Show simple item record

dc.contributor.authorFowler, Kevin Daniel
dc.contributor.authorKuchroo, Vijay K.
dc.contributor.authorChakraborty, Arup K.
dc.date.accessioned2012-07-24T16:25:25Z
dc.date.available2012-07-24T16:25:25Z
dc.date.issued2012-03
dc.date.submitted2011-11
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/1721.1/71783
dc.description.abstractThe reason why IL-6 induces a pro-inflammatory response, while IL-10 induces an anti-inflammatory response, despite both cytokines activating the same transcription factor, STAT3, is not well understood. It is known that IL-6 induces a transient STAT3 signal and that IL-10 induces a sustained STAT3 signal due to the STAT3-induced inhibitor SOCS3's ability to bind to the IL-6R and not the IL-10R. We sought to develop a general transcriptional network that is capable of translating sustained signals into one response, while translating transient signals into a second response. The general structure of such a network is that the transcription factor STAT3 can induce both an inflammatory response and an anti-inflammatory response by inducing two different genes. The anti-inflammatory gene can bind to and inhibit the inflammatory gene's production and the inflammatory gene can bind to its own promoter and induce its own transcription in the absence of the signal. One prediction that can be made from such a network is that in SOCS3−/− mice, where IL-6 induces a sustained STAT3 signal, that IL-6 would act as an anti-inflammatory cytokine, which has indeed been observed experimentally in the literature.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.). Director's Pioneer Awarden_US
dc.language.isoen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pone.0033018en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/en_US
dc.sourcePLoSen_US
dc.titleA Model for How Signal Duration Can Determine Distinct Outcomes of Gene Transcription Programsen_US
dc.typeArticleen_US
dc.identifier.citationFowler, Kevin D., Vijay K. Kuchroo, and Arup K. Chakraborty. “A Model for How Signal Duration Can Determine Distinct Outcomes of Gene Transcription Programs.” Ed. Laurel L. Lenz. PLoS ONE 7.3 (2012): e33018.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.approverChakraborty, Arup K.
dc.contributor.mitauthorFowler, Kevin Daniel
dc.contributor.mitauthorChakraborty, Arup K.
dc.relation.journalPLoS ONEen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsFowler, Kevin D.; Kuchroo, Vijay K.; Chakraborty, Arup K.en
dc.identifier.orcidhttps://orcid.org/0000-0003-1268-9602
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record