<HashMap><database>biostudies-literature</database><scores><citationCount>0</citationCount><reanalysisCount>0</reanalysisCount><viewCount>57</viewCount><searchCount>0</searchCount></scores><additional><submitter>Cirit M</submitter><funding>NIGMS NIH HHS</funding><pagination>36736-44</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC2978602</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>285(47)</volume><pubmed_abstract>Cell responses are actuated by tightly controlled signal transduction pathways. Although the concept of an integrated signaling network replete with interpathway cross-talk and feedback regulation is broadly appreciated, kinetic data of the type needed to characterize such interactions in conjunction with mathematical models are lacking. In mammalian cells, the Ras/ERK pathway controls cell proliferation and other responses stimulated by growth factors, and several cross-talk and feedback mechanisms affecting its activation have been identified. In this work, we take a systematic approach to parse the magnitudes of multiple regulatory mechanisms that attenuate ERK activation through canonical (Ras-dependent) and non-canonical (PI3K-dependent) pathways. In addition to regulation of receptor and ligand levels, we consider three layers of ERK-dependent feedback: desensitization of Ras activation, negative regulation of MEK kinase (e.g. Raf) activities, and up-regulation of dual-specificity ERK phosphatases. Our results establish the second of these as the dominant mode of ERK self-regulation in mouse fibroblasts. We further demonstrate that kinetic models of signaling networks, trained on a sufficient diversity of quantitative data, can be reasonably comprehensive, accurate, and predictive in the dynamical sense.</pubmed_abstract><journal>The Journal of biological chemistry</journal><pubmed_title>Systematic quantification of negative feedback mechanisms in the extracellular signal-regulated kinase (ERK) signaling network.</pubmed_title><pmcid>PMC2978602</pmcid><funding_grant_id>R01 GM088987-01A2</funding_grant_id><funding_grant_id>GM088987</funding_grant_id><funding_grant_id>R01 GM088987</funding_grant_id><pubmed_authors>Cirit M</pubmed_authors><pubmed_authors>Haugh JM</pubmed_authors><pubmed_authors>Wang CC</pubmed_authors><view_count>57</view_count></additional><is_claimable>false</is_claimable><name>Systematic quantification of negative feedback mechanisms in the extracellular signal-regulated kinase (ERK) signaling network.</name><description>Cell responses are actuated by tightly controlled signal transduction pathways. Although the concept of an integrated signaling network replete with interpathway cross-talk and feedback regulation is broadly appreciated, kinetic data of the type needed to characterize such interactions in conjunction with mathematical models are lacking. In mammalian cells, the Ras/ERK pathway controls cell proliferation and other responses stimulated by growth factors, and several cross-talk and feedback mechanisms affecting its activation have been identified. In this work, we take a systematic approach to parse the magnitudes of multiple regulatory mechanisms that attenuate ERK activation through canonical (Ras-dependent) and non-canonical (PI3K-dependent) pathways. In addition to regulation of receptor and ligand levels, we consider three layers of ERK-dependent feedback: desensitization of Ras activation, negative regulation of MEK kinase (e.g. Raf) activities, and up-regulation of dual-specificity ERK phosphatases. Our results establish the second of these as the dominant mode of ERK self-regulation in mouse fibroblasts. We further demonstrate that kinetic models of signaling networks, trained on a sufficient diversity of quantitative data, can be reasonably comprehensive, accurate, and predictive in the dynamical sense.</description><dates><release>2010-01-01T00:00:00Z</release><publication>2010 Nov</publication><modification>2024-10-15T02:40:29.163Z</modification><creation>2019-03-27T00:36:33Z</creation></dates><accession>S-EPMC2978602</accession><cross_references><pubmed>20847054</pubmed><doi>10.1074/jbc.M110.148759</doi><doi>10.1074/jbc.m110.148759</doi></cross_references></HashMap>