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    Wyświetlanie 1-4 z 4
    Tytuł:
    Single-cell sequencing reveals lineage-specific dynamic genetic regulation of gene expression during human cardiomyocyte differentiation.
    Autorzy:
    Elorbany R; Interdisciplinary Scientist Training Program, University of Chicago, Chicago, Illinois, United States of America.
    Popp JM; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America.
    Rhodes K; Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America.
    Strober BJ; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America.
    Barr K; Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America.
    Qi G; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America.
    Gilad Y; Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America.; Department of Medicine, University of Chicago, Chicago, Illinois, United States of America.
    Battle A; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America.; Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, United States of America.; Department of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America.
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    Źródło:
    PLoS genetics [PLoS Genet] 2022 Jan 21; Vol. 18 (1), pp. e1009666. Date of Electronic Publication: 2022 Jan 21 (Print Publication: 2022).
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural
    MeSH Terms:
    Gene Expression Profiling/*methods
    Induced Pluripotent Stem Cells/*cytology
    Myocytes, Cardiac/*cytology
    Single-Cell Analysis/*methods
    Cell Culture Techniques ; Cell Differentiation ; Cell Line ; Cell Lineage ; Gene Expression Regulation ; Humans ; Induced Pluripotent Stem Cells/chemistry ; Myocytes, Cardiac/chemistry ; RNA-Seq
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Transcriptomic signatures across human tissues identify functional rare genetic variation.
    Autorzy:
    Ferraro NM; Biomedical Informatics Training Program, Stanford University, Stanford, CA, USA.
    Strober BJ; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
    Einson J; Department of Biomedical Informatics, Columbia University, New York, NY, USA.; New York Genome Center, New York, NY, USA.
    Abell NS; Department of Genetics, Stanford University, Stanford, CA, USA.
    Aguet F; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
    Barbeira AN; Section of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA.
    Brandt M; New York Genome Center, New York, NY, USA.; Department of Systems Biology, Columbia University, New York, NY, USA.
    Bucan M; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA.
    Castel SE; New York Genome Center, New York, NY, USA.; Department of Systems Biology, Columbia University, New York, NY, USA.
    Davis JR; Department of Pathology, Stanford University, Stanford, CA, USA.
    Greenwald E; Department of Genetics, Stanford University, Stanford, CA, USA.
    Hess GT; Department of Genetics, Stanford University, Stanford, CA, USA.
    Hilliard AT; Palo Alto Veterans Institute for Research, Palo Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto Health Care System, Palo Alto, CA, USA.
    Kember RL; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA.
    Kotis B; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.
    Park Y; Department of Systems Pharmacology and Translational Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
    Peloso G; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
    Ramdas S; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA.
    Scott AJ; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA.
    Smail C; Biomedical Informatics Training Program, Stanford University, Stanford, CA, USA.
    Tsang EK; Department of Pathology, Stanford University, Stanford, CA, USA.
    Zekavat SM; Medical & Population Genomics, Yale School of Medicine and Broad Institute of MIT and Harvard, Cambridge, MA, USA.
    Ziosi M; New York Genome Center, New York, NY, USA.
    Aradhana; Department of Genetics, Stanford University, Stanford, CA, USA.
    Ardlie KG; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
    Assimes TL; Palo Alto Veterans Institute for Research, Palo Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto Health Care System, Palo Alto, CA, USA.; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
    Bassik MC; Department of Genetics, Stanford University, Stanford, CA, USA.
    Brown CD; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA.
    Correa A; University of Mississippi Medical Center, Jackson, MS, USA.
    Hall I; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA.
    Im HK; Section of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA.
    Li X; Department of Pathology, Stanford University, Stanford, CA, USA.; Shanghai Institutes for Biological Sciences, CAS-MPG Partner Institute for Computational Biology, Chinese Academy of Sciences, Shanghai, China.
    Natarajan P; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.; Department of Medicine, Harvard Medical School, Boston, MA, USA.; Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA.
    Lappalainen T; New York Genome Center, New York, NY, USA.; Department of Systems Biology, Columbia University, New York, NY, USA.
    Mohammadi P; New York Genome Center, New York, NY, USA. .; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.; Scripps Translational Science Institute, La Jolla, CA, USA.
    Montgomery SB; Department of Genetics, Stanford University, Stanford, CA, USA. .; Department of Pathology, Stanford University, Stanford, CA, USA.
    Battle A; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA. .; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
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    Corporate Authors:
    TOPMed Lipids Working Group
    GTEx Consortium
    Źródło:
    Science (New York, N.Y.) [Science] 2020 Sep 11; Vol. 369 (6509). Date of Electronic Publication: 2020 Sep 10.
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural
    MeSH Terms:
    Genetic Variation*
    Genome, Human*
    Multifactorial Inheritance*
    Transcriptome*
    Humans ; Organ Specificity
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Dynamic genetic regulation of gene expression during cellular differentiation.
    Autorzy:
    Strober BJ; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
    Elorbany R; Committee on Genetics, Genomics, and Systems Biology, University of Chicago, Chicago, IL 60637, USA.; Interdisciplinary Scientist Training Program, University of Chicago, Chicago, IL 60637, USA.
    Rhodes K; Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
    Krishnan N; Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA.
    Tayeb K; Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD 21218, USA.
    Battle A; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA. .; Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA.
    Gilad Y; Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA. .; Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
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    Źródło:
    Science (New York, N.Y.) [Science] 2019 Jun 28; Vol. 364 (6447), pp. 1287-1290.
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Gene Expression Regulation*
    Cell Differentiation/*genetics
    Myocytes, Cardiac/*cytology
    Cell Line ; Humans ; Pluripotent Stem Cells/cytology ; Quantitative Trait Loci ; Sequence Analysis, RNA
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    A method to predict the impact of regulatory variants from DNA sequence.
    Autorzy:
    Lee D; McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
    Gorkin DU; McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
    Baker M; McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
    Strober BJ; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
    Asoni AL; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
    McCallion AS; McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
    Beer MA; 1] McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland, USA. [2] Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
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    Źródło:
    Nature genetics [Nat Genet] 2015 Aug; Vol. 47 (8), pp. 955-61. Date of Electronic Publication: 2015 Jun 15.
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural
    MeSH Terms:
    Polymorphism, Single Nucleotide*
    Computational Biology/*methods
    Genetic Predisposition to Disease/*genetics
    Regulatory Sequences, Nucleic Acid/*genetics
    Animals ; Autoimmune Diseases/genetics ; Base Sequence ; Cell Line, Tumor ; Deoxyribonuclease I/metabolism ; Enhancer Elements, Genetic/genetics ; Genome, Human/genetics ; Genome-Wide Association Study/methods ; Hep G2 Cells ; Humans ; Mice ; Mutation ; Quantitative Trait Loci/genetics ; Reproducibility of Results ; Risk Factors ; Support Vector Machine
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
      Wyświetlanie 1-4 z 4

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