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dc.contributor.authorMaheshri, Narendra
dc.contributor.authorZopf, Christopher John
dc.contributor.authorQuinn, Katie Julia
dc.contributor.authorZeidman, Joshua A.
dc.date.accessioned2013-10-03T11:52:43Z
dc.date.available2013-10-03T11:52:43Z
dc.date.issued2013-07
dc.date.submitted2013-01
dc.identifier.issn1553-7358
dc.identifier.issn1553-734X
dc.identifier.urihttp://hdl.handle.net/1721.1/81278
dc.description.abstractThe large variability in mRNA and protein levels found from both static and dynamic measurements in single cells has been largely attributed to random periods of transcription, often occurring in bursts. The cell cycle has a pronounced global role in affecting transcriptional and translational output, but how this influences transcriptional statistics from noisy promoters is unknown and generally ignored by current stochastic models. Here we show that variable transcription from the synthetic tetO promoter in S. cerevisiae is dominated by its dependence on the cell cycle. Real-time measurements of fluorescent protein at high expression levels indicate tetO promoters increase transcription rate ~2-fold in S/G2/M similar to constitutive genes. At low expression levels, where tetO promoters are thought to generate infrequent bursts of transcription, we observe random pulses of expression restricted to S/G2/M, which are correlated between homologous promoters present in the same cell. The analysis of static, single-cell mRNA measurements at different points along the cell cycle corroborates these findings. Our results demonstrate that highly variable mRNA distributions in yeast are not solely the result of randomly switching between periods of active and inactive gene expression, but instead largely driven by differences in transcriptional activity between G1 and S/G2/M.en_US
dc.description.sponsorshipGM095733en_US
dc.description.sponsorshipBBBE 103316en_US
dc.description.sponsorshipMIT Startup Funden_US
dc.language.isoen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pcbi.1003161en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/en_US
dc.sourcePLoSen_US
dc.titleCell-Cycle Dependence of Transcription Dominates Noise in Gene Expressionen_US
dc.typeArticleen_US
dc.identifier.citationZopf, C. J., Katie Quinn, Joshua Zeidman, and Narendra Maheshri. “Cell-Cycle Dependence of Transcription Dominates Noise in Gene Expression.” Edited by Jane Kondev. PLoS Computational Biology 9, no. 7 (July 25, 2013): e1003161.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.mitauthorZopf, Christopher Johnen_US
dc.contributor.mitauthorQuinn, Katie Juliaen_US
dc.contributor.mitauthorZeidman, Joshua A.en_US
dc.contributor.mitauthorMaheshri, Narendraen_US
dc.relation.journalPLoS Computational Biologyen_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.orderedauthorsZopf, C. J.; Quinn, Katie; Zeidman, Joshua; Maheshri, Narendraen_US
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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