Translational Cross Talk in Gene Networks

dc.contributorVirginia Techen
dc.contributor.authorMather, William H.en
dc.contributor.authorHasty, Jeffen
dc.contributor.authorTsimring, Lev S.en
dc.contributor.authorWilliams, Ruth J.en
dc.contributor.departmentPhysicsen
dc.date.accessed2014-02-05en
dc.date.accessioned2014-02-26T19:10:04Zen
dc.date.available2014-02-26T19:10:04Zen
dc.date.issued2013-06en
dc.description.abstractIt has been shown experimentally that competition for limited translational resources by upstream mRNAs can lead to an anticorrelation between protein counts. Here, we investigate a stochastic model for this phenomenon, in which gene transcripts of different types compete for a finite pool of ribosomes. Throughout, we utilize concepts from the theory of multiclass queues to describe a qualitative shift in protein count statistics as the system transitions from being underloaded (ribosomes exceed transcripts in number) to being overloaded (transcripts exceed ribosonnes in number). The exact analytical solution of a simplified stochastic model, in which the numbers of competing mRNAs and ribosomes are fixed, exhibits weak positive correlations between steady-state protein counts when total transcript count slightly exceeds ribosome count, whereas the solution can exhibit strong negative correlations when total transcript count significantly exceeds ribosome count. Extending this analysis, we find approximate but reasonably accurate solutions for a more realistic model, in which abundances of mRNAs and ribosonnes are allowed to fluctuate randomly. Here, ribosomal fluctuations contribute positively and mRNA fluctuations contribute negatively to correlations, and when mRNA fluctuations dominate ribosomal fluctuations, a strong anticorrelation extremum reliably occurs near the transition from the underloaded to the overloaded regime.en
dc.description.sponsorshipNational Institutes of Health R01-GM079333, R01-GM089976en
dc.description.sponsorshipNational Institutes of Health (San Diego Center for Systems Biology) P50GM085764en
dc.description.sponsorshipNational Science Foundation DMS 1206772en
dc.identifier.citationMather, William H.; Hasty, Jeff; Tsimring, Lev S.; et al., "Translational Cross Talk in Gene Networks," Biophysical Journal 104(11), 2564-2572 (2013); doi: 10.1016/j.bpj.2013.04.049en
dc.identifier.doihttps://doi.org/10.1016/j.bpj.2013.04.049en
dc.identifier.issn0006-3495en
dc.identifier.urihttp://hdl.handle.net/10919/25769en
dc.identifier.urlhttp://www.sciencedirect.com/science/article/pii/S0006349513005171en
dc.language.isoen_USen
dc.publisherCELL PRESSen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectsynthetic biologyen
dc.subjectregulatory networksen
dc.subjectexpressionen
dc.subjectrnaen
dc.subjectgrowthen
dc.subjectabundanceen
dc.subjectproteinen
dc.subjectretroactivityen
dc.subjectcompetitionen
dc.subjectbacteriaen
dc.titleTranslational Cross Talk in Gene Networksen
dc.title.serialBiophysical Journalen
dc.typeArticle - Refereeden
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