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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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Detalles Bibliográficos
Autores principales: Shiraishi, Tetsuya, Matsuyama, Shinako, Kitano, Hiroaki
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2900289/
https://www.ncbi.nlm.nih.gov/pubmed/20628618
http://dx.doi.org/10.1371/journal.pcbi.1000851
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author Shiraishi, Tetsuya
Matsuyama, Shinako
Kitano, Hiroaki
author_facet Shiraishi, Tetsuya
Matsuyama, Shinako
Kitano, Hiroaki
author_sort Shiraishi, Tetsuya
collection PubMed
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.
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spelling pubmed-29002892010-07-13 Large-Scale Analysis of Network Bistability for Human Cancers Shiraishi, Tetsuya Matsuyama, Shinako Kitano, Hiroaki PLoS Comput Biol Research Article 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. Public Library of Science 2010-07-08 /pmc/articles/PMC2900289/ /pubmed/20628618 http://dx.doi.org/10.1371/journal.pcbi.1000851 Text en Shiraishi et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Shiraishi, Tetsuya
Matsuyama, Shinako
Kitano, Hiroaki
Large-Scale Analysis of Network Bistability for Human Cancers
title 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_short Large-Scale Analysis of Network Bistability for Human Cancers
title_sort large-scale analysis of network bistability for human cancers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2900289/
https://www.ncbi.nlm.nih.gov/pubmed/20628618
http://dx.doi.org/10.1371/journal.pcbi.1000851
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