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  • *Gene Expression Regulation  (25)
  • American Association for the Advancement of Science (AAAS)  (25)
  • American Meteorological Society
  • 2015-2019  (12)
  • 2010-2014  (13)
  • 1955-1959
  • 2015  (12)
  • 2013  (13)
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  • 2015-2019  (12)
  • 2010-2014  (13)
  • 1955-1959
Year
  • 1
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    Human genomics. Effect of predicted protein-truncating genetic variants on the human transcriptome (2015)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2015-05-09
    Description: Accurate prediction of the functional effect of genetic variation is critical for clinical genome interpretation. We systematically characterized the transcriptome effects of protein-truncating variants, a class of variants expected to have profound effects on gene function, using data from the Genotype-Tissue Expression (GTEx) and Geuvadis projects. We quantitated tissue-specific and positional effects on nonsense-mediated transcript decay and present an improved predictive model for this decay. We directly measured the effect of variants both proximal and distal to splice junctions. Furthermore, we found that robustness to heterozygous gene inactivation is not due to dosage compensation. Our results illustrate the value of transcriptome data in the functional interpretation of genetic variants.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4537935/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4537935/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Rivas, Manuel A -- Pirinen, Matti -- Conrad, Donald F -- Lek, Monkol -- Tsang, Emily K -- Karczewski, Konrad J -- Maller, Julian B -- Kukurba, Kimberly R -- DeLuca, David S -- Fromer, Menachem -- Ferreira, Pedro G -- Smith, Kevin S -- Zhang, Rui -- Zhao, Fengmei -- Banks, Eric -- Poplin, Ryan -- Ruderfer, Douglas M -- Purcell, Shaun M -- Tukiainen, Taru -- Minikel, Eric V -- Stenson, Peter D -- Cooper, David N -- Huang, Katharine H -- Sullivan, Timothy J -- Nedzel, Jared -- GTEx Consortium -- Geuvadis Consortium -- Bustamante, Carlos D -- Li, Jin Billy -- Daly, Mark J -- Guigo, Roderic -- Donnelly, Peter -- Ardlie, Kristin -- Sammeth, Michael -- Dermitzakis, Emmanouil T -- McCarthy, Mark I -- Montgomery, Stephen B -- Lappalainen, Tuuli -- MacArthur, Daniel G -- 090532/Wellcome Trust/United Kingdom -- 090532/Z/09/Z/Wellcome Trust/United Kingdom -- 095552/Wellcome Trust/United Kingdom -- 095552/Z/11/Z/Wellcome Trust/United Kingdom -- 098381/Wellcome Trust/United Kingdom -- DA006227/DA/NIDA NIH HHS/ -- HHSN261200800001E/CA/NCI NIH HHS/ -- HHSN261200800001E/PHS HHS/ -- HHSN268201000029C/HL/NHLBI NIH HHS/ -- HHSN268201000029C/PHS HHS/ -- MH090936/MH/NIMH NIH HHS/ -- MH090937/MH/NIMH NIH HHS/ -- MH090941/MH/NIMH NIH HHS/ -- MH090948/MH/NIMH NIH HHS/ -- MH090951/MH/NIMH NIH HHS/ -- P30 DK020595/DK/NIDDK NIH HHS/ -- R01 GM104371/GM/NIGMS NIH HHS/ -- R01 MH090941/MH/NIMH NIH HHS/ -- R01 MH101810/MH/NIMH NIH HHS/ -- R01 MH101814/MH/NIMH NIH HHS/ -- R01 MH101820/MH/NIMH NIH HHS/ -- R01GM104371/GM/NIGMS NIH HHS/ -- R01MH090941/MH/NIMH NIH HHS/ -- R01MH101810/MH/NIMH NIH HHS/ -- R01MH101814/MH/NIMH NIH HHS/ -- U01 HG007593/HG/NHGRI NIH HHS/ -- U01HG007593/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2015 May 8;348(6235):666-9. doi: 10.1126/science.1261877.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK. rivas@well.ox.ac.uk tlappalainen@nygenome.org macarthur@atgu.mgh.harvard.edu. ; FInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland. ; Washington University in St. Louis, St. Louis, MO, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. ; Department of Genetics, Stanford University, Stanford, CA, USA. Department of Pathology, Stanford University, Stanford, CA, USA. Biomedical Informatics Program, Stanford University, Stanford, CA, USA. ; Department of Genetics, Stanford University, Stanford, CA, USA. Department of Pathology, Stanford University, Stanford, CA, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. Department of Psychiatry, Mt. Sinai Hospital, NY, USA. ; Department of Genetic Medicine and Development,University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. ; Department of Genetics, Stanford University, Stanford, CA, USA. ; Department of Psychiatry, Mt. Sinai Hospital, NY, USA. Division of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. Department of Psychiatry, Mt. Sinai Hospital, NY, USA. Division of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY, USA. ; Institute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, UK. ; Center for Genomic Regulation (CRG), Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. ; Wellcome Trust Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK. Department of Statistics, University of Oxford, Oxford, UK. ; Center for Genomic Regulation (CRG), Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. National Institute for Scientific Computing (LNCC), Petropolis, Rio de Janeiro, Brazil. ; Wellcome Trust Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK. Oxford Center for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK. ; Department of Genetics, Stanford University, Stanford, CA, USA. Department of Genetic Medicine and Development,University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. New York Genome Center, New York, NY, USA. Department of Systems Biology, Columbia University, New York, NY, USA. rivas@well.ox.ac.uk tlappalainen@nygenome.org macarthur@atgu.mgh.harvard.edu. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. Department of Medicine, Harvard Medical School, Boston, MA, USA. rivas@well.ox.ac.uk tlappalainen@nygenome.org macarthur@atgu.mgh.harvard.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25954003" target="_blank"〉PubMed〈/a〉
    Keywords: Alternative Splicing ; Gene Expression Profiling ; *Gene Expression Regulation ; Gene Silencing ; *Genetic Variation ; Genome, Human/*genetics ; Heterozygote ; Humans ; Nonsense Mediated mRNA Decay ; Phenotype ; Proteins/*genetics ; *Transcriptome
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 2
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    Influence of HLA-C expression level on HIV control (2013)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2013-04-06
    Description: A variant upstream of human leukocyte antigen C (HLA-C) shows the most significant genome-wide effect on HIV control in European Americans and is also associated with the level of HLA-C expression. We characterized the differential cell surface expression levels of all common HLA-C allotypes and tested directly for effects of HLA-C expression on outcomes of HIV infection in 5243 individuals. Increasing HLA-C expression was associated with protection against multiple outcomes independently of individual HLA allelic effects in both African and European Americans, regardless of their distinct HLA-C frequencies and linkage relationships with HLA-B and HLA-A. Higher HLA-C expression was correlated with increased likelihood of cytotoxic T lymphocyte responses and frequency of viral escape mutation. In contrast, high HLA-C expression had a deleterious effect in Crohn's disease, suggesting a broader influence of HLA expression levels in human disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3784322/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3784322/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Apps, Richard -- Qi, Ying -- Carlson, Jonathan M -- Chen, Haoyan -- Gao, Xiaojiang -- Thomas, Rasmi -- Yuki, Yuko -- Del Prete, Greg Q -- Goulder, Philip -- Brumme, Zabrina L -- Brumme, Chanson J -- John, Mina -- Mallal, Simon -- Nelson, George -- Bosch, Ronald -- Heckerman, David -- Stein, Judy L -- Soderberg, Kelly A -- Moody, M Anthony -- Denny, Thomas N -- Zeng, Xue -- Fang, Jingyuan -- Moffett, Ashley -- Lifson, Jeffrey D -- Goedert, James J -- Buchbinder, Susan -- Kirk, Gregory D -- Fellay, Jacques -- McLaren, Paul -- Deeks, Steven G -- Pereyra, Florencia -- Walker, Bruce -- Michael, Nelson L -- Weintrob, Amy -- Wolinsky, Steven -- Liao, Wilson -- Carrington, Mary -- 5-M01-RR-00722/RR/NCRR NIH HHS/ -- HHSN261200800001E/CA/NCI NIH HHS/ -- HHSN261200800001E/PHS HHS/ -- K08 AR057763/AR/NIAMS NIH HHS/ -- K08AR057763/AR/NIAMS NIH HHS/ -- K24 AI069994/AI/NIAID NIH HHS/ -- K24AI069994/AI/NIAID NIH HHS/ -- N02-CP-55504/CP/NCI NIH HHS/ -- P30 AI027763/AI/NIAID NIH HHS/ -- P30 AI027767/AI/NIAID NIH HHS/ -- P30 AI027767-24/AI/NIAID NIH HHS/ -- P30 MH62246/MH/NIMH NIH HHS/ -- PG/09/077/27964/British Heart Foundation/United Kingdom -- R01 AI046995/AI/NIAID NIH