Large-scale analysis of network bistability for human cancers.

Large-scale analysis of network bistability for human cancers.

Protein-protein interaction and gene regulatory networks are likely to be locked in a state corresponding to a disease by the behavior of one or more bistable circuits exhibiting switch-like behavior. Sets of genes could be over-expressed or repressed when anomalies due to disease appear, and the ci...

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Main Authors: Tetsuya Shiraishi, Shinako Matsuyama, Hiroaki Kitano
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2010-01-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC2900289?pdf=render
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spelling doaj-73bff715e6834fb2b161642bc0a3c5132020-11-25T02:31:45ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582010-01-0167e100085110.1371/journal.pcbi.1000851Large-scale analysis of network bistability for human cancers.Tetsuya ShiraishiShinako MatsuyamaHiroaki KitanoProtein-protein interaction and gene regulatory networks are likely to be locked in a state corresponding to a disease by the behavior of one or more bistable circuits exhibiting switch-like behavior. Sets of genes could be over-expressed or repressed when anomalies due to disease appear, and the circuits responsible for this over- or under-expression might persist for as long as the disease state continues. This paper shows how a large-scale analysis of network bistability for various human cancers can identify genes that can potentially serve as drug targets or diagnosis biomarkers.http://europepmc.org/articles/PMC2900289?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Tetsuya Shiraishi
Shinako Matsuyama
Hiroaki Kitano
spellingShingle Tetsuya Shiraishi
Shinako Matsuyama
Hiroaki Kitano
Large-scale analysis of network bistability for human cancers.
PLoS Computational Biology
author_facet Tetsuya Shiraishi
Shinako Matsuyama
Hiroaki Kitano
author_sort Tetsuya Shiraishi
title Large-scale analysis of network bistability for human cancers.
title_short Large-scale analysis of network bistability for human cancers.
title_full Large-scale analysis of network bistability for human cancers.
title_fullStr Large-scale analysis of network bistability for human cancers.
title_full_unstemmed Large-scale analysis of network bistability for human cancers.
title_sort large-scale analysis of network bistability for human cancers.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2010-01-01
description Protein-protein interaction and gene regulatory networks are likely to be locked in a state corresponding to a disease by the behavior of one or more bistable circuits exhibiting switch-like behavior. Sets of genes could be over-expressed or repressed when anomalies due to disease appear, and the circuits responsible for this over- or under-expression might persist for as long as the disease state continues. This paper shows how a large-scale analysis of network bistability for various human cancers can identify genes that can potentially serve as drug targets or diagnosis biomarkers.
url http://europepmc.org/articles/PMC2900289?pdf=render
work_keys_str_mv AT tetsuyashiraishi largescaleanalysisofnetworkbistabilityforhumancancers
AT shinakomatsuyama largescaleanalysisofnetworkbistabilityforhumancancers
AT hiroakikitano largescaleanalysisofnetworkbistabilityforhumancancers
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