title: Large-scale analysis of network bistability for human cancers.
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.
authors.affiliation: Sony Computer Science Laboratories, Shinagawa-ku, Tokyo, Japan. Tetsuya.Shiraishi@jp.sony.com
authors.forename: Tetsuya
authors.initials: T
authors.lastname: Shiraishi
authors.forename: Shinako
authors.initials: S
authors.lastname: Matsuyama
authors.forename: Hiroaki
authors.initials: H
authors.lastname: Kitano
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D055808:Drug Discovery; D020869:Gene Expression Profiling; D053263:Gene Regulatory Networks; D006801:Humans; D008954:Models, Biological; D009369:Neoplasms / Q000737:chemistry / Q000235:genetics* / Q000378:metabolism*; D020411:Oligonucleotide Array Sequence Analysis; D025941:Protein Interaction Mapping; D015398:Signal Transduction
chemical_list: D014408:Biomarkers, Tumor