| Literature DB >> 33351158 |
Tatiana Filatova1,2, Nikola Popovic2, Ramon Grima3.
Abstract
Recent advances in fluorescence microscopy have made it possible to measure the fluctuations of nascent (actively transcribed) RNA. These closely reflect transcription kinetics, as opposed to conventional measurements of mature (cellular) RNA, whose kinetics is affected by additional processes downstream of transcription. Here, we formulate a stochastic model which describes promoter switching, initiation, elongation, premature detachment, pausing, and termination while being analytically tractable. We derive exact closed-form expressions for the mean and variance of nascent RNA fluctuations on gene segments, as well as of total nascent RNA on a gene. We also obtain exact expressions for the first two moments of mature RNA fluctuations and approximate distributions for total numbers of nascent and mature RNA. Our results, which are verified by stochastic simulation, uncover the explicit dependence of the statistics of both types of RNA on transcriptional parameters and potentially provide a means to estimate parameter values from experimental data.Entities:
Keywords: Distributions of RNA molecules; Master equation; RNA fluctuations; Singular perturbation theory; Stochastic gene expression; Stochastic simulations
Mesh:
Substances:
Year: 2020 PMID: 33351158 PMCID: PMC7755674 DOI: 10.1007/s11538-020-00827-7
Source DB: PubMed Journal: Bull Math Biol ISSN: 0092-8240 Impact factor: 1.758