Large-scale analysis of network bistability for human cancers.

PLoS Computational Biology
Tetsuya ShiraishiHiroaki Kitano

Abstract

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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Datasets Mentioned

BETA
E-GEOD-10700
E-GEOD-10718
E-GEOD-10072
E-GEOD-6764

Software Mentioned

MedScan
ArrayExpress
Affymetrix Expression Console
Cytoscape

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