title: Stochastic modeling of regulation of gene expression by multiple small RNAs.
abstract: A wealth of new research has highlighted the critical roles of small noncoding RNAs (sRNAs) in diverse processes, such as quorum sensing and cellular responses to stress. The pathways controlling these processes often have a central motif composed of a master regulator protein whose expression is controlled by multiple sRNAs. However, the stochastic gene expression of a single target gene regulated by multiple sRNAs is currently not well understood. To address this issue, we analyze a stochastic model of regulation of gene expression by multiple sRNAs. For this model, we derive exact analytic results for the regulated protein distribution, including compact expressions for its mean and variance. The derived results provide insights into the roles of multiple sRNAs in fine-tuning the noise in gene expression. In particular, we show that, in contrast to regulation by a single sRNA, multiple sRNAs provide a mechanism for independently controlling the mean and variance of the regulated protein distribution.
authors.affiliation: Department of Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA. cbaker@vt.edu
authors.forename: Charles
authors.initials: C
authors.lastname: Baker
authors.forename: Tao
authors.initials: T
authors.lastname: Jia
authors.forename: Rahul V
authors.initials: RV
authors.lastname: Kulkarni
mesh_terms: D003198:Computer Simulation; D005786:Gene Expression Regulation / Q000235:genetics*; D008957:Models, Genetic; D015233:Models, Statistical; D011506:Proteins / Q000235:genetics*; D058727:RNA, Small Untranslated / Q000235:genetics*; D013269:Stochastic Processes; D015533:Transcriptional Activation / Q000235:genetics*
chemical_list: D011506:Proteins; D058727:RNA, Small Untranslated