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Posts Tagged ‘genomics’
Cancer Initiatives
Posted in Big Data, Big Data & Analytics, CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Genomics, Cancer Informatics, Clinical Genomics, Data Science, tagged Cancer Genomics, Cancer research, Childhood cancer, data sharing, genomics, Joe Biden, Moonshot, pediatric cancer on April 23, 2016| Leave a Comment »
Cancer initiatives
Larry H. Bernstein, MD, FCAP, Curator
LPBI
Updated 4/12/2019
AACR 2016: Biden Calls for Overhauling Cancer Research Incentives
The first priority cited by the vice president was data sharing. Biden defended the concept as essential to advancing the process of cancer research and countered a January 21 New England Journal of Medicine editorial in which editor-in-chief Jeffrey Drazen, M.D., contended that data sharing could breed data “parasites.”
Four days later, Dr. Drazen clarified NEJM’s position by adding that with “appropriate systems” in place, “we will require a commitment from authors to make available the data that underlie the reported results of their work within 6 months after we publish them.”
Other priorities Biden said should serve as the basis of new incentives:
- Involve patients in clinical trial design—Raising awareness of trials, and allowing patients to participate in how they are designed and conducted, could help address the difficulty of recruiting patients for studies. Only 4% of cancer patients are involved in a trial, he said.
- “Let scientists do science”—Biden contrasted unfavorably NIH’s roughly 1-year process for decisions on grants to that of the Prostate Cancer Foundation, which limits grant applications to 10 pages and decides on those funding requests within 30 days: “Why is it that it takes multiple submissions and more than a year to get an answer from us?” Biden said.
- Encourage grants from younger researchers—Biden decried the current professional system under which younger researchers are sidetracked for years doing administrative work in labs before they can pursue their own research grants: “It’s like asking Derek Jeter to take several years off to sell bonds to build Yankee Stadium,” the VP quipped.
- Measure progress by outcomes—Rather than the quantity of research papers generated by grants, Biden said, “what you propose and how it affects patients, it seems to me, should be the basis of whether you continue to get the grant.”
- Promote open-access publication of results—Biden criticized academic publishing’s reliance on paid-subscription journals that block content behind paywalls and which own data for up to a year. He contrasted that system with the Bill and Melinda Gates Foundation’s stipulation that the research it funds be published in an open-access journal and be freely available once published.
- Reward verification—Research that verifies results through replication should be encouraged, Biden said, which acknowledging that few people now get such funding.
Biden recalled how following Beau’s diagnosis with cancer, he and his wife Jill Biden, Ed.D., who introduced the VP at the AACR event, “had access to the best doctors in the world.”
“The more we talked to them, the more we understood that we are on the cusp of a real inflection point in the fight against cancer.”
Updated 4/12/2019
Pediatric Cancer Initiatives
Data Sharing for Pediatric Cancers: President Trump Announces Pledge to Fight Childhood Cancer Will Involve Genomic Data Sharing Effort
In the journal Science, Drs. Olena Morozova Vaske ( and David Haussler University of California, Santa Cruz) recently wrote an editorial entitled “Data Sharing for Pediatric Cancers“, in which they discuss the implications of President Trump’s intentions to increase funding for pediatric cancers with a corresponding effort for genomic data sharing. Also discussed is the current efforts on pediatric genomic data sharing as well as some opinions on coordinating these efforts on a world-wide scale to benefit the patients, researchers, and clinicians.
The article is found below as it is a very good read on the state of data sharing in the pediatric cancer field and offers some very good insights in designing such a worldwide system to handle this data sharing, including allowing patients governance over their own data.
Last month, in a conference call held by the U.S. Department of Health and Human Services and National Institutes of Health (NIH), it was revealed that a large focus of President Trump’s pledge to fund childhood cancer research will be genomic data sharing. Although the United States has only 5% of the world’s pediatric cancer cases, it has disproportionately more resources and access to genomic information compared to low-income countries. We hope that the spotlight on genomic data sharing in the United States will galvanize the world’s pediatric cancer community to elevate genomic data sharing to a level where its full potential can finally be realized.
Pediatric cancers are rare, affecting 50 to 200 children per million a year worldwide. Thus, with 16 different major types and many subtypes, no cancer center encounters large cohorts of patients with the same diagnosis. To advance their understanding of particular cancer subtypes, pediatric oncologists must have access to data from similar cases at other centers. Because subtypes of pediatric cancer are rare, assembling large cohorts is a limiting factor in clinical trials as well. Here, too, data sharing is the first critical step.
Typically, pediatric cancers don’t have the number of mutations that make immunotherapies effective, and only a few subtypes have recurrent mutations that can be used to develop gene-targeted therapies. However, the abnormal expression level of genes gives a vivid picture of genetic misregulation, and just sharing this information would be a huge step forward. Using gene expression and mutation data, analysis of genetic misregulation in different pediatric cancer subtypes could point the way to new treatments.
A major challenge in genomic data sharing is the patient’s young age, which frequently precludes an opportunity for informed consent. Compounding this, the rarity of subtypes requires the aggregation of patients from multiple jurisdictions, raising barriers to assembling large representative data sets. A greater percentage of children than adults with cancer participate in research studies, and children often participate in multiple studies. However, this means that data collected on individual children may be found at multiple institutions, creating difficulties if there are no standards for data sharing.
To enable effective sharing of genomic and clinical data, the Global Alliance for Genomics and Health has developed the Key Implications for Data Sharing (KIDS) framework for pediatric genomics. The recommendations include involving children in the data-sharing decision-making process and imposing an ethical obligation on data generators to provide children and parents with the opportunity to share genomic and clinical information with researchers. Although KIDS guidelines are not legally binding, they could inform policy development worldwide.
To advance the sharing culture, along with the NIH, pediatric cancer foundations such as the St. Baldrick’s Foundation and Alex’s Lemonade Stand Foundation have incorporated genomic data-sharing requirements into their grants processes. Researchers and clinicians around the world have created dozens of pediatric cancer genomic databases and portals, but pulling these together into a larger network is problematic, especially for patients with data at more than one institution, as patient identifiers are stripped from shared data. However, initiatives like the Children’s Oncology Group’s Project Every Child and the European Network for Cancer Research in Children and Adolescents’ Unified Patient Identity may resolve this issue.
We urge the creators of pediatric cancer genomic resources to collaborate and build a real-time federated data-sharing system, and hope that the new U.S. initiative will inspire other countries to link databases rather than just create new siloed regional resources. The great advances in information technology and life sciences in the last decades have given us a new opportunity to save our children from the scourge of cancer. We must resolve to use them.
Source: Data sharing for pediatric cancers.
NIH-NCI Initiative: International collaboration to create new cancer models to accelerate research
LIVE 1:45 pm – 3:10 pm 4/25/2016 Forum Opening, A War or Moonshot: Where Do We Stand? Creating a Disruptive Cancer Pipeline @2016 World Medical Innovation Forum: CANCER, April 25-27, 2016, Westin Hotel, Boston
Will President Obama’ s Cancer Immunotherapy Colloquium (dubbed Moonshot) mean Government is Fully Behind the War on Cancer or have we heard this before?
