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dc.contributor.authorWu, Rongcong
dc.contributor.authorGoldsipe, Arthur C.
dc.contributor.authorSchauer, David B.
dc.contributor.authorLauffenburger, Douglas A.
dc.date.accessioned2014-08-22T14:40:32Z
dc.date.available2014-08-22T14:40:32Z
dc.date.issued2011-04
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/1721.1/88972
dc.description.abstractVertebrates are constantly threatened by the invasion of microorganisms and have evolved systems of immunity to eliminate infectious pathogens in the body. Initial sensing of microbial agents is mediated by the recognition of pathogens by means of molecular structures expressed uniquely by microbes of a given type. So-called 'Toll-like receptors' are expressed on host epithelial barrier cells play an essential role in the host defense against microbial pathogens by inducing cell responses (e.g., proliferation, death, cytokine secretion) via activation of intracellular signaling networks. As these networks, comprising multiple interconnecting dynamic pathways, represent highly complex multi-variate "information processing" systems, the signaling activities particularly critical for governing the host cell responses are poorly understood and not easily ascertained by a priori theoretical notions. We have developed over the past half-decade a "data-driven" computational modeling approach, on a 'cue-signal-response' combined experiment/computation paradigm, to elucidate key multi-variate signaling relationships governing the cell responses. In an example presented here, we study how a canonical set of six kinase pathways combine to effect microbial agent-induced apoptotic death of a macrophage cell line. One modeling technique, partial least-squares regression, yielded the following key insights: {a} signal combinations most strongly correlated to apoptotic death are orthogonal to those most strongly correlated with release of inflammatory cytokines; {b} the ratio of two key pathway activities is the most powerful predictor of microbe-induced macrophage apoptotic death; {c} the most influential time-window of this signaling activity ratio is surprisingly fast: less than one hour after microbe stimulation.en_US
dc.description.sponsorshipUnited States. Army Research Office (Institute for Collaborative Biotechnologies)en_US
dc.description.sponsorshipNational Institute of General Medical Sciences (U.S.) (Center for Cell Decision Processes)en_US
dc.language.isoen_US
dc.publisherSPIEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1117/12.889123en_US
dc.rightsArticle 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.sourceSPIEen_US
dc.titleCellular defense processes regulated by pathogen-elicited receptor signalingen_US
dc.typeArticleen_US
dc.identifier.citationWu, Rongcong, Arthur Goldsipe, David B. Schauer, and Douglas A. Lauffenburger. “Cellular Defense Processes Regulated by Pathogen-Elicited Receptor Signaling.” Edited by Harold Szu. Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX (May 13, 2011). © Society of Photo-Optical Instrumentation Engineers (SPIE)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.mitauthorWu, Rongcongen_US
dc.contributor.mitauthorGoldsipe, Arthur C.en_US
dc.contributor.mitauthorSchauer, David B.en_US
dc.contributor.mitauthorLauffenburger, Douglas A.en_US
dc.relation.journalProceedings of SPIEen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsWu, Rongcong; Goldsipe, Arthur; Schauer, David B.; Lauffenburger, Douglas A.en_US
dspace.mitauthor.errortrue
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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