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  Evidence for Gene-Specific Rather Than Transcription Rate–Dependent Histone H3 Exchange in Yeast Coding Regions.

Gat-Viks, I., & Vingron, M. (2009). Evidence for Gene-Specific Rather Than Transcription Rate–Dependent Histone H3 Exchange in Yeast Coding Regions. PLoS Computational Biology, 5(2), e1000282-e1000282. doi:10.1371/journal.pcbi.1000282.

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Genre: Journal Article
Alternative Title : PLoS Comput Biol

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journal.pcbi.1000282.pdf (Any fulltext), 484KB
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Gat-Viks, Irit1, Author
Vingron, Martin2, Author           
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1Max Planck Society, ou_persistent13              
2Gene regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479639              

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 Abstract: In eukaryotic organisms, histones are dynamically exchanged independently of DNA replication. Recent reports show that different coding regions differ in their amount of replication-independent histone H3 exchange. The current paradigm is that this histone exchange variability among coding regions is a consequence of transcription rate. Here we put forward the idea that this variability might be also modulated in a gene-specific manner independently of transcription rate. To that end, we study transcription rate–independent replication-independent coding region histone H3 exchange. We term such events relative exchange. Our genome-wide analysis shows conclusively that in yeast, relative exchange is a novel consistent feature of coding regions. Outside of replication, each coding region has a characteristic pattern of histone H3 exchange that is either higher or lower than what was expected by its RNAPII transcription rate alone. Histone H3 exchange in coding regions might be a way to add or remove certain histone modifications that are important for transcription elongation. Therefore, our results that gene-specific coding region histone H3 exchange is decoupled from transcription rate might hint at a new epigenetic mechanism of transcription regulation.

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Language(s): eng - English
 Dates: 2009-02-06
 Publication Status: Issued
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Title: PLoS Computational Biology
  Alternative Title : PLoS Comput Biol
Source Genre: Journal
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Pages: - Volume / Issue: 5 (2) Sequence Number: - Start / End Page: e1000282 - e1000282 Identifier: ISSN: 1553-7358