Analytic solutions for stochