers in Cardiology and Cardiovascular Disorders  (912)    Acute Myocardial Infarction  (60)       Cardiogenic Shock  (4)    Anemia in CVD Patients  (6)    Cardio-Oncology  (4)    Cardiomyopathy  (56)    Cardiovascular Research  (182)       Myocardial metabolism, Myocardial ischemia, myocardial perfusion, Myocardial adenine nucleotide metabolism  (62)       Pre-Clinical Animal Model Development  (23)    Chronic Thromboembolic Pulmonary Hypertension (CTEPH) and Pulmonary Arterial Hypertension (PAH)  (19)    Cost of Inpatient Stay for Cardiovascular Diagnosis for Admission  (1)    Electrophysiology  (107)       Ablation Procedure vs Drug Therapy  (2)       Arrhythmia Detection with Machine Learning Algorithms  (6)       Cardiotoxic Risks of Immune Checkpoint Inhibitors  (1)       Genomic Analysis of EKG Electrophysiology Genomics  (2)       implantable cardioverter defibrillator (ICD) and External Defibrillation  (1)       implantable pacemaker  (2)       Rare heart rhythm disorders and Long QT syndrome (LQTS)  (5)    Epigenetics and Cardiovascular Risks  (54)    Heart Failure (HF)  (45)       Acute coronary syndrome  (6)       congestive heart failure  (17)    Medical Devices R&D and Inventions  (207)       Assist Devices: LV  (3)       RV  (1)       Stents & Tools  (89)       Valves & Tools  (64)    Origins of Cardiovascular Disease  (414)       Atherogenic Processes & Pathology  (175)       Congenital Heart Disease  (34)          Genetic Mutations in Congenital Heart Disease  (4)       inflammation independent of lipid levels  (11)       Systemic Inflammatory Diseases as CVD Risk  (10)    Pharmacotherapy of Cardiovascular Disease  (352)       HTN  (172)       HTN in Youth  (7)       Resident-cell-based  (43)       Subarachnoid Hemorrhage (SAH)  (1)       Transthyretin amyloid cardiomyopathy (ATTR-CM)  (1)    Spontaneous Coronary Artery Dissection (SCAD)  (6)    Stroke  (13)       endovascular thrombectomy  (5)    Vascular Diseases  (19)       mesenteric ischemia  (3) Future Pandemics Inform-graphics  (1) Gastroenterology  (37) Gene Regulation  (225) Gene Regulation and Evolution  (134) Genetics & Innovations in Treatment  (170) Genetics & Pharmaceutical  (198) Genome Biology  (954)    Exosomes  (24)    Gene Therapy & Gene Editing Development  (37)    mRNA Therapeutics  (17)    Mutagenesis  (26)    Single Cell Genomics  (21)    Single-cell sequencing  (17)    Variation in human protein-coding regions  (29) Genomic Endocrinology  (40) Genomic Testing: Methodology for Diagnosis  (412) Genomics Pharmacy  (37) Global Market of Medical Devices Technology  (2) Global Medical Publishers by Country  (3) Global Partnering & Biotech Investment  (44) GLP  (4) Glycobiology: Biopharmaceutical Production  (12) Glycobiology: Biopharmaceutical Production, Pharmacodynamics and Pharmacokinetics  (25) Health Care System by Country  (45)    AI Models in Healthcare  (6)    Centers for Medicare & Medicaid Services  (7)    Health in Israel  (2)    United States  (21)       Hospital-based Medical Innovations  (7)       Medical Recertification and Maintenance of Certification (MOC)  (1) Health Economics and Outcomes Research  (375)    Women Health  (12)       Heart and Brain Disease in Women  (3) Health Law & Patient Safety  (159)    and Bioethics  (13)    Biotechnology  (10)    Health Law Policy  (10) HealthCare IT  (136) Healthcare Reform  (108)    Accountable Care Organizations  (25)    Affordable Care Act  (29)       Repair  (1)       Repeal ACA  (1)       Replace  (1)    Federal Budget Appropriations  (25)    Healthcare costs and reimbursement  (54)    Indigent Nutrition  (13)    Medicare and Medicaid  (20)    Prescription Drugs Costs  (20)    Skilled Nursing Facilities  (6)    Technology Capital Expenses  (15)    Uninsured and Underinsured  (19) Hematology  (99)    Acute lymphocytic leukemia  (18)    Acute myelocytic leukemia  (21)    Hematopoiesis  (48)    Lymphoma  (21) History and physical exam  (6) Human aging  (27) Human Immune System in Health and in Disease  (235) Human Sensation and Cellular Transduction: Physiology and Therapeutics  (20) Image Processing/Computing  (41) Imaging-based Cancer Patient Management  (116) Immuno-Oncology & Genomics  (125)    mRNA platform in Drug DIscovery  (6) Immunodiagnostics  (126)    Cancer-Immune Interactions  (20)    CNS-Immune Interface  (3)    Neuronal Circuits  (4) Immunology  (112)    Adaptive Immune Response to Biomaterials and Tissue Repair  (9)    Antibody Responses Predict Antigen Exposure  (15)    Cytokine Receptor Structure  (7)    Human Antibody Response  (15)    Human Circulating Antibody Repertoire  (9)    Human Naive B Cell Repertoire  (8)    MHC Repertoires for Antigen Prediction  (8)    Protection Against Autoimmune Disease  (7)    Synthetic Immunology: Hacking Immune Cells  (12) Immunotherapy  (119)    CAR-T  (13)    combination immunotherapies.  (11)    Efficacy of Anti-Tumor T Cells  (11)    Engineering Better T Cells  (7)    Immune Engineering  (13)    Immune Modulatory  (13)    Integrin-targeted Combination Immunotherapy  (5)    Modulating Macrophages in Cancer Immunotherapy  (11)    NK Cell-Based Cancer Immunotherapy  (16)    Synergistic Innate and Adaptive Immunotherapy  (13) Income Disparity  (2) Infectious Disease & New Antibiotic Targets  (160)    Antibiotic resistance  (5)    Viral diseases  (37)       Myocarditis  (1) Infectious Disease Immunodiagnostics  (56)    Virology – Vector-borne DIsease  (17) Inflammasome  (26)    Anti-tumor necrosis factor drugs (TNF inhibitors)  (2) Innovation in Immunology Diagnostics  (105)    Universal Immune Cell Therapies (uICT)  (9) Innovations  (182)    R&D Expenditure  (7) Innovations in Neurophysiology & Neuropsychology  (142)    Age and Life Expectancy  (1)    autism spectrum disorder  (1)    Circadian Rhythm and Sleep  (6)    hNPCs  (1)    Nervous System Function  (2)    Relapsing Multiple Sclerosis  (1) Intellectual Property  (74)    Disputes and Settlements  (8)    IP Valuation Models – Pricing Intangible Assets  (4)    Patent Law in Biotech  (12) Intellectual Property, Innovations, Commercialization, Investment in technological breakthrough  (104) International Global Work in Pharmaceutical  (187) Interventional Oncology: Radiofrequency Ablation, Transarterial Chemoembolization, Microwave Ablation and Irreversible Electroporation (IRE)  (12) Interviews with Scientific Leaders  (294)    Albany Medical Center Prize in Medicine and Biomedical Research  (1)    Annual Breakthrough Prize  (2)    Annual Lewis S. Rosenstiel Award  (1)    Awards in Cardiology and Cardiovascular Medicine  (3)    CEOs of Biotech Companies  (2)    Gerald D Aurbach Award for Outstanding Translational Research  (1)    Interviews with Key Opinion Leaders (KOLs)  (6)    James Prize in Science and Technology Integration  (1)    Jessie Stevenson Kovalenko Medal – Medical Sciences  (1)    Lemelson-MIT Prize  (1)    Life Sciences Breakthrough Prize  (2)    Mosteller Statistician of the Year Award  (1)    Mourning the Loss of a Scientific Leader  (2)    National Academy of Sciences AWARDS  (2)    Nobel Prize WInners  (19)    Noble Prize (Not Nobel Prize)  (1)    Paul Marks Prize for Cancer Research  (1)    Russ Prize recognizes bioengineering achievements worldwide  (1)    The Dan David Prize  (5)    Warren Alpert Foundation Prize Recipients  (3)    Wolf Prize  (1)    Wolf Prize in Medicine  (1)    women in science  (3) Investment in Technological Breakthrough  (58) Ionic Transporters Na+  (25) IP Development by LPBI Group Team  (9) IP Development by LPBI Group Team & Other Organizations  (7) ISO 14155  (3) Joint Venture – SBH & M3DP: SOP and Arrangements  (1) Justice & Law  (1) K  (15) Lab-on-a-chip  (2) Landscape  (1) Lasers and photonics  (18)    Midrange IR spectroscopy  (1) Law and Medicine Conflicts  (13) Leadership, Power, Social Interlocking Connections  (13) Lipid metabolism  (108)    Fatty acids  (37)    Lipids  (37)    PCSK9 Inhibitor Therapy  (19) Lipidomics  (10) Liposome  (3) Liver & Digestive Diseases Research  (119) LPBI Group, e-Scientific Media, DFP, R&D-M3DP, R&D-Drug Discovery, US Patents: SOPs and Team Management  (125)    Award Nominations  (5)    BioMed e-Books e-Series by LPBI Group  (6)    Feedback from Investors: LPBI Portfolio of Five Businesses  (2)    LPBI Group Founder – Aviva Lev-Ari  (21)    PhD  (1)    RN  (1) LPBI Management  (14) Massachusetts Academy of Sciences (MAS)    (2) Materials Science & Engineering  (36)    Organic BioElectronics  (1) Math  (13)    Great Discoveries  (7) Mechanical Assist Devices: LVAD  (4) Medical and Population Genetics  (190) Medical Devices R&D Investment  (239)    21st Century Cures Act  (2)    CE Mark & Global Regulatory Affairs: process management and strategic planning – GCP  (13)    Rhythm management device hardware: dual-chamber pacemakers  (1)       Systolic HTN  (1) Medical Imaging Technology  (55) Medical Imaging Technology, Image Processing/Computing, MRI, CT, Nuclear Medicine, Ultra Sound  (160)    Circumferential-Intravascular-Radioluminescence-Photoacoustic-Imaging (CIRPI)  (3)    Echocardiography  (2)    MRI  (17)    Noninvasive Diagnostic Fractional Flow Reserve (FFR) CT  (5)    Ultra Sound  (7) Melatonin & Circadian Regulation  (9) memory loss  (1) Metabolism  (233)    Biochemical pathways  (139)       Enzymes and isoenzymes  (70)          Dehydrogenase  (15)          Kinase  (27)          Phosphatase  (8)          Phosphorylase  (21)          tyrosine decarboxylases  (2)    Inosine nucleotides  (8)    Leloir pathway  (6)    microbiome  (6)    Pentose monophosphate shunt  (14)    Pyridine nucleotides  (28)       Pyridine nucleotide transhydrogenase  (7) Metabolomics  (316) Methods  (37) Mg++  (10) Microbiologial genetics  (33) Microbiology  (65)    Virology  (14) Micronutrients  (15) Microvesicle  (6) Microwave Ablation and Irreversible Electroporation (IRE)  (1) Mobile Healthcare  (3) Molecular Genetics & Pharmaceutical  (373)    Organoids  (3) Monoclonal antibody therapy  (13) Mutant Gene Expression  (41) Myocardial adenine nucleotide metabolism  (5) Myocardial Ischemia  (25) Myocardial Metabolism  (35) Na-K transport  (39) Na-K-ATPase  (26) Nanotechnology for Drug Delivery  (96) Nephrology  (46) Nephrology & Regenerative medicine  (9) Neurodegenerative Diseases  (86)    hNPCs  (3)    MS  (5) Neurohumoral Transmission  (66)    Ca2+ triggered activation  (19)    Calmodulin  (12)    Parkinson’s disease dyskinesia levodopa  (3)    PKC  (13)    Synaptic vesicle  (20) Neurological Diseases  (120) Neuroscience  (126) Next Generation Sequencing (NGS)  (24)    Nanopore sequencing  (1) NIH Common Fund  (1) Nitric Oxide in Health and Disease  (135) Nuclear Medicine  (11) Nutrigenomics  (67) Nutrition  (193)    Nutritional Supplements: Atherogenesis, lipid metabolism  (48) Nutrition and Phytochemistry  (60)    Minerals in Medicine  (4)    Plant extract  (22) Nutrition Disorders  (29) Nutritional Supplements: Atherogenesis  (30) Obesity  (17) Oligonucleotide Therapeutics & Delivery  (6) Oncolytic virus & OncoViro-Therapy  (21)    Synthetic Virology  (1) Organ-on-a-Chip & 3D Printing in Life Sciences  (7) Pain: Etiology, Genetics & Innovations in Treatment  (24) Parasitology  (5)    Malaria  (4)    Tropical diseases  (1) Patents  (34) Patient Experience  (64)    Art therapy  (1)    Hospital reputation  (7)    Humor  (1)    Music therapy  (2)    Pain Alleviation  (7)    Patient Outlook  (28)    Reputation of Interventionist  (4)    Support Staff  (13)    Supportive therapies  (6)       laughfter  (1)    Surgical Procedure  (7) Patient Experience: Personal Memories of Invasive Medical Intervantion  (30) Patient’s Voice: Personal Experience with Invasive Medical Procedures  (18) Perioperative Statins at Noncardiac Surgery  (1) Personal Health Applications: Tech Innovations serves HealhCare  (34) Personalized and Precision Medicine & Genomic Research  (711)    Longevity  (1)    New Drug Approval  (3)    Patient-centered Medicine  (32)       cell-based therapy  (7)       stem cell biology and patient-specific  (6)    Personalized Medicine Coalition  (8)    Precision Cancer Medicine  (16) Phagophore  (1) Pharmaceutical Analytics  (258)    Pharmacologic toxicities  (61) Pharmaceutical Discovery  (104)    Rapid automation of plasma protein pools  (16) Pharmaceutical Drug Discovery  (190)    Drug Development Process  (47)       Drug Discovery Chemistry  (24)    drug repurposing  (8) Pharmaceutical Industry Competitive Intelligence  (336)    Pharmacovigilance  (6)    Value-based Drug Pricing  (8) Pharmaceutical R&D Informatics  (41) Pharmaceutical R&D Investment  (297) Pharmacodynamics and Pharmacokinetics  (22) Pharmacogenomics  (156) Photography Collection  (1) Physics  (12) Placenta  (7) Population genetics  (25) Population Health Management  (188)    Evolution of Biology Through Culture  (13)    U.S. Employment-to-Population Ratio  (8) Population Health Management, Genetics & Pharmaceutical  (618)    COVID-19  (155)       Biomarkers: Inflammation  (36)       Cancer Researchers Fighting COVID-19  (14)       COVID-19 effects on Human Heart  (15)       COVID-19: Pandemic Surgery Guidance  (19)       Economic Impact of Coronavirus Pandemic  (41)       number of asymptomatic infections  (27)       Treatment Protocols for COVID-19  (62)    SARS-CoV-2  (138)       Coronavirus Gene Expression  (65)          SARS-CoV-2 circulating variants   (14)          SARS-CoV-2 Viral Variants  (18)       Glycosylation and its Role in SARS-CoV-2 Viral Pathogenesis  (2)       Immune-Mediation (independent immunopathology: lung and reticuloendothelial system)  (29)       Mechanisms of infection by SARS-CoV-2  (21)       SAR-Cov-2 a vasculotropic (blood vessels) RNA Virus  (35)          SARS-COV2 Hijacking the Complement and Coagulation Systems  (19)       Seasonality & Environmental Factors in Resurgence  (26)       Serology tests for coronavirus antibodies  (44)       T-cell response to SARS-CoV-2 infection  (14)       Vaccinology  (51)          Mechanism of Thrombosis with AZ & J&J COVID-19 Vaccines  (5)       Virtual Drug Molecule Screening targeting SAR-CoV-2 proteins  (8)    Virus Infective Acute Respiratory Syndrome: SARS-CoV  (92) Population Health Management, Nutrition and Phytochemistry  (150) Preimplantation Genetic Diagnosis and Reproductive Genomics  (12) Protein-energy malnutrition  (11) Proteomics  (358)    Amino acids  (51)    Proteins  (132) Pulmonary diseases  (16)    Lung and pulmonology  (15) Pulmonary pathology  (8) Radio Frequency (RF)-based Surgical Solutions  (2) REAL TIME Conference Coverage Twitter’s Hashtags and Handles per Presentation/session  (29) Regenerative Biology and Medicine  (90) Regulated Clinical Trials: Design, Methods, Components and IRB related issues  (265) Reproductive Andrology, Embryology, Genomic Endocrinology, Preimplantation Genetic Diagnosis and Reproductive Genomics  (110) Reproductive Biology & Bio Instrumentation  (75) RNA Biology  (78)    RNA interference (RNAi) therapeutic  (4) RNA Biology, Cancer and Therapeutics  (61) RVAD  (1) SBIR, SBA, NIH, NSF  (2) Schizophrenia  (16) Scientific & Biotech Conferences: Press Coverage  (172) Scientific Publishing  (604)    Curation  (581)       Curation methodology  (38)       De novo synthesis  (16)       Dialectic  (17)       Discovery process  (70)       Evolutionary cognition  (52)       Experimental validation  (90)       Explanatory  (91)       Historical relevance  (71)       Technology Advance Assessment of  (69)       Theoretic convergence  (27)    Open Access Journals  (34) Scientist: Career considerations  (191)    Big Data & Analytics  (13)    Data Science  (10)    Women in Life Sciences  (10) Scoop.it  (19) Sensors & Analytics  (17) Sepsis  (2) Severe Autism  (3) Signaling  (97)    Phosphorylation  (40)    S-nitrosylation  (11)    Ubiquitinylation  (31) Signaling & Cell Circuits  (126) single cell sequencing  (1) Small Molecules in Development of Therapeutic Drugs  (67) Social Development  (15) Specialized 3D BioPrinters (Cornea  (1) Statistical Methods for Research Evaluation  (136) Stem Cells for Regenerative Medicine  (174)    Cardiac muscle regeneration  (18)    Competition in regenerative stem cell science  (17)    Human neural progenitor cells  (7)    Skeletal muscle regeneration  (8) STORM  (2) Stress Disorders  (18) Substance Abuse  (4) Systemic Inflammatory Response Related Disorders  (157)    Inflammatory Pathophysiology  (5) Technology Transfer: Biotech and Pharmaceutical  (351) therapeutics  (2) Tissue Engineering and Regenerative Medicine  (21) Tissue Microenvironment  (3) Transarterial Chemoembolization  (2) Transcriptomics  (42) Transformative Technologies in Healthcare  (12) Translational Science  (221)    Best evidence  (52)    Bias measurement tools  (2)    Evidence-based decision-making  (26)    Inferential analysis  (25)    Intra-rater error  (1)    Quality Assurance  (8)    Random Error  (2)    Systematic Error (Bias)  (5)    Total error  (2)    Translational Effectiveness  (49)    Translational Research  (88) Trends in Global Economy  (5) Uncategorized  (1,008) Unfolded Protein Response (UPR)  (5) US and Global Economy: Trends and Findings  (8) Venture Capital  (43)    Income Geographic Distribution  (2)    Institutional Capital Raised by Female Founders  (4) virology  (9) Vision  (6) Voices of Patients and Healthcare Providers  (21) Water Transporters  (7) Wearable Tech + Digital Health  (3) Anemia  (21) Neutropenia  (8) Neutrophilia  (9) Platelet count disorder  (9) Folate and B12  (7) Iron deficiency  (5) Myelodysplasia  (12) Myelofibrosis  (10)

• Meta

  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org

• • 2012pharmaceutical
  • Amandeep Kaur
  • Aashir Awan, Phd
  • Abhisar Anand
  • Adina Hazan
  • Alan F. Kaul, PharmD., MS, MBA, FCCP
  • alexcrystal6
  • anamikasarkar
  • apreconasia
  • aviralvatsa
  • David Orchard-Webb, PhD
  • danutdaagmailcom
  • Demet Sag, Ph.D., CRA, GCP
  • Dror Nir
  • dsmolyar
  • Ethan Coomber
  • evelinacohn
  • Gail S Thornton
  • Irina Robu
  • jayzmit48
  • jdpmd
  • jshertok
  • kellyperlman
  • Ed Kislauskis
  • larryhbern
  • Madison Davis
  • marzankhan
  • megbaker58
  • ofermar2020
  • Dr. Pati
  • pkandala
  • Rosalind Codrington, PhD
  • ritusaxena
  • Rick Mandahl
  • sjwilliamspa
  • Srinivas Sriram
  • stuartlpbi
  • Dr. Sudipta Saha
  • tildabarliya
  • vaishnavee24
  • zraviv06
  • zs22