title: Effects of the promoter open complex formation on gene expression dynamics.
abstract: Little is known about the biological mechanisms that shape the distribution of intervals between the completion of RNA molecules (T(p)RNA) , and thus transcriptional noise. We characterize numerically and analytically how the promoter open complex delay (tau(P)) and the transcription initiation rate (k(t)) shape T(p)RNA. From this, we assess the noise and mean of transcript levels and show that these can be tuned both independently and simultaneously by tau(P) and k(t). Finally, we characterize how tau(P) affects bursting in RNA production and show that the tau(P) measured for a lac promoter best fits independent measurements of the burst distribution of the same promoter. Since tau(P) affects noise in gene expression, and given that it is sequence dependent, it is likely to be evolvable.
authors.affiliation: Computational Systems Biology Research Group, Department of Signal Processing, Tampere University of Technology, FI-33101 Tampere, Finland.
authors.forename: Andre S
authors.initials: AS
authors.lastname: Ribeiro
authors.forename: Antti
authors.initials: A
authors.lastname: Häkkinen
authors.forename: Henrik
authors.initials: H
authors.lastname: Mannerström
authors.forename: Jason
authors.initials: J
authors.lastname: Lloyd-Price
authors.forename: Olli
authors.initials: O
authors.lastname: Yli-Harja
mesh_terms: D003198:Computer Simulation; D015870:Gene Expression / Q000502:physiology*; D008957:Models, Genetic; D011401:Promoter Regions, Genetic; D012322:RNA Precursors / Q000378:metabolism; D012343:RNA, Transfer / Q000378:metabolism; D013269:Stochastic Processes; D013997:Time Factors; D014158:Transcription, Genetic / Q000502:physiology
chemical_list: D012322:RNA Precursors; D012343:RNA, Transfer