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Discovery and Annotation of Functional Chromatin Signatures in the Human Genome

Overview of attention for article published in PLoS Computational Biology, November 2009
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Title
Discovery and Annotation of Functional Chromatin Signatures in the Human Genome
Published in
PLoS Computational Biology, November 2009
DOI 10.1371/journal.pcbi.1000566
Pubmed ID
Authors

Gary Hon, Wei Wang, Bing Ren

Abstract

Transcriptional regulation in human cells is a complex process involving a multitude of regulatory elements encoded by the genome. Recent studies have shown that distinct chromatin signatures mark a variety of functional genomic elements and that subtle variations of these signatures mark elements with different functions. To identify novel chromatin signatures in the human genome, we apply a de novo pattern-finding algorithm to genome-wide maps of histone modifications. We recover previously known chromatin signatures associated with promoters and enhancers. We also observe several chromatin signatures with strong enrichment of H3K36me3 marking exons. Closer examination reveals that H3K36me3 is found on well-positioned nucleosomes at exon 5' ends, and that this modification is a global mark of exon expression that also correlates with alternative splicing. Additionally, we observe strong enrichment of H2BK5me1 and H4K20me1 at highly expressed exons near the 5' end, in contrast to the opposite distribution of H3K36me3-marked exons. Finally, we also recover frequently occurring chromatin signatures displaying enrichment of repressive histone modifications. These signatures mark distinct repeat sequences and are associated with distinct modes of gene repression. Together, these results highlight the rich information embedded in the human epigenome and underscore its value in studying gene regulation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 280 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 5%
United Kingdom 5 2%
Germany 3 1%
Brazil 2 <1%
Spain 2 <1%
Sweden 2 <1%
Chile 1 <1%
Italy 1 <1%
Portugal 1 <1%
Other 6 2%
Unknown 243 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 82 29%
Researcher 68 24%
Professor > Associate Professor 26 9%
Student > Master 21 8%
Professor 20 7%
Other 41 15%
Unknown 22 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 156 56%
Biochemistry, Genetics and Molecular Biology 55 20%
Medicine and Dentistry 17 6%
Computer Science 12 4%
Mathematics 4 1%
Other 11 4%
Unknown 25 9%