Mapping and analysis of chromatin state dynamics in nine human cell types View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-05-05

AUTHORS

Jason Ernst, Pouya Kheradpour, Tarjei S. Mikkelsen, Noam Shoresh, Lucas D. Ward, Charles B. Epstein, Xiaolan Zhang, Li Wang, Robbyn Issner, Michael Coyne, Manching Ku, Timothy Durham, Manolis Kellis, Bradley E. Bernstein

ABSTRACT

Chromatin profiling has emerged as a powerful means of genome annotation and detection of regulatory activity. The approach is especially well suited to the characterization of non-coding portions of the genome, which critically contribute to cellular phenotypes yet remain largely uncharted. Here we map nine chromatin marks across nine cell types to systematically characterize regulatory elements, their cell-type specificities and their functional interactions. Focusing on cell-type-specific patterns of promoters and enhancers, we define multicell activity profiles for chromatin state, gene expression, regulatory motif enrichment and regulator expression. We use correlations between these profiles to link enhancers to putative target genes, and predict the cell-type-specific activators and repressors that modulate them. The resulting annotations and regulatory predictions have implications for the interpretation of genome-wide association studies. Top-scoring disease single nucleotide polymorphisms are frequently positioned within enhancer elements specifically active in relevant cell types, and in some cases affect a motif instance for a predicted regulator, thus suggesting a mechanism for the association. Our study presents a general framework for deciphering cis-regulatory connections and their roles in disease. More... »

PAGES

43

References to SciGraph publications

  • 2000-05. Gene Ontology: tool for the unification of biology in NATURE GENETICS
  • 2006-12. STEM: a tool for the analysis of short time series gene expression data in BMC BIOINFORMATICS
  • 2008-02. Six new loci associated with blood low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides in humans in NATURE GENETICS
  • 2010-08. Biological, clinical and population relevance of 95 loci for blood lipids in NATURE
  • 2008-03. Direct multiplexed measurement of gene expression with color-coded probe pairs in NATURE BIOTECHNOLOGY
  • 2010-03. Genome-wide association study of hematological and biochemical traits in a Japanese population in NATURE GENETICS
  • 2009-09. Loci on 7p12.2, 10q21.2 and 14q11.2 are associated with risk of childhood acute lymphoblastic leukemia in NATURE GENETICS
  • 2000-12. Mouse models in the study of the Ets family of transcription factors in ONCOGENE
  • 2009-11. Genome-wide association study in a Chinese Han population identifies nine new susceptibility loci for systemic lupus erythematosus in NATURE GENETICS
  • 2008-12. Meta-analysis of genome-wide association data identifies four new susceptibility loci for colorectal cancer in NATURE GENETICS
  • 2009-12. Nuclear accumulation and activation of p53 in embryonic stem cells after DNA damage in BMC CELL BIOLOGY
  • 2009-06. Genome-wide association study identifies eight loci associated with blood pressure in NATURE GENETICS
  • 2009-05. Histone modifications at human enhancers reflect global cell-type-specific gene expression in NATURE
  • 2006-05. GenePattern 2.0 in NATURE GENETICS
  • 2010-04. Histone variants — ancient wrap artists of the epigenome in NATURE REVIEWS MOLECULAR CELL BIOLOGY
  • 2007-03. Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome in NATURE GENETICS
  • 2007-07. Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project in NATURE
  • 2007-08. Genome-wide maps of chromatin state in pluripotent and lineage-committed cells in NATURE
  • 2010-08. Genome-wide meta-analyses identify three loci associated with primary biliary cirrhosis in NATURE GENETICS
  • 2009-11. A genome-wide meta-analysis identifies 22 loci associated with eight hematological parameters in the HaemGen consortium in NATURE GENETICS
  • 2009-11. Multiple loci influence erythrocyte phenotypes in the CHARGE Consortium in NATURE GENETICS
  • 2010-04. Nucleosome dynamics define transcriptional enhancers in NATURE GENETICS
  • 2010-07. Transposable elements have rewired the core regulatory network of human embryonic stem cells in NATURE GENETICS
  • 2008-06. Domain organization of human chromosomes revealed by mapping of nuclear lamina interactions in NATURE
  • 2007-12. Efficient and accurate P-value computation for Position Weight Matrices in ALGORITHMS FOR MOLECULAR BIOLOGY
  • 2010-04. Understanding mechanisms underlying human gene expression variation with RNA sequencing in NATURE
  • 2010-06. Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci in NATURE GENETICS
  • 2010-04. Transcriptome genetics using second generation sequencing in a Caucasian population in NATURE
  • 2006-08. Feeder-independent culture of human embryonic stem cells in NATURE METHODS
  • 2006-11. Compact, universal DNA microarrays to comprehensively determine transcription-factor binding site specificities in NATURE BIOTECHNOLOGY
  • 2010-05. Widespread transcription at neuronal activity-regulated enhancers in NATURE
  • 2009-09-10. Genomic views of distant-acting enhancers in NATURE
  • 2010-08. Discovery and characterization of chromatin states for systematic annotation of the human genome in NATURE BIOTECHNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nature09906

    DOI

    http://dx.doi.org/10.1038/nature09906

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1043304663

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/21441907


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