HHS/ -- R01 AI060460/AI/NIAID NIH HHS/ -- R01 AI087145/AI/NIAID NIH HHS/ -- R01 AR065174/AR/NIAMS NIH HHS/ -- R01-AI046995/AI/NIAID NIH HHS/ -- R01-AI060460/AI/NIAID NIH HHS/ -- R01-DA-04334/DA/NIDA NIH HHS/ -- R01-DA-12568/DA/NIDA NIH HHS/ -- R01-DA04334/DA/NIDA NIH HHS/ -- R01-DA12568/DA/NIDA NIH HHS/ -- R24 AI067039/AI/NIAID NIH HHS/ -- U01-AI-067854/AI/NIAID NIH HHS/ -- U01-AI-35039/AI/NIAID NIH HHS/ -- U01-AI-35040/AI/NIAID NIH HHS/ -- U01-AI-35041/AI/NIAID NIH HHS/ -- U01-AI-35042/AI/NIAID NIH HHS/ -- U01-AI-35043/AI/NIAID NIH HHS/ -- U01-AI-37613/AI/NIAID NIH HHS/ -- U01-AI-37984/AI/NIAID NIH HHS/ -- UL1 RR024131/RR/NCRR NIH HHS/ -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2013 Apr 5;340(6128):87-91. doi: 10.1126/science.1232685.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Cancer and Inflammation Program, Laboratory of Experimental Immunology, Science Applications International Corporation-Frederick, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23559252" target="_blank"〉PubMed〈/a〉
    Keywords: African Americans/genetics ; Alleles ; Amino Acid Sequence ; Anti-Retroviral Agents/therapeutic use ; Crohn Disease/genetics/immunology ; *Gene Expression Regulation ; HIV/genetics/*immunology ; HIV Infections/drug therapy/*genetics/*immunology ; HLA-C Antigens/*genetics ; Humans ; Immunodominant Epitopes/genetics ; Molecular Sequence Data ; Mutation ; Peptide Fragments/immunology ; Polymorphism, Single Nucleotide ; T-Lymphocytes, Cytotoxic/*immunology ; Viral Load/genetics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
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    Human genomics. The human transcriptome across tissues and individuals (2015)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2015-05-09
    Description: Transcriptional regulation and posttranscriptional processing underlie many cellular and organismal phenotypes. We used RNA sequence data generated by Genotype-Tissue Expression (GTEx) project to investigate the patterns of transcriptome variation across individuals and tissues. Tissues exhibit characteristic transcriptional signatures that show stability in postmortem samples. These signatures are dominated by a relatively small number of genes-which is most clearly seen in blood-though few are exclusive to a particular tissue and vary more across tissues than individuals. Genes exhibiting high interindividual expression variation include disease candidates associated with sex, ethnicity, and age. Primary transcription is the major driver of cellular specificity, with splicing playing mostly a complementary role; except for the brain, which exhibits a more divergent splicing program. Variation in splicing, despite its stochasticity, may play in contrast a comparatively greater role in defining individual phenotypes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547472/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547472/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mele, Marta -- Ferreira, Pedro G -- Reverter, Ferran -- DeLuca, David S -- Monlong, Jean -- Sammeth, Michael -- Young, Taylor R -- Goldmann, Jakob M -- Pervouchine, Dmitri D -- Sullivan, Timothy J -- Johnson, Rory -- Segre, Ayellet V -- Djebali, Sarah -- Niarchou, Anastasia -- GTEx Consortium -- Wright, Fred A -- Lappalainen, Tuuli -- Calvo, Miquel -- Getz, Gad -- Dermitzakis, Emmanouil T -- Ardlie, Kristin G -- Guigo, Roderic -- HHSN261200800001E/PHS HHS/ -- HHSN268201000029C/HL/NHLBI NIH HHS/ -- HHSN268201000029C/PHS HHS/ -- R01 DA006227-17/DA/NIDA NIH HHS/ -- R01 MH090936/MH/NIMH NIH HHS/ -- R01 MH090941/MH/NIMH NIH HHS/ -- New York, N.Y. -- Science. 2015 May 8;348(6235):660-5. doi: 10.1126/science.aaa0355.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Harvard Department of stem cell and regenerative biology, Harvard University, Cambridge, MA, USA. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. McGill University, Montreal, Canada. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. National Institute for Scientific Computing (LNCC), Petropolis, Rio de Janeiro, Brazil. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Radboud University, Nijmegen, Netherlands. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Faculty of Bioengineering and Bioinformatics, Moscow State University, Leninskie Gory 1-73, 119992 Moscow, Russia. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. ; Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Harvard Department of stem cell and regenerative biology, Harvard University, Cambridge, MA, USA. Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Broad Institute of MIT and Harvard, Cambridge, MA, USA. McGill University, Montreal, Canada. National Institute for Scientific Computing (LNCC), Petropolis, Rio de Janeiro, Brazil. Radboud University, Nijmegen, Netherlands. Faculty of Bioengineering and Bioinformatics, Moscow State University, Leninskie Gory 1-73, 119992 Moscow, Russia. North Carolina State University, Raleigh, NC, USA. New York Genome Center, New York, NY, USA. Department of Systems Biology, Columbia University, New York, NY, USA. Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA. Institut Hospital del Mar d'Investigacions Mediques (IMIM), Barcelona, Catalonia, Spain. Joint CRG-Barcelona Super Computing Center (BSC)-Institut de Recerca Biomedica (IRB) Program in Computational Biology, Barcelona, Catalonia, Spain. ; North Carolina State University, Raleigh, NC, USA. ; Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. New York Genome Center, New York, NY, USA. Department of Systems Biology, Columbia University, New York, NY, USA. ; Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. kardlie@broadinstitute.org roderic.guigo@crg.cat. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Institut Hospital del Mar d'Investigacions Mediques (IMIM), Barcelona, Catalonia, Spain. Joint CRG-Barcelona Super Computing Center (BSC)-Institut de Recerca Biomedica (IRB) Program in Computational Biology, Barcelona, Catalonia, Spain. kardlie@broadinstitute.org roderic.guigo@crg.cat.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25954002" target="_blank"〉PubMed〈/a〉
    Keywords: Alternative Splicing ; Female ; Gene Expression Profiling ; *Gene Expression Regulation ; Genome, Human/*genetics ; Humans ; Male ; Organ Specificity/genetics ; Phenotype ; Polymorphism, Single Nucleotide ; Sequence Analysis, RNA ; Sex Factors ; *Transcriptome
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
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    Loss of motoneuron-specific microRNA-218 causes systemic neuromuscular failure (2015)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2015-12-19
    Description: Dysfunction of microRNA (miRNA) metabolism is thought to underlie diseases affecting motoneurons. One miRNA, miR-218, is abundantly and selectively expressed by developing and mature motoneurons. Here we show that mutant mice lacking miR-218 die neonatally and exhibit neuromuscular junction defects, motoneuron hyperexcitability, and progressive motoneuron cell loss, all of which are hallmarks of motoneuron diseases such as amyotrophic lateral sclerosis and spinal muscular atrophy. Gene profiling reveals that miR-218 modestly represses a cohort of hundreds of genes that are neuronally enriched but are not specific to a single neuron subpopulation. Thus, the set of messenger RNAs targeted by miR-218, designated TARGET(218), defines a neuronal gene network that is selectively tuned down in motoneurons to prevent neuromuscular failure and neurodegeneration.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Amin, Neal D -- Bai, Ge -- Klug, Jason R -- Bonanomi, Dario -- Pankratz, Matthew T -- Gifford, Wesley D -- Hinckley, Christopher A -- Sternfeld, Matthew J -- Driscoll, Shawn P -- Dominguez, Bertha -- Lee, Kuo-Fen -- Jin, Xin -- Pfaff, Samuel L -- F31-NS080340-03/NS/NINDS NIH HHS/ -- P30 CA014195/CA/NCI NIH HHS/ -- P30 NS072031/NS/NINDS NIH HHS/ -- R01AG0476669/AG/NIA NIH HHS/ -- R01GM088278/GM/NIGMS NIH HHS/ -- R01NS044420/NS/NINDS NIH HHS/ -- R01NS054154/NS/NINDS NIH HHS/ -- R01NS060833/NS/NINDS NIH HHS/ -- R21NS084254/NS/NINDS NIH HHS/ -- T32-GM007198/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 Dec 18;350(6267):1525-9. doi: 10.1126/science.aad2509.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute and Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA. Medical Scientist Training Program, University of California, San Diego (UCSD), 9500 Gilman Drive, La Jolla, CA 92037, USA. Biomedical Sciences Graduate Program, UCSD, 9500 Gilman Drive, La Jolla, CA 92037, USA. ; Howard Hughes Medical Institute and Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA. ; Molecular Neurobiology Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA. ; Howard Hughes Medical Institute and Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA. Medical Scientist Training Program, University of California, San Diego (UCSD), 9500 Gilman Drive, La Jolla, CA 92037, USA. Neurosciences Graduate Program, UCSD, 9500 Gilman Drive, La Jolla, CA 92037, USA. ; Howard Hughes Medical Institute and Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA. Biological Sciences Graduate Program, UCSD, 9500 Gilman Drive, La Jolla, CA 92037, USA. ; Peptide Biology Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA. ; Howard Hughes Medical Institute and Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA. pfaff@salk.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26680198" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Gene Expression Regulation ; Gene Regulatory Networks ; Mice ; Mice, Knockout ; MicroRNAs/genetics/*physiology ; Motor Neuron Disease/*genetics/physiopathology ; Motor Neurons/metabolism/pathology/*physiology ; Neurodegenerative Diseases/*genetics/pathology ; Spinal Cord/metabolism/physiopathology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
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    A long noncoding RNA mediates both activation and repression of immune response genes (2013)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2013-08-03
    Description: An inducible program of inflammatory gene expression is central to antimicrobial defenses. This response is controlled by a collaboration involving signal-dependent activation of transcription factors, transcriptional co-regulators, and chromatin-modifying factors. We have identified a long noncoding RNA (lncRNA) that acts as a key regulator of this inflammatory response. Pattern recognition receptors such as the Toll-like receptors induce the expression of numerous lncRNAs. One of these, lincRNA-Cox2, mediates both the activation and repression of distinct classes of immune genes. Transcriptional repression of target genes is dependent on interactions of lincRNA-Cox2 with heterogeneous nuclear ribonucleoprotein A/B and A2/B1. Collectively, these studies unveil a central role of lincRNA-Cox2 as a broad-acting regulatory component of the circuit that controls the inflammatory response.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376668/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376668/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Carpenter, Susan -- Aiello, Daniel -- Atianand, Maninjay K -- Ricci, Emiliano P -- Gandhi, Pallavi -- Hall, Lisa L -- Byron, Meg -- Monks, Brian -- Henry-Bezy, Meabh -- Lawrence, Jeanne B -- O'Neill, Luke A J -- Moore, Melissa J -- Caffrey, Daniel R -- Fitzgerald, Katherine A -- AI067497/AI/NIAID NIH HHS/ -- GM053234/GM/NIGMS NIH HHS/ -- R01 AI067497/AI/NIAID NIH HHS/ -- New York, N.Y. -- Science. 2013 Aug 16;341(6147):789-92. doi: 10.1126/science.1240925. Epub 2013 Aug 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23907535" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cell Line ; Cell Nucleus/metabolism ; Cyclooxygenase 2/genetics ; Cytokines/genetics/metabolism ; Cytosol/metabolism ; *Gene Expression Regulation ; Heterogeneous-Nuclear Ribonucleoproteins/metabolism ; Immunity, Innate/*genetics ; Inflammation/*genetics ; Macrophage Activation ; Macrophages/*immunology/*metabolism ; Mice ; Models, Immunological ; RNA Interference ; RNA, Long Noncoding/*genetics/metabolism ; Toll-Like Receptors/genetics/metabolism ; Transcription Factors/genetics/metabolism ; Transcription, Genetic ; Transcriptional Activation
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
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  • 6
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    Coordinated effects of sequence variation on DNA binding, chromatin structure, and transcription (2013)
    American Association for the Advancement of Science (AAAS)
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    Publication Date: 2013-10-19
    Description: DNA sequence variation has been associated with quantitative changes in molecular phenotypes such as gene expression, but its impact on chromatin states is poorly characterized. To understand the interplay between chromatin and genetic control of gene regulation, we quantified allelic variability in transcription factor binding, histone modifications, and gene expression within humans. We found abundant allelic specificity in chromatin and extensive local, short-range, and long-range allelic coordination among the studied molecular phenotypes. We observed genetic influence on most of these phenotypes, with histone modifications exhibiting strong context-dependent behavior. Our results implicate transcription factors as primary mediators of sequence-specific regulation of gene expression programs, with histone modifications frequently reflecting the primary regulatory event.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kilpinen, Helena -- Waszak, Sebastian M -- Gschwind, Andreas R -- Raghav, Sunil K -- Witwicki, Robert M -- Orioli, Andrea -- Migliavacca, Eugenia -- Wiederkehr, Michael -- Gutierrez-Arcelus, Maria -- Panousis, Nikolaos I -- Yurovsky, Alisa -- Lappalainen, Tuuli -- Romano-Palumbo, Luciana -- Planchon, Alexandra -- Bielser, Deborah -- Bryois, Julien -- Padioleau, Ismael -- Udin, Gilles -- Thurnheer, Sarah -- Hacker, David -- Core, Leighton J -- Lis, John T -- Hernandez, Nouria -- Reymond, Alexandre -- Deplancke, Bart -- Dermitzakis, Emmanouil T -- GM25232/GM/NIGMS NIH HHS/ -- HG004845/HG/NHGRI NIH HHS/ -- R01 HG004845/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2013 Nov 8;342(6159):744-7. doi: 10.1126/science.1242463. Epub 2013 Oct 17.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, Switzerland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24136355" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Base Sequence/genetics ; Binding Sites/genetics ; Chromatin/chemistry/*metabolism ; DNA/chemistry/*metabolism ; *Gene Expression Regulation ; *Genetic Variation ; Histones/chemistry/metabolism ; Humans ; Polymorphism, Single Nucleotide ; Promoter Regions, Genetic ; Transcription Factors/*metabolism ; *Transcription, Genetic
    Print ISSN: 0036-8075
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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    Extensive variation in chromatin states across humans (2013)
    American Association for the Advancement of Science (AAAS)
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    Publication Date: 2013-10-19
    Description: The majority of disease-associated variants lie outside protein-coding regions, suggesting a link between variation in regulatory regions and disease predisposition. We studied differences in chromatin states using five histone modifications, cohesin, and CTCF in lymphoblastoid lines from 19 individuals of diverse ancestry. We found extensive signal variation in regulatory regions, which often switch between active and repressed states across individuals. Enhancer activity is particularly diverse among individuals, whereas gene expression remains relatively stable. Chromatin variability shows genetic inheritance in trios, correlates with genetic variation and population divergence, and is associated with disruptions of transcription factor binding motifs. Overall, our results provide insights into chromatin variation among humans.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4075767/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4075767/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kasowski, Maya -- Kyriazopoulou-Panagiotopoulou, Sofia -- Grubert, Fabian -- Zaugg, Judith B -- Kundaje, Anshul -- Liu, Yuling -- Boyle, Alan P -- Zhang, Qiangfeng Cliff -- Zakharia, Fouad -- Spacek, Damek V -- Li, Jingjing -- Xie, Dan -- Olarerin-George, Anthony -- Steinmetz, Lars M -- Hogenesch, John B -- Kellis, Manolis -- Batzoglou, Serafim -- Snyder, Michael -- R01 HG004037/HG/NHGRI NIH HHS/ -- T32 GM007205/GM/NIGMS NIH HHS/ -- T32 HG000044/HG/NHGRI NIH HHS/ -- T32GM07205/GM/NIGMS NIH HHS/ -- U01 HL107393/HL/NHLBI NIH HHS/ -- New York, N.Y. -- Science. 2013 Nov 8;342(6159):750-2. doi: 10.1126/science.1242510. Epub 2013 Oct 17.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24136358" target="_blank"〉PubMed〈/a〉
