dc.contributor.author | Ciaccio, Mark F | |
dc.contributor.author | Wagner, Joel P | |
dc.contributor.author | Chuu, Chih-Pin | |
dc.contributor.author | Lauffenburger, Douglas A | |
dc.contributor.author | Jones, Richard B | |
dc.date.accessioned | 2020-07-10T18:02:59Z | |
dc.date.available | 2020-07-10T18:02:59Z | |
dc.date.issued | 2010-01 | |
dc.date.submitted | 2009-10 | |
dc.identifier.issn | 1548-7091 | |
dc.identifier.issn | 1548-7105 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/126134 | |
dc.description.abstract | We describe microwestern arrays, which enable quantitative, sensitive and high-throughput assessment of protein abundance and modifications after electrophoretic separation of microarrayed cell lysates. This method allowed us to measure 91 phosphosites on 67 proteins at six time points after stimulation with five epidermal growth factor (EGF) concentrations in A431 human carcinoma cells. We inferred the connectivities among 15 phosphorylation sites in 10 receptor tyrosine kinases (RTKs) and two sites from Src kinase using Bayesian network modeling and two mutual information-based methods; the three inference methods yielded substantial agreement on the network topology. These results imply multiple distinct RTK coactivation mechanisms and support the notion that small amounts of experimental data collected from phenotypically diverse network states may enable network inference. | en_US |
dc.description.sponsorship | National Institutes of General Medical Sciences (Grant P50-GM0686762) | en_US |
dc.description.sponsorship | National Cancer Institute (Grant CA96504) | en_US |
dc.language.iso | en | |
dc.publisher | Springer Science and Business Media LLC | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1038/nmeth.1418 | en_US |
dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
dc.source | PMC | en_US |
dc.title | Systems analysis of EGF receptor signaling dynamics with microwestern arrays | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Ciaccio, Mark F. et al. "Systems analysis of EGF receptor signaling dynamics with microwestern arrays." Nature Methods 7, 2 (January 2010): 148–155 © 2010 Nature America, Inc | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Cell Decision Process Center | en_US |
dc.relation.journal | Nature Methods | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2020-03-12T14:18:31Z | |
dspace.date.submission | 2020-03-12T14:18:35Z | |
mit.journal.volume | 7 | en_US |
mit.journal.issue | 2 | en_US |
mit.license | PUBLISHER_POLICY | |
mit.metadata.status | Complete | |