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Combinatorial Binding in Human and Mouse Embryonic Stem Cells Identifies Conserved Enhancers Active in Early Embryonic Development

Overview of attention for article published in PLoS Computational Biology, December 2011
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Title
Combinatorial Binding in Human and Mouse Embryonic Stem Cells Identifies Conserved Enhancers Active in Early Embryonic Development
Published in
PLoS Computational Biology, December 2011
DOI 10.1371/journal.pcbi.1002304
Pubmed ID
Authors

Jonathan Göke, Marc Jung, Sarah Behrens, Lukas Chavez, Sean O'Keeffe, Bernd Timmermann, Hans Lehrach, James Adjaye, Martin Vingron

Abstract

Transcription factors are proteins that regulate gene expression by binding to cis-regulatory sequences such as promoters and enhancers. In embryonic stem (ES) cells, binding of the transcription factors OCT4, SOX2 and NANOG is essential to maintain the capacity of the cells to differentiate into any cell type of the developing embryo. It is known that transcription factors interact to regulate gene expression. In this study we show that combinatorial binding is strongly associated with co-localization of the transcriptional co-activator Mediator, H3K27ac and increased expression of nearby genes in embryonic stem cells. We observe that the same loci bound by Oct4, Nanog and Sox2 in ES cells frequently drive expression in early embryonic development. Comparison of mouse and human ES cells shows that less than 5% of individual binding events for OCT4, SOX2 and NANOG are shared between species. In contrast, about 15% of combinatorial binding events and even between 53% and 63% of combinatorial binding events at enhancers active in early development are conserved. Our analysis suggests that the combination of OCT4, SOX2 and NANOG binding is critical for transcription in ES cells and likely plays an important role for embryogenesis by binding at conserved early developmental enhancers. Our data suggests that the fast evolutionary rewiring of regulatory networks mainly affects individual binding events, whereas "gene regulatory hotspots" which are bound by multiple factors and active in multiple tissues throughout early development are under stronger evolutionary constraints.

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Geographical breakdown

Country Count As %
United States 6 4%
France 2 1%
United Kingdom 2 1%
Germany 1 <1%
Denmark 1 <1%
Portugal 1 <1%
Russia 1 <1%
China 1 <1%
Unknown 129 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 28%
Researcher 37 26%
Student > Master 20 14%
Student > Bachelor 10 7%
Professor 8 6%
Other 20 14%
Unknown 9 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 51%
Biochemistry, Genetics and Molecular Biology 38 26%
Medicine and Dentistry 7 5%
Computer Science 2 1%
Mathematics 2 1%
Other 8 6%
Unknown 13 9%