    Keywords: Binding Sites ; Cell Cycle Proteins/genetics/metabolism ; Cell Line, Tumor ; Chromatin/*genetics/*metabolism ; Chromosomal Proteins, Non-Histone/genetics/metabolism ; Enhancer Elements, Genetic/genetics ; *Gene Expression Regulation ; Genetic Predisposition to Disease/*genetics ; Genetic Variation ; Histones/genetics/metabolism ; Humans ; Repressor Proteins/genetics/metabolism ; Transcription Factors/genetics/metabolism
    Print ISSN: 0036-8075
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    Genome-wide quantitative enhancer activity maps identified by STARR-seq (2013)
    American Association for the Advancement of Science (AAAS)
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    Publication Date: 2013-01-19
    Description: Genomic enhancers are important regulators of gene expression, but their identification is a challenge, and methods depend on indirect measures of activity. We developed a method termed STARR-seq to directly and quantitatively assess enhancer activity for millions of candidates from arbitrary sources of DNA, which enables screens across entire genomes. When applied to the Drosophila genome, STARR-seq identifies thousands of cell type-specific enhancers across a broad continuum of strengths, links differential gene expression to differences in enhancer activity, and creates a genome-wide quantitative enhancer map. This map reveals the highly complex regulation of transcription, with several independent enhancers for both developmental regulators and ubiquitously expressed genes. STARR-seq can be used to identify and quantify enhancer activity in other eukaryotes, including humans.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Arnold, Cosmas D -- Gerlach, Daniel -- Stelzer, Christoph -- Boryn, Lukasz M -- Rath, Martina -- Stark, Alexander -- New York, N.Y. -- Science. 2013 Mar 1;339(6123):1074-7. doi: 10.1126/science.1232542. Epub 2013 Jan 17.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Research Institute of Molecular Pathology (IMP), Vienna, Austria.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23328393" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Chromosome Mapping/*methods ; Drosophila melanogaster/genetics/growth & development ; Enhancer Elements, Genetic/*genetics ; Female ; *Gene Expression Regulation ; Gene Expression Regulation, Developmental ; Genome/genetics ; HeLa Cells ; Humans ; Ovary/metabolism ; Sequence Analysis, DNA ; Transcription, Genetic
    Print ISSN: 0036-8075
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    GENE REGULATION. Discrete functions of nuclear receptor Rev-erbalpha couple metabolism to the clock (2015)
    American Association for the Advancement of Science (AAAS)
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    Publication Date: 2015-06-06
    Description: Circadian and metabolic physiology are intricately intertwined, as illustrated by Rev-erbalpha, a transcription factor (TF) that functions both as a core repressive component of the cell-autonomous clock and as a regulator of metabolic genes. Here, we show that Rev-erbalpha modulates the clock and metabolism by different genomic mechanisms. Clock control requires Rev-erbalpha to bind directly to the genome at its cognate sites, where it competes with activating ROR TFs. By contrast, Rev-erbalpha regulates metabolic genes primarily by recruiting the HDAC3 co-repressor to sites to which it is tethered by cell type-specific transcription factors. Thus, direct competition between Rev-erbalpha and ROR TFs provides a universal mechanism for self-sustained control of the molecular clock across all tissues, whereas Rev-erbalpha uses lineage-determining factors to convey a tissue-specific epigenomic rhythm that regulates metabolism tailored to the specific need of that tissue.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4613749/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4613749/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zhang, Yuxiang -- Fang, Bin -- Emmett, Matthew J -- Damle, Manashree -- Sun, Zheng -- Feng, Dan -- Armour, Sean M -- Remsberg, Jarrett R -- Jager, Jennifer -- Soccio, Raymond E -- Steger, David J -- Lazar, Mitchell A -- F30 DK104513/DK/NIDDK NIH HHS/ -- F32 DK102284/DK/NIDDK NIH HHS/ -- K08 DK094968/DK/NIDDK NIH HHS/ -- P30 DK019525/DK/NIDDK NIH HHS/ -- P30 DK050306/DK/NIDDK NIH HHS/ -- P30 DK19525/DK/NIDDK NIH HHS/ -- R00 DK099443/DK/NIDDK NIH HHS/ -- R01 DK045586/DK/NIDDK NIH HHS/ -- R01 DK098542/DK/NIDDK NIH HHS/ -- R01 DK45586/DK/NIDDK