Expanding the landscape of chromatin modification (CM)-related functional domains and genes in human.

Chromatin modification (CM) plays a key role in regulating transcription, DNA replication, repair and recombination. However, our knowledge of these processes in humans remains very limited. Here we use computational approaches to study proteins and functional domains involved in CM in humans. We an...

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Main Authors: Shuye Pu, Andrei L Turinsky, James Vlasblom, Tuan On, Xuejian Xiong, Andrew Emili, Zhaolei Zhang, Jack Greenblatt, John Parkinson, Shoshana J Wodak
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2010-11-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC2993927?pdf=render
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spelling doaj-68d982af51c741bb9f832615d4a2ffc52020-11-25T01:46:38ZengPublic Library of Science (PLoS)PLoS ONE1932-62032010-11-01511e1412210.1371/journal.pone.0014122Expanding the landscape of chromatin modification (CM)-related functional domains and genes in human.Shuye PuAndrei L TurinskyJames VlasblomTuan OnXuejian XiongAndrew EmiliZhaolei ZhangJack GreenblattJohn ParkinsonShoshana J WodakChromatin modification (CM) plays a key role in regulating transcription, DNA replication, repair and recombination. However, our knowledge of these processes in humans remains very limited. Here we use computational approaches to study proteins and functional domains involved in CM in humans. We analyze the abundance and the pair-wise domain-domain co-occurrences of 25 well-documented CM domains in 5 model organisms: yeast, worm, fly, mouse and human. Results show that domains involved in histone methylation, DNA methylation, and histone variants are remarkably expanded in metazoan, reflecting the increased demand for cell type-specific gene regulation. We find that CM domains tend to co-occur with a limited number of partner domains and are hence not promiscuous. This property is exploited to identify 47 potentially novel CM domains, including 24 DNA-binding domains, whose role in CM has received little attention so far. Lastly, we use a consensus Machine Learning approach to predict 379 novel CM genes (coding for 329 proteins) in humans based on domain compositions. Several of these predictions are supported by very recent experimental studies and others are slated for experimental verification. Identification of novel CM genes and domains in humans will aid our understanding of fundamental epigenetic processes that are important for stem cell differentiation and cancer biology. Information on all the candidate CM domains and genes reported here is publicly available.http://europepmc.org/articles/PMC2993927?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Shuye Pu
Andrei L Turinsky
James Vlasblom
Tuan On
Xuejian Xiong
Andrew Emili
Zhaolei Zhang
Jack Greenblatt
John Parkinson
Shoshana J Wodak
spellingShingle Shuye Pu
Andrei L Turinsky
James Vlasblom
Tuan On
Xuejian Xiong
Andrew Emili
Zhaolei Zhang
Jack Greenblatt
John Parkinson
Shoshana J Wodak
Expanding the landscape of chromatin modification (CM)-related functional domains and genes in human.
PLoS ONE
author_facet Shuye Pu
Andrei L Turinsky
James Vlasblom
Tuan On
Xuejian Xiong
Andrew Emili
Zhaolei Zhang
Jack Greenblatt
John Parkinson
Shoshana J Wodak
author_sort Shuye Pu
title Expanding the landscape of chromatin modification (CM)-related functional domains and genes in human.
title_short Expanding the landscape of chromatin modification (CM)-related functional domains and genes in human.
title_full Expanding the landscape of chromatin modification (CM)-related functional domains and genes in human.
title_fullStr Expanding the landscape of chromatin modification (CM)-related functional domains and genes in human.
title_full_unstemmed Expanding the landscape of chromatin modification (CM)-related functional domains and genes in human.
title_sort expanding the landscape of chromatin modification (cm)-related functional domains and genes in human.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2010-11-01
description Chromatin modification (CM) plays a key role in regulating transcription, DNA replication, repair and recombination. However, our knowledge of these processes in humans remains very limited. Here we use computational approaches to study proteins and functional domains involved in CM in humans. We analyze the abundance and the pair-wise domain-domain co-occurrences of 25 well-documented CM domains in 5 model organisms: yeast, worm, fly, mouse and human. Results show that domains involved in histone methylation, DNA methylation, and histone variants are remarkably expanded in metazoan, reflecting the increased demand for cell type-specific gene regulation. We find that CM domains tend to co-occur with a limited number of partner domains and are hence not promiscuous. This property is exploited to identify 47 potentially novel CM domains, including 24 DNA-binding domains, whose role in CM has received little attention so far. Lastly, we use a consensus Machine Learning approach to predict 379 novel CM genes (coding for 329 proteins) in humans based on domain compositions. Several of these predictions are supported by very recent experimental studies and others are slated for experimental verification. Identification of novel CM genes and domains in humans will aid our understanding of fundamental epigenetic processes that are important for stem cell differentiation and cancer biology. Information on all the candidate CM domains and genes reported here is publicly available.
url http://europepmc.org/articles/PMC2993927?pdf=render
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