Exome Aggregation Consortium (ExAC), generated the largest catalogue so far of variation in human protein-coding regions: Sequence data of 60,000 people, NOW is a publicly accessible database
Healthcare conglomeration to access Big Data and lower costs
BioMEMS The Market aspects of Oligonucleotide-Chips, Products, Applications and Competition, January 21, 2016
Posted in 3D Printing for Medical Application, Big Data, Bio Instrumentation in Experimental Life Sciences Research, BioIT: BioInformatics, BioIT: BioInformatics, NGS, Clinical & Translational, Pharmaceutical R&D Informatics, Clinical Genomics, Cancer Informatics, BioTechnology - Venture Creation, BioTechnology - Venture Creation, Venture Capital, CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Informatics, Cell Biology, Cell Biology, Signaling & Cell Circuits, Chemical Genetics, Commercialization, Computational Biology/Systems and Bioinformatics, CRISPR/Cas9 & Gene Editing, Digital HealthCare – biotech & internet joint ventures, DNA repair, Exosomes, FDA Regulatory Affairs, Frontiers in Cardiology and Cardiovascular Disorders, Genetics & Pharmaceutical, Genome Biology, Genomic Expression, Genomic Testing: Methodology for Diagnosis, Intelligent Information Systems, MEMS, Mutagenesis, Proteosome, tagged DNA Sequencing, gene expression, genetics, genome, genomics, Proteomics, qPCR & SNP Genotyping Custom Oligonucleotides - highly sophisticated oligonucleotides - simple PCR primers Oligos in Plates RNA FISH, RNA, THERMO SCIENTIFIC APPLIED BIOSYSTEMS INVITROGEN FISHER SCIENTIFIC UNITY LAB SERVICES on February 2, 2016| Leave a Comment »
BioMEMS The Market aspects of Oligonucleotide-Chips, Products and Applications, Competition, January 21, 2016
Curator: Gérard LOISEAU, ESQ
BioMEMS
The Market aspects of Oligonucleotide-Chips, Products, Applications, Competition
January 21, 2016
2015-2020
The oligonucleotide synthesis market is expected to reach USD 1.918.6Billion at a CAGR of 10.1% by 2020 from USD 1.078.1Billion in 2015.
SOURCE
MARKETSANDMARKETS marketsandmarkets.com/
PLAYERS
- Agilent Technologies Inc.
- BioAutomation Corp.
- Biosearch Technologies
- Gen9 Inc.
- GenScript Inc.
- Illumina Inc.
- Integrated DNA Technologies
- New England Biolabs Inc.
- Nitto Denko Avecia Inc.
- OriGene Technologies Inc.
- Sigma-Aldrich Corporation
- Thermo Fisher Scientific Inc.
- TriLink Biotechnologies
Agilent Technologies CA NYSE :A
- Agilent was created as a spin off from Hewlett-Packard Company in 1999.
- Agilent Technologies Inc. is engaged in the life sciences, diagnostics and applied chemical markets. The Company provides application focused solutions that include instruments, software, services and consumables for the entire laboratory workflow. The Company has three business segments:
the life sciences and applied markets business,
the diagnostics and genomics business, and
the Agilent Cross Lab business
- The Company’s life sciences and applied markets business segment brings together the Company’s analytical laboratory instrumentation and informatics.
- The Company’s diagnostics and genomics business segment consists of three businesses: the Dako business, the genomics business and the nucleic acid solutions business.
- The Company’s Agilent Cross Lab business segment combines its analytical laboratory services and consumables business
SOURCE
PRODUCTS AND SERVICES
https://www.agilent.com/en-us/default#collapse-0
- October 09, 2015 03:21 PM Eastern Daylight Time
- CARPINTERIA, Calif.–(BUSINESS WIRE)–Dako, an Agilent Technologies company and a worldwide provider of cancer diagnostics, today announced the U.S. Food and Drug Administration has approved a new test that can identify PD-L1 expression levels on the surface of non-small cell lung cancer tumor cells and provide information on the survival benefit with OPDIVO® (nivolumab) for patients with non-squamous NSCLC.
SOURCE
BUSINESS WIRE busibesswire.com/
BioAutomation Corp. TX
PRODUCTS AND SERVICES
- DNA and RNA synthesis reagents for the MerMades
Note: The MerMade 192E Oligonucleotide synthesizer is designed to synthesize DNA, RNA & LNA oligonucleotides in a column format
PARTNERSHIPS
- HONGENE BIOTECH : BIOAUTOMATION is the exclusive distributor for the Americas
- EMD MILLIPORE
- BIOSEARCH TECHNOLOGIES
DISTRIBUTORS
- LINK TECHNOLOGIES : UK
- AME BIOSCIENCE : UK
- BOSUNG SCIENCE : KOREA
- DNA CHEM : CHINA
- WAKO : JAPAN
- ACE PROBE : INDIA
SOURCE
Biosearch Technologies CA
PRODUCTS
- qPCR & SNP Genotyping
- Custom Oligonucleotides
- – highly sophisticated oligonucleotides
- – simple PCR primers
- Oligos in Plates
- RNA FISH
- Synthesis Reagents
- Immunochemicals
- Primers
- Probes
- Large-Scale Synthesis Oligos
- Intermediate-Scale Synthesis Oligos
SERVICES
- GMP & Commercial Services
- OEM & Kit Manufacturing
- qPCR Design Collaborations
DISTRIBUTORS
Argentina | Australia | Austria | Brazil | Canada |Chile | China | Colombia | Czech Republic | Denmark | Ecuador | Finland | Germany |Hong Kong | Israel | Italy | Japan | Korea | Malaysia | Mexico | New Zealand | Norway | Paraguay | Peru| Philippines | Poland | Romania | Singapore | South Africa | Spain | Sweden |Switzerland | Taiwan ROC | Thailand | Turkey | United Kingdom | Uruguay | Vietnam
SOURCE
biosearchtech.com/
Gen9 Inc. MA
PRODUCTS
Gen9 is building on advances in synthetic biology to power a scalable fabrication capability that will significantly increase the world’s capacity to produce DNA content. The privately held company’s next-generation gene synthesis technology allows for the high-throughput, automated production of DNA constructs at lower cost and higher accuracy than previous methods on the market. Founded by world leaders in synthetic biology, Gen9 aims to ensure the constructive application of synthetic biology in industries ranging from enzyme and chemical production to pharmaceuticals and biofuels.
SERVICES
- Synthetic Biology
- Gene Synthesis Services
- Variant Libraries
- Gene Sequence Design Services
INVESTORS
- Agilent Technologies : Private Equity
- CAMBRIDGE, Mass. and SANTA CLARA, Calif. — April 24, 2013 —Gen9 Receives $21 Million Strategic Investment from Agilent Technologies
SOURCE
gen9bio.com/
GenScript Inc. NJ
- GenScript is the largest gene synthesis provider in the USA
- GenScript Corporation, a biology contract research organization, provides biological research and drug discovery services to pharmaceutical companies, biotech firms, and research institutions in the United States, Europe, and Japan. It offers bio-reagent, custom molecular biology, custom peptide, protein production, custom antibody production, drug candidates testing, assay development and screening, lead optimization, antibody drug development, gene synthesis, and assay-ready cell line production services.
- The company also offers molecular biology, peptide, protein, immunoassay, chemicals, and cell biology products. It offers its products through distributors in Tokyo, Japan; and Seoul, Korea. GenScript Corporation has a strategic partnership with Immunologix, Inc. The company was founded in 2002 and is based in Piscataway, New Jersey. It has subsidiaries in France, Japan, and China.
Note: As of October 24, 2011, Immunologix, Inc. was acquired by Intrexon Corporation. Immunologix, Inc. develops and produces antibody-based therapeutics for various biological targets. It produces human monoclonal antibodies against viral, bacterial, and tumor antigens, as well as human auto antigens.
Intrexon Corporation, founded in 1998, is a leader in synthetic biology focused on collaborating with companies in Health, Food, Energy, Environment and Consumer sectors to create biologically based products that improve quality of life and the health of the planet.
PRODUCTS AND SERVICES
- Gene synthesis
- Antibody services
- Protein Services
- Peptide services
INVESTORS
Note: The Balloch Group (‘TBG’) was established in 2001 by Howard Balloch (Canada‘s ambassador to China from 1996 to 2001). TBG has since grown from a market-entry consultancy working with North American clients in China to a leading advisory and merchant banking firm serving both domestic Chinese companies and multinational corporations. TBG was ranked as the number one boutique investment bank in China by ChinaVenture in 2008.
Kleiner, Perkins, Caufield and Byers
Illumina Inc. CA
Monica Heger : SAN FRANCISCO (GenomeWeb) – Illumina today announced two new next-generation sequencing platforms, a targeted sequencing system called MiniSeq and a semiconductor sequencer that is still under development.
Illumina disclosed the initiatives during a presentation at the JP Morgan Healthcare conference held here today. During the presentation, Illumina CEO Jay Flatley also announced a new genotyping array called Infinium XT; a partnership with Bio-Rad to develop a single-cell sequencing workflow; preliminary estimates of its fourth-quarter 2015 revenues; and an update on existing products. The presentation followed the company’s announcement on Sunday that it has launched a new company called Grail to develop a next-generation sequencing test for early cancer detection from patient blood samples.
The MiniSeq system, which is based on Illumina’s current sequencing technology, will begin shipping early this quarter and has a list price of $49,500. It can perform a variety of targeted DNA and RNA applications, from single-gene to pathway sequencing, and promises “all-in” prices, including library prep and sequencing, of $200 to $300 per sample, Flatley said during the JP Morgan presentation.
SOURCES
http://investor.biospace.com/biospace/quote?Symbol=ILMN
PRODUCTS AND SERVICES
- Mid to large scale manufacturing assets
- Analytical Labs
- Pre-clinical
- Clinical
- Launched products
COMPETITORS
https://finance.yahoo.com/q/co?s=ILMN+Competitors Tue, Feb 2, 2016, 2:16pm EST – US Markets
| ILMN | PVT1 | AFFX | LMNX | Industry | |
|---|---|---|---|---|---|
| Market Cap: | 22.75B | N/A | 1.13B | 835.66M | 134.14M |
| Employees: | 3,700 | 10,000 | 1,200 | 745 | 45.00 |
| Qtrly Rev Growth (yoy): | 0.14 | N/A | -0.01 | 0.07 | 0.18 |
| Revenue (ttm): | 2.14B | 3.80B1 | 357.74M | 235.37M | 8.47M |
| Gross Margin (ttm): | 0.73 | N/A | 0.63 | 0.71 | 0.58 |
| EBITDA (ttm): | 770.84M | N/A | 46.64M | 52.99M | -12.31M |
| Operating Margin (ttm): | 0.30 | N/A | 0.08 | 0.17 | -1.62 |
| Net Income (ttm): | 510.36M | 430.90M1 | 11.22M | 39.29M | N/A |
| EPS (ttm): | 3.42 | N/A | 0.13 | 0.93 | -0.34 |
| P/E (ttm): | 45.43 | N/A | 104.40 | 20.91 | 25.33 |
| PEG (5 yr expected): | 2.68 | N/A | 4.66 | 0.55 | N/A |
| P/S (ttm): | 10.87 | N/A | 3.13 | 3.45 | 13.65 |
Pvt1 = Life Technologies Corporation (privately held)
AFFX = Affymetrix Inc.
LMNX = Luminex Corporation
Integrated DNA Technologies (IDT) IOWA + CA
Integrated DNA Technologies, Inc. (IDT), the global leader in nucleic acid synthesis, serving all areas of life sciences research and development, offers products for a broad range of genomics applications. IDT’s primary business is the production of custom, synthetic nucleic acids for molecular biology applications, including qPCR, sequencing, synthetic biology, and functional genomics. The company manufactures and ships an average of 44,000 custom nucleic acids per day to more than 82,000 customers worldwide. For more information, visit idtdna.com.
PRODUCTS AND SERVICES
- DNA & RNA Synthesis
- Custom DNA Oligos 96- & 384-Well Plates Ultramer Oligos Custom RNA Oligos SameDay Oligos HotPlates ReadyMade Primers Oligo Modifications Freedom
- Dyes GMP for Molecular Diagnostics Large Scale Oligo Synthesis
Note : Skokie, IL – December 1, 2015. Integrated DNA Technologies Inc. (“IDT”), the global leader in custom nucleic acid synthesis, has entered into a definitive agreement to acquire the oligonucleotide synthesis business of AITbiotech Pte. Ltd. in Singapore (“AITbiotech”). With this acquisition, IDT expands its customer base across Southeast Asia making it possible for these additional customers to now have access to its broad range of products for genomic applications. AITbiotech will continue operations in its other core business areas.
New England Biolabs Inc.
MA
PRODUCTS AND SERVICES
- Restriction Endonucleases
- PCR, Polymerases & Amplification Technologies
- DNA Modifying Enzymes
- Library Preparation for Next Generation Sequencing
- Nucleic Acid Purification
- Markers & Ladders
- RNA Reagents
- Gene Expression
- Cellular Analysis
SOURCE
Nitto Denko Avecia Inc. MA
With over 20 years of experience in oligonucleotide development and production, and over 1000 sequences manufactured, Avecia has played an integral role in the advancing oligo therapeutic market. Our mission is to continue to build value for our customers, as they progress through drug development into commercialization. And as a member of the Nitto Denko Corporation (nitto.com), Avecia is committed to the future of the oligonucleotide market. We are driven by innovative ideas and flexible solutions, designed to provide our customers with the best in service, quality, and technology.
SOURCE
Note : 1918 Nitto Electric Industrial Co., Ltd. forms in Ohsaki, Tokyo, to produce electrical insulating materials in Japan.
2011 Acquires Avecia Biotechnology Inc. in the U.S.A.
OriGene Technologies Inc. CA
OriGene Technologies, Inc. develops, manufactures, and sells genome wide research and diagnostic products for pharmaceutical, biotechnology, and academic research applications. The company offers cDNA clones, including TrueORF cDNA, viral ORF, destination vectors, TrueClones (human), TrueClones (mouse), organelle marker plasmids, MicroRNA tools, mutant and variant clones, plasmid purification kits, transfection reagents, and gene synthesis service; and HuSH shRNA, siRNA, miRNA, qPCR reagents, plasmid purification products, transfection reagents, PolyA+ and total RNA products, first-strand cDNA synthesis, and CRISPR/Cas9 genome products. It also provides proteins and lysates, such as purified human proteins, over-expression cell lysates, mass spectrometry standard proteins, and protein purification reagents; UltraMAB IHC antibodies, TrueMAB primary antibodies, anti-tag and fluorescent proteins, ELISA antibodies, luminex antibodies, secondary antibodies, and controls and others; and anatomic pathology products, including IHC antibodies, detection systems, and IHC accessories
The company offers luminex and ELISA antibody pairs, autoantibody profiling arrays, ELISA kits, cell assay kits, assay reagents, custom development, and fluorogenic cell assays; TissueFocus search tools; tissue sections; tissue microarrays, cancer protein lysate arrays, TissueScan cDNA arrays, tissue blocks, and quality control products, as well as tissue RNA, DNA, and protein lysates; and lab essentials. Its research areas include cancer biomarker research, RNAi, pathology IHC, stem cell research, ion channels, and protein kinase products. The company provides gene synthesis and molecular biology services, genome editing, custom cloning, custom shRNA, purified protein, monoclonal antibody development, and assay development. It sells its products through distributors worldwide, as well as online. OriGene Technologies, Inc. was incorporated in 1995 and is based in Rockville, Maryland.
SOURCE
PRODUCTS AND SERVICES
- cDNA Clones Human, mouse, rat Expression validated
- RNAi shRNA, siRNA microRNA & 3’UTR clones
- Gene Synthesis Codon optimization Variant libraries
- Real-time PCR Primer pairs, panels SYBR green reagents
- Lab Essentials DNA/RNA purification kits Transfection reagents
- Anatomic Pathology UltraMAB antibodies Specificity validated
- Recombinant Proteins 10,000 human proteins from mammalian system
- Antibodies TrueMAB primary antibodies Anti-tag antibodies
- Assays and Kits ELISA & Luminex antibodies Autoantibody Profiling Array
- Cancer & Normal Tissues Pathologist verified gDNA, RNA, sections, arrays
SOURCE
origene.com/
Sigma-Aldrich Corporation MI
Louis, MO – November 18, 2015 Merck KGaA, Darmstadt, Germany, Completes Sigma-Aldrich Acquisition
Merck KGaA today announced the completion of its $17 billion acquisition of Sigma-Aldrich, creating one of the leaders in the $130 billion global industry to help solve the toughest problems in life science.
Press Release: 18-Nov-2015
Letter to our Life Science Customers from Dr. Udit Batra
The life science business of Merck KGaA, Darmstadt, Germany brings together the world-class products and services, innovative capabilities and exceptional talent of EMD Millipore and Sigma-Aldrich to create a global leader in the life science industry.
“Everything we do starts with our shared purpose – to solve the toughest problems in life science by collaborating with the global scientific community.
This combination is built on complementary strengths, which will enable us to serve you even better as one organization than either company could alone.
This means providing a broader portfolio with a catalog of more than 300,000 products, including many of the most respected brands in the industry, greater geographic reach, and an unmatched combination of industry-leading capabilities.”
PRODUCTS AND SERVICES
http://www.sigmaaldrich.com/configurator/servlet/DesignCenter?btnOpen_0.x=1
http://www.sigmaaldrich.com/content/dam/sigma-aldrich/common/quality-products.jpg
Thermo Fisher Scientific Inc. MA NYSE :TMO
Thermo Fisher Scientific Inc. is a provider of analytical instruments, equipment, reagents and consumables, software and services for research, manufacturing, analysis, discovery and diagnostics. The company operates through four segments: Life Sciences Solutions, provides reagents, instruments and consumables used in biological and medical research, discovery and production of new drugs and vaccines as well as diagnosis of disease; Analytical Instruments, provides instruments, consumables, software and services that are used in the laboratory; Specialty Diagnostics, offers diagnostic test kits, reagents, culture media, instruments and associated products, and Laboratory Products and Services, offers self-manufactured and sourced products for the laboratory.
SOURCE
PRODUCTS AND SERVICES
- Oligos Value – Standard – Plate
- Primers
- Probes
- Nucleotides
BRANDS
- THERMO SCIENTIFIC
- APPLIED BIOSYSTEMS
- INVITROGEN
- FISHER SCIENTIFIC
- UNITY LAB SERVICES
PARTNERSHIPS
AFFYMETRIX : NASDAQ : AFFX : affymetrix.com/
WALTHAM, Mass. & SANTA CLARA, Calif.–(BUSINESS WIRE)–Jan. 8, 2016– Thermo Fisher Scientific Inc. (NYSE:TMO), the world leader in serving science, and Affymetrix Inc. (NASDAQ:AFFX), a leading provider of cellular and genetic analysis products, today announced that their boards of directors have unanimously approved Thermo Fisher’s acquisition of Affymetrix for $14.00 per share in cash. The transaction represents a purchase price of approximately $1.3 billion.
SOURCE
TriLink Biotechnologies CA
PRODUCTS
Oligonucleotides
- DNA Oligos
- RNA Oligos
- Modified Oligos
- Specialty Oligos
Nucleotides
- NTPs (Nucleoside Triphosphates)
- Biphosphates
- Monophosphates
SERVICES
- Custom Chemistry
- Reagents
- Aptamers
PARTNERSHIPS
- LIFE TECHNOLOGIES,
- TERMO FISHER SCIENTIFIC since July 2015 thermofisher.com/
- GENMARK genmarkdx.com/
SOURCE
Other related articles published in this Open Access Online Scientific Journal include the following:
Gene Editing: The Role of Oligonucleotide Chips
http://pharmaceuticalintelligence.com/2016/01/07/gene-editing-the-role-of-oligonucleotide-chips/
Gene Editing for Exon 51: Why CRISPR Snipping might be better than Exon Skipping for DMD
The world’s most innovative intersection
Posted in BioIT: BioInformatics, NGS, Clinical & Translational, Pharmaceutical R&D Informatics, Clinical Genomics, Cancer Informatics, tagged gene biology, gene sequencing, genetics, genomics, Harvard, MIT on January 2, 2016| Leave a Comment »

The world’s most innovative intersection
Reported by: Irina Robu
Vassar Street and Main Street, in the new world’s Cambridge, Massachusetts, would be a leading candidate.
According to the article published in Wired Magazine in November 2015 “when the Whitehead got too small for genomicist Eric Lander’s ambitions, he launched a flashier and brasher newcomer next door. The Broad Institute’s gargantuan gleaming glass lobby is filled with early gene-sequencing instruments. Its multimedia screens boast that this is one of the world’s largest gene-sequencing and research factories. The Broad’s strategy is different from that of the Whitehead; instead of concentrating a few in an ultra-exclusive bioclub, Broad bridges MIT, Harvard and most of the hospitals in Boston. Its 2,000 members extend outwards, partnering with tens of thousands of others globally. Those working at the Broad are not averse to commerce; its director alone helped to build Foundation Medicine, Verastem, Millennium, Fidelity Biosciences, Courtagen and Aclara among many other leading companies.
The sixth building on this extraordinary corner, Novartis, focuses on private research, and represents a huge migration from Basel in Switzerland towards the MIT campus, becoming Cambridge’s largest employer. Pfizer, Sanofi, Amgen, Biogen-Idec and hundreds of others cluster nearby. “
Source
Brain Development
Posted in Behavioral Genetics, Biological Networks, Gene Regulation and Evolution, Curation, Developmental biology, Genome Biology, Neuroscience, tagged adult neurogenesis, bHLH, brain development, genomics, interneurons, olfaction, postnatal electroporation, Transcription factor on November 19, 2015| Leave a Comment »
Brain Development
Larry H. Bernstein, MD, FCAP, Curator
LPBI
Updated 11/22/2015
Single Gene Found to Play Huge Role in Brain Development

Figure 1: Cells in which NeuroD1 is turned on are reprogrammed to become neurons. Cell nuclei are shown in blue (Höchst stain) and neurons are shown in red (stained with neuronal marker TUJ1). [A. Pataskar,J. Jung, V. Tiwari]
Researchers at the Institute of Molecular Biology (IMB) in Mainz, Germany say they have unraveled a complex regulatory mechanism that explains how a single gene can drive the formation of brain cells. Their study (“NeuroD1 reprograms chromatin and transcription factor landscapes to induce the neuronal program”), published in The EMBO Journal, is an important step toward a better understanding of how the brain develops. It also harbors potential for regenerative medicine, according to the scientists.
Neurodegenerative disorders, such as Parkinson’s disease, are often characterized by an irreversible loss neurons. Unlike many other cell types in the body, neurons are generally not able to regenerate by themselves, so if the brain is damaged, it stays damaged. One hope of developing treatments for this kind of damage is to understand how the brain develops in the first place, and then try to imitate the process. However, the brain is also one of the most complex organs in the body, and very little is understood about the molecular pathways that guide its development.

Figure 2: Diagram showing how NeuroD1 influences the development of neurons. During brain development, expression of NeuroD1 marks the onset of neurogenesis. NeuroD1 accomplishes this via epigenetic reprogramming: neuronal genes are switched on, and the cells develop into neurons. TF: transcription factor; V: ventricle; P: pial surface. [A. Pataskar, J. Jung, V. Tiwari]
ijay Tiwari, Ph.D, and his group have been investigating a central gene in brain development, NeuroD1. This gene is expressed in the developing brain and marks the onset of neurogenesis.
In their research article, Dr. Tiwari and his colleagues have shown that during brain development NeuroD1 is not only expressed in brain stem cells but acts as a master regulator of a large number of genes that cause these cells to develop into neurons. They used a combination of neurobiology, epigenetics, and computational biology approaches to show that these genes are normally turned off in development, but NeuroD1 activity changes their epigenetic state in order to turn them on. Strikingly, the researchers show that these genes remain switched on even after NeuroD1 is later switched off. They further show that this is because NeuroD1 activity leaves permanent epigenetic marks on these genes that keep them turned on, in other words it creates an epigenetic memory of neuronal differentiation in the cell.
“Our research has shown how a single factor, NeuroD1, has the capacity to change the epigenetic landscape of the cell, resulting in a gene expression program that directs the generation of neurons,” wrote the screenplay investigators.
“This is a significant step toward understanding the relationship between DNA sequence, epigenetic changes and cell fate. It not only sheds new light on the formation of the brain during embryonic development but also opens up novel avenues for regenerative therapy,” says Dr. Tiwari.
NEUROD1 neuronal differentiation 1 [ Homo sapiens (human) ]
Official Symbol NEUROD1 provided by HGNC
Official Full Name neuronal differentiation 1 provided by HGNC
Primary source HGNC:HGNC:7762 See related Ensembl:ENSG00000162992; HPRD:03428; MIM:601724; Vega:OTTHUMG00000132583
Gene type protein coding
RefSeq status REVIEWED
OrganismHomo sapiens
Lineage Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Euarchontoglires; Primates; Haplorrhini; Catarrhini; Hominidae; Homo
Also known asBETA2; BHF-1; MODY6; NEUROD; bHLHa3
Summary This gene encodes a member of the NeuroD family of basic helix-loop-helix (bHLH) transcription factors. The protein forms heterodimers with other bHLH proteins and activates transcription of genes that contain a specific DNA sequence known as the E-box. It regulates expression of the insulin gene, and mutations in this gene result in type II diabetes mellitus. [provided by RefSeq, Jul 2008]
https://en.wikipedia.org/wiki/NEUROD1
Neurogenic differentiation 1 (NeuroD1), also called β2,[1] is a transcription factor of the NeuroD-type. It is encoded by the human gene NEUROD1.
It is a member of the NeuroD family of basic helix-loop-helix (bHLH) transcription factors. The protein forms heterodimers with other bHLH proteins and activates transcription of genes that contain a specific DNA sequence known as the E-box. It regulates expression of the insulin gene, and mutations in this gene result in type II diabetes mellitus.[2]
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NeuroD1 induces terminal neuronal differentiation in olfactory neurogenesis
Camille Boutin, Olaf Hardt, Antoine de Chevigny, Nathalie Coré, Sandra Goebbels, Ralph Seidenfaden, Andreas Bosio and Harold Cremer
PNAS Jan 19, 2010; 107(3): 1201–1206. http://dx.doi.org:/10.1073/pnas.0909015107
After their generation and specification in periventricular regions, neuronal precursors maintain an immature and migratory state until their arrival in the respective target structures. Only here are terminal differentiation and synaptic integration induced. Although the molecular control of neuronal specification has started to be elucidated, little is known about the factors that control the latest maturation steps. We aimed at identifying factors that induce terminal differentiation during postnatal and adult neurogenesis, thereby focusing on the generation of periglomerular interneurons in the olfactory bulb. We isolated neuronal precursors and mature neurons from the periglomerular neuron lineage and analyzed their gene expression by microarray. We found that expression of the bHLH transcription factor NeuroD1 strikingly coincides with terminal differentiation. Using brain electroporation, we show that overexpression of NeuroD1 in the periventricular region in vivo leads to the rapid appearance of cells with morphological and molecular characteristics of mature neurons in the subventricular zone and rostral migratory stream. Conversely, shRNA-induced knockdown of NeuroD1 inhibits terminal neuronal differentiation. Thus, expression of a single transcription factor is sufficient to induce neuronal differentiation of neural progenitors in regions that normally do not show addition of new neurons. These results suggest a considerable potential of NeuroD1 for use in cell-therapeutic approaches in the nervous system.
Determination of neuronal subtypes is an early event that coincides with cell cycle exit (1, 2). However, after their generation, new neurons have to remain immature for prolonged periods, allowing their migration to final destinations where terminal differentiation occurs (3). Little is known about the factors that maintain the precursor state or induce terminal differentiation.
Olfactory neurogenesis is particularly suited to approach these late steps in neuronal differentiation. Here, stem cell populations first located in the ventricular zone and after the establishment of an ependymal layer positioned in subventricular zone (SVZ) generate migratory neuroblasts throughout life (4). These perform long-distance chain migration via the rostral migratory stream (RMS) into the olfactory bulb (OB), where they migrate into the granule cell layer (GCL) and the glomerular layer (GL) to differentiate into GABA- and dopaminergic neurons (4, 5). Thus, in this system, generation of neurons is permanent and the consecutive steps in the neurogenic sequence are spatially separated.
Determination of newly generated neurons has been studied intensively over the past years. For example, it has been demonstrated that defined areas surrounding the lateral ventricle contain predetermined stem cells that give rise to defined subsets of interneurons (6, 7). Several transcription factors have been implicated in the specification of the different neuronal populations. The zinc finger transcription factor sp8, for instance, appears to be involved in the generation of interneurons expressing calretinin (8), and analysis of Sall3 mutant mice (9) points to a role of this factor in the dopaminergic, tyrosine hydroxylase–positive lineage (10). Furthermore, it appears that interneuron diversity relies on the combinatorial expression of such transcription factors. This is exemplified by Pax6 and Dlx2, which have been shown to interact in the determination of adult generated neuronal precursors toward a dopaminergic fate (9, 11, 12). All of these transcriptional regulators are expressed early during the neurogenic process and remain present until terminal differentiation occurs.
We aimed at the identification of transcription factors that induce terminal differentiation of postnatal generated neurons in the OB. To do so we isolated neuronal precursors and differentiated interneurons from the periglomerular lineage of the OB and compared their gene expression by microarray. We established that the expression of NeuroD1, a bHLH transcription factor that has been implicated in neuronal differentiation in several experimental systems (13–17), coincides with the passage from neuronal precursor to mature interneurons. Functionally, we show that premature expression of NeuroD1 in vitro and in vivo induced highly efficiently the differentiation of forebrain progenitors. In vivo, this leads to the transitory appearance of ectopic neurons in the SVZ, RMS and striatum. Conversely, knockdown of NeuroD1 specifically inhibits terminal maturation of periglomerular neurons in the OB. Thus, NeuroD1 is both necessary and sufficient to induce key steps in terminal neuronal differentiation.
NeuroD1 Is Specifically Expressed in Mature GL Interneurons.
Subpopulations of neuronal precursors destined for the GCL and GL of the OB are generated by regionally defined stem cell populations in the periventricular region but migrate intermingled in the RMS to the OB. Once there, cells resegregate: granule cell precursors terminate their migration in the GCL, whereas the smaller population of periglomerular neuron precursors traverses this layer and the mitral cell layer (MCL) to invade the peripherally located GL (Fig. 1A). Thus, at a given time point, the GL contains both mature periglomerular neurons and their specific progenitors. Based on this spatial organization we isolated these two populations, concurrently depleting glial cells.
We devised a three-step strategy based on the following: (i) microdissection followed by enzymatic dissociation of the postnatal GL, (ii) depletion of contaminating glial cells by magnetic activated cell sorting (MACS) using an A2B5 specific antibody (18), (iii) separation of PSA-NCAM expressing cells (19) from the remaining fraction containing the mature neurons (Fig. 1B). The same purification strategy was applied to tissue microdissected from the P2 periventricular region (18). Characterization of the different cell population after sorting was performed via immunocytochemistry using the markers used for sorting (A2B5 and PSA-NCAM) as well as the differentiation marker Gad65 (18) (Fig. S1). Thus, as starting material we obtained highly enriched mature OB periglomerular interneurons (PGN), their immature progenitors (PGP), as well as a mixed population of generic progenitors (GP) from the SVZ/RMS.

Fig. 1.
Expression of NeuroD1 in the olfactory neurogenic system (A) DAPI-stained coronal section through the olfactory bulb of P5. (B) Strategy to isolate neuronal populations at different steps of their maturation. (C) Relative changes in gene expression for selected genes. Expression in GP was considered baseline, and changes are expressed as fold difference. (D–F) NeuroD1 in situ hybridization on sections from P5 mouse brain. No signal was detected along the lateral ventricle or in the RMS (D). In the olfactory bulb, individual NeuroD1+ cells were present in the GCL, whereas the MCL and the GL contained higher amounts (E, high magnification in F). A similar expression pattern was found after β-gal reaction on NeuroD1-lacZ-knockin tissue (G). (Scale bar: 200 μm in A; 100 μm inD and E; 20 μm in F and G).
Based on the purified and characterized cell populations, we performed microarray analyses to gain insight into the changes in gene expression during the neurogenic process. Investigation of expression dynamics of genes associated with either the precursor status or neuronal differentiation (Fig. S2 A and B) were used to validate the approach. Furthermore, these data were compared with those from an already available Serial Analysis of Gene Expression (SAGE) study (20).
Serial Analysis of Microarray (SAM) demonstrated the presence of groups of genes with comparable expression patterns (Fig. S2 C–E). Interestingly, only a relatively small fraction of genes were absent in the immature cell populations GP and PGP but highly represented in mature PGN (Fig. S2E). One of the genes showing such a pattern was NeuroD1, which was expressed more than 50-fold higher in PGN than in the immature populations (Fig. 1C). This was in agreement with the above-cited SAGE data, showing that NeuroD1 expression was below the detection level in neuronal precursors of the adult SVZ (20). Thus, expression of NeuroD1 was absent from precursors but coincided with terminal neuronal differentiation.
This late expression of NeuroD1 was in contrast to that of factors that have been functionally implicated in the specification of PGN, including Pax6, Sp8 and Sall3, which were expressed in both the immature populations and in the mature neurons (Fig. 1C; in situ hybridization for Pax6 in Fig. S3). Only Dlx2 showed a moderate increase in the PGN lineage outgoing, however, from an already considerable baseline level in migrating precursors (12) (Fig. 1C).
Next we analyzed the expression of NeuroD1 using in situ hybridization on P5 forebrain sections. Strong expression was found in the GL, whereas weaker expression was observed in the GCL and MCL (Fig. 1 Eand F). The transcript was undetectable in the periventricular region and the RMS (Fig. 1D). This staining was confirmed using NeuroD1-lacZ knockin mice (21) (Fig. 1G). In conclusion, these data demonstrated the absence of NeuroD1 from immature cells of the system and its strong expression in mature PGN. This pattern was coherent with a function in terminal neuronal differentiation.
NeuroD1 Induces Neuronal Differentiation in Vitro.
We studied the neurogenic potential of NeuroD1 in primary cultured neural stem cells using the neurosphere assay. In parallel to NeuroD1, we performed all experiments under the same conditions using the transcription factor Pax6, a well-described neurogenic signal in the system (9, 11, 12), to control for specificity of the observed effects. Neurosphere cells were coelectroporated with NeuroD1 or Pax6 expression vectors and GFP immediately before plating in differentiation conditions. One week after transfection, in the control condition, 14 ± 1% of the GFP-positive cells coexpressed the early neuronal marker Tuj1 (Fig. S4 A and D) whereas NeuroD1 induced Tuj1 expression in virtually all cells (98.0 ± 2%, Fig. S4 B and D). Pax6 gain-of-function led to an intermediate value (60.0 ± 3%, Fig. S4 C and D). NeuN, a later neuronal marker (22), was expressed by 21.1 ± 1% of the Tuj1-positive cells in the control situation (Fig. S4 E and H) but induced by NeuroD1 in almost all cells (93.9 ± 2%; Fig. S4 F and H). Surprisingly, Pax6 expression led to nearly complete disappearance of NeuN (1.7 ± 0.3%; Fig. S4 G and H). We investigated the induction of subtype specific markers by NeuroD1. Whereas tyrosine hydroxylase showed no augmentation, we found a 20% increase in calretinin labeling, in agreement with previous findings (23).
Next we investigated morphological parameters like process length as well as density and length of filopodia. Both NeuroD1 and Pax6 induced a significant, greater than 2-fold increase in process length (Fig. S4 I and L). We analyzed dendritic filopodia, structures that are believed to be precursors of dendritic spines (24). Expression of NeuroD1 induced a doubling in density and length of filopodia (Fig. S4 N, P, and Q). Interestingly, Pax6 reduced filopodia density to a level significantly below that of controls (Fig. S4 O and P), whereas length of the few remaining filopodia was not affected (7.0 ± 0.4 μm; Fig. S4Q).
Thus, the expression of NeuroD1 in neurosphere amplified neural stem cells induced neuronal commitment as well as morphological characteristics of mature neurons. Like NeuroD1, Pax6 favored neuronal commitment but appeared to actively suppress certain characteristics of terminal neuronal differentiation.
NeuroD1 Induces Ectopic Neurons in Vivo.
We asked whether NeuroD1 was also sufficient to induce neuronal differentiation in vivo. We used postnatal forebrain electroporation, an approach that allows efficient genetic manipulation of neural stem cells along the lateral ventricles and, consequently, of all transitory or permanent cell populations that are generated in the olfactory neurogenic process (25). The NeuroD1 expression vector or empty control plasmids were coelectroporated together with a GFP-containing vector that allowed visualization of transfected cells and their progeny at high resolution. Consequences of NeuroD1 gain-of-function were analyzed at 2, 4, 6, 8, and 15 days postelectroporation (dpe). As for the in vitro studies, results were compared with the effects of Pax6 gain-of-function.
At 2 dpe of a control vector into the lateral wall of the forebrain ventricle, 9.8 ± 1.3% (Fig. 2 A and K) of the GFP-expressing cells were localized in the VZ and had the morphology of radial glia (RG) (25). The majority of the GFP + cells, representing mainly neuronal precursors, were localized in the SVZ. Electroporation of a NeuroD1 expression vector induced a loss of GFP-positive RG cells (3.7 ± 0.5%; Fig. 2 B and K). The remaining cells in the VZ showed lower GFP levels than in controls (Fig. 2 A and B asterisks).

Fig. 2.
NeuroD1 induces neuronal morphology in vivo. Effect of NeuroD1 gain-of-function at different time points postelectroporation. (A and B) Coronal forebrain sections at the level of the lateral ventricle at 2 dpe. In the control condition, strongly GFP labeled RG are present in the VZ (A, asterisk). Expression of NeuroD1 induced a relative loss of radial glia and fainter GFP label (B, asterisk). (C and D) Coronal sections at the level of the lateral ventricle at 4 dpe. NeuroD1 expression induced an accumulation of transfected cells in the SVZ (D) and the almost total disappearance of radial glia (D). (E–F′) Sagittal sections of the RMS at 4 dpe. In the control situation, cells migrated toward the OB and presented the bipolar morphology specific of migrating precursors (E, E′, arrowheads). NeuroD1 electroporation induced loss of tangential orientation, induction of complex branching (F, F′, arrowhead), and invasion of the surrounding tissues (F, arrowheads). (G and H) Coronal section at the level of the olfactory bulb at 4 dpe. Although the majority of cells have reached the OB in the control situation (G), only a few cells were located in the center of the OB in the presence of NeuroD1 (H). (I and I′) Examples of cells presenting neuronal morphology in the SVZ at 4 dpe. (J) High magnification showing the presence of filopodia covering NeuroD1-expressing cells (arrowheads). (K) Quantification of GFP-positive cells presenting radial glia cell morphology along the lateral ventricle at 2 and 4 dpe. Control: 9.8 ± 1.3% (n= 6) at 2 dpe; 24 ± 11.8% at 4 dpe (n = 3); NeuroD1: 3.7 ± 0.5% at 2 dpe (n = 6); 1.6 ± 0.7% at 4 dpe (n = 3). (l) Distribution of the GFP-positive cells along the rostrocaudal axis. NeuroD1 expressing cells accumulated in proximal parts of the system. (M) Morphological analysis of cells in the SVZ/RMS. Three different classes were defined: (i) bipolar cells presenting tangential orientation, (ii) spherical cells, and (iii) branched cells presenting multiple processes in various directions (compare I). NeuroD1-expressing cells presented a highly branched morphology. Control: bipolar, 80.4%; spherical, 19.5%; branched, 0% (n = 133 cells). NeuroD1: bipolar, 5%; spherical, 16.8%; branched, 78% (n = 119 cells). Statistics: Mann-Whitney test. ns, not significant. **P < 0.01; ***P < 0.005. (Scale bar: 100 μm in E, F, G,and H; 25 μm in A, B, C, D,E, and F’; 10 μm in I; 5 μm in J.)
At 4 dpe, in the control situation, considerable amounts of strongly GFP+ RG cells were still present in the VZ (Fig. 2C asterisks), whereas NeuroD1 expression induced an almost complete loss of RG cells (Fig. 2 Dand K). At this time point, control cells were found along the entire SVZ and RMS. They showed generally tangential orientation and the typical morphology of migratory neuronal precursors. Large amounts of such cells were also found in the center of the OB (Fig. 2 G and L). NeuroD1 expression induced an accumulation of GFP-labeled cells in the SVZ (Fig. 2 D and L) at the expense of cells in the RMS (Fig. 2H,quantified in Fig. 2L). The accumulating cells did not have the appearance of migrating precursors but displayed complex multibranched morphologies (Fig. 2 F and F′, examples in Fig. 2 I and I′, quantified inFig. 2M). All principal processes of these cells were covered with small protrusions resembling filopodia (Fig. 2J). Such morphologically complex cells, strongly resembling neurons, were also predominant in and along proximal parts of the RMS (Fig. 2F′). Interestingly, considerable amounts of multibranched cells were found outside of the periventricular region and the RMS, invading neighboring structures such as the striatum (Fig. 2F, arrows). There was a clear correlation between the quantity of transgene expression, as visualized by GFP fluorescence, and the above parameters. Thus, NeuroD1 induced dose-dependently a neuron-like morphology in cells in the SVZ, RMS, and surrounding tissues.
We characterized the NeuroD1 induced neuron-like cell population in the periventricular region using neuronal and glial markers (Fig. 3; examples in Fig. S5). Doublecortin (DCX), a microtubule-associated protein expressed in migratory neuronal precursors (26), was seen in 75.2 ± 4.5% of the cells in the control situation but showed a significant increase after expression of NeuroD1 (91.7 ± 2.2%). NeuN, a marker for most mature neuronal cell types in the brain (22) was low in controls (5.2 ± 1.4%, n = 8) but strongly induced by NeuroD1 (65.9 ± 4.5%, n = 9). Map2, a later generic neuronal marker (27), was also rare in control cells (14.1 ± 1.4%, n = 3) but highly expressed in the NeuroD1 condition (61.9 ± 2.7%, n = 3). GFAP and Olig2 did not show significant alterations due to NeuroD1 expression. Thus, the NeuroD1-induced ectopic cells with neuronal morphology in the SVZ and RMS showed molecular characteristics of neurons.