NIH HHS/ -- T32 GM0008275/GM/NIGMS NIH HHS/ -- T32 GM008275/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2015 Jun 26;348(6242):1488-92. doi: 10.1126/science.aab3021. Epub 2015 Jun 4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Department of Genetics, and the Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. ; Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Department of Genetics, and the Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. Department of Molecular and Cellular Biology, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA. ; Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Department of Genetics, and the Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. lazar@mail.med.upenn.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26044300" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; CLOCK Proteins/*genetics ; Circadian Clocks/*genetics ; Circadian Rhythm/*genetics ; *Gene Expression Regulation ; Hepatocyte Nuclear Factor 6/metabolism ; Histone Deacetylases/*metabolism ; Lipid Metabolism/genetics ; Liver/metabolism ; Male ; Metabolism/*genetics ; Mice, Inbred C57BL ; Mice, Knockout ; Nuclear Receptor Subfamily 1, Group D, Member 1/genetics/*metabolism ; Nuclear Receptor Subfamily 1, Group F, Member 1/metabolism ; Organ Specificity ; Protein Binding ; Tissue Distribution
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    CTCF establishes discrete functional chromatin domains at the Hox clusters during differentiation (2015)
    American Association for the Advancement of Science (AAAS)
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    Publication Date: 2015-02-28
    Description: Polycomb and Trithorax group proteins encode the epigenetic memory of cellular positional identity by establishing inheritable domains of repressive and active chromatin within the Hox clusters. Here we demonstrate that the CCCTC-binding factor (CTCF) functions to insulate these adjacent yet antagonistic chromatin domains during embryonic stem cell differentiation into cervical motor neurons. Deletion of CTCF binding sites within the Hox clusters results in the expansion of active chromatin into the repressive domain. CTCF functions as an insulator by organizing Hox clusters into spatially disjoint domains. Ablation of CTCF binding disrupts topological boundaries such that caudal Hox genes leave the repressed domain and become subject to transcriptional activation. Hence, CTCF is required to insulate facultative heterochromatin from impinging euchromatin to produce discrete positional identities.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4428148/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4428148/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Narendra, Varun -- Rocha, Pedro P -- An, Disi -- Raviram, Ramya -- Skok, Jane A -- Mazzoni, Esteban O -- Reinberg, Danny -- GM-64844/GM/NIGMS NIH HHS/ -- GM086852/GM/NIGMS NIH HHS/ -- GM112192/GM/NIGMS NIH HHS/ -- P30 CA016087/CA/NCI NIH HHS/ -- R01 GM086852/GM/NIGMS NIH HHS/ -- R01 GM112192/GM/NIGMS NIH HHS/ -- R01 HD079682/HD/NICHD NIH HHS/ -- R01HD079682/HD/NICHD NIH HHS/ -- R37-37120/PHS HHS/ -- T32 GM007238/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 Feb 27;347(6225):1017-21. doi: 10.1126/science.1262088.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA. Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA. ; Department of Pathology, New York University School of Medicine, New York, NY 10016, USA. ; Department of Biology, New York University, New York, NY 10003, USA. ; Department of Biology, New York University, New York, NY 10003, USA. danny.reinberg@nyumc.org eom204@nyu.edu. ; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA. Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA. danny.reinberg@nyumc.org eom204@nyu.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25722416" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cell Differentiation/*genetics ; Chromatin/chemistry/genetics/*metabolism ; Dogs ; Embryonic Stem Cells/*cytology ; *Gene Expression Regulation ; *Genes, Homeobox ; Humans ; Mice ; Motor Neurons/*cytology ; Multigene Family ; Neck ; Protein Structure, Tertiary ; Rats ; Repressor Proteins/chemistry/genetics/*metabolism
    Print ISSN: 0036-8075
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