Fig. 3.
NeuroD1 induces generic neuronal markers in vivo Molecular phenotype of the cells located in the periventricular region (level 4 in Fig. 2l). Quantification representing the percentage of GFP-positive cells expressing the respective markers. DCX: control, 75.2 ± 4.5%, n = 5; NeuroD1, 91.7 ± 2.2%, n = 5. NeuN: control, 5.2 ± 1.4%, n = 8; NeuroD1, 65.9 ± 4.5%, n = 9. Map2: control, 14.1 ± 1.4%, n = 3; NeuroD1, 61.9 ± 2.7%, n = 3. Olig2: control, 6.8 ± 5%, n = 3; NeuroD1, 2.5 ± 0.5%, n = 3. GFAP: control, 0%, n = 3; NeuroD1, 0%, n = 2. Errors bars indicate SEM. Statistics: DCX and Map2, unpaired ttest; NeuN, Mann-Whitney test. ns, not significant. *P < 0.05; **P < 0.01; ***P < 0.005.
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NeuroD1 Is Necessary For OB Interneuron Differentiation in Vivo.
Next we asked whether NeuroD1 is essential for the generation of PGN. Given that NeuroD1 deficiency in mice is generally associated with perinatal lethality (14, 15, 21), we used a strategy based on RNAi in concert with postnatal in vivo electroporation to knock down NeuroD1 in the olfactory bulb neurogenic system. For validation, three different NeuroD1 specific shRNA vectors were cotransfected with a NeuroD1 expression construct into COS-7 cells. Western blot analysis demonstrated that two of the shRNAs, sh775 and sh776, efficiently inhibited production of the NeuroD1 protein, whereas sh777 induced a less efficient downregulation (sh775, 94.6%; sh776, 96.9%; sh777, 78.4%; corrected for loading against αtubulin; Fig. 4A). All three shRNAs were used for further in vivo studies.

Fig. 4.
In vivo terminal neuronal differentiation of PGC is impaired in absence of NeuroD1. (A) Western blot analysis of protein extracts from cos-7 cells transfected with NeuroD1 or in combination with different NeuroD1 specific shRNAs. sh775 and sh776 strongly repressed NeuroD1 protein expression (94.6% and 96.9%, respectively), whereas sh777 repressed NeuroD1 by 74.8%. (B–H′′) Consequences of loss-of-function of NeuroD1 via in vivo postnatal electroporation at 4 and 15 dpe. (B–E) No differences were observed at the level of the lateral ventricle or in the RMS at 4 dpe. (F) Cell distribution along the rostro-caudal axis was normal (definition of levels in Fig. 2l). (G and H′′) Consequences of NeuroD1 knockdown on PGN morphology at 15 dpe. (G) Whereas shRNAs showing a strong effect on NeuroD1 expression strongly inhibited morphological differentiation, the weakly active shRNA 777 had only a minor effect compared with control. (H) Examples of cells that served for classification of PGN. Class1 cells present primary and secondary branching. Dendritic spines (arrowheads) indicate their synaptic integration in OB circuitry. Class 2 cells present a single primary branch. Class 3 cells present a spherical morphology and no branching. Errors bars indicate SEM. Statistics, unpaired t test. ns, not significant. **P < 0.01; ***P < 0.005. (Scale bar: 100 μm in B–E; 20 μm in H.
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When the two highly active NeuroD1-specific shRNAs sh775 and sh776 were electroporated, the vast majority of cells in the GL showed simple morphologies with few or no processes (classes 2 and 3), whereas cells with complex neuronal morphologies were sparse (Fig. 4G). When the less-efficient shRNA sh777 was expressed, an intermediate degree of neuronal maturation was observed (Fig. 4G), suggesting a dose-dependent action of NeuroD1 under these conditions. Comparable results were obtained for the GCL. As in the PGL, knockdown of NeuroD1 induced a dose-dependent inhibition of terminal neuronal differentiation (Fig. S9 A and B).
Thus, knockdown of NeuroD1 did not notably interfere with early steps of interneuron generation, but induced a specific defect in the acquisition of the differentiated neuronal phenotype in the OB.
Discussion
Although considerable information is available concerning the generation, specification, and migration of neurons, little is known concerning the factors and regulatory cascades that maintain the immature neuronal precursor status or induce the exit from this state and trigger terminal differentiation. Using a systematic approach, we identified NeuroD1 as a candidate for the latter function and validated this role using gain- and loss-of function approaches.
In Xenopus, a late function of NeuroD1 has been suggested based on two lines of evidence (13). First, NeuroD1 is transitorily expressed in territories where neuronal differentiation occurs. Second, misexpression of NeuroD1 causes the premature differentiation of neuronal precursors into neurons. However, the observation that NeuroD1 could also convert presumptive epidermal cells into neurons pointed toward a determination function. Therefore, a doubtless discrimination between a proneural and a terminal differentiation function was not possible.
The above-cited pioneering work in the frog has been extended through the analysis of mice with mutations in the NeuroD1 gene (14, 15, 21). In the hippocampal dentate gyrus of such animals, granule cell precursors are generated correctly in the neuroepithelium and invade the hippocampal anlage. However, in the target structure, precursors show a severe deficit in proliferation, and a defined dentate gryus is not formed (15). In the mutant cerebellum, generation and migration of early precursors appear not to be affected. Nevertheless, once these cells become postmitotic, massive cell death is observed and the cerebellum is severely affected (14). Thus, in these systems a late function of NeuroD1 is already suggested. However, because of the complexity of the models and the relatively low level of resolution, the available information is still fragmentary.
We attempted to clarify the role of NeuroD1 in neuronal differentiation by analyzing its function during olfactory neurogenesis. Using SAGE, microarray, in situ hybridization, and lacZ knockin into the NeuroD1 locus, we have demonstrated that NeuroD1 is expressed in mature neurons of the OB but is absent from immature stages. These findings are in contrast to recent expression data based on a NeuroD1 antibody, suggesting expression of the transcription factor already in the SVZ and RMS (23, 29). However, our loss-of-function approach based on RNAi shows that NeuroD1 is dispensable for generation and migration of precursors but is necessary for their transition into neurons in the target layer. These findings are in agreement with those of a recent study based on conditional NeuroD1 mutants, which showed a comparable defect in the OB (29).
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This work demonstrates that expression of a single transcription factor can induce massive ectopic neuronal differentiation of neural stem cells in the vertebrate forebrain. The existence of postnatal and adult neurogenesis holds potential for the treatment of neurodegenerative diseases (34). However, in many experimental paradigms, transplanted or recruited cells fail to undergo differentiation into neurons and either transdifferentiate into glia or remain immature precursors (18, 35). It appears conceivable to combine such approaches with the strong neuronal differentiation inducing activity of NeuroD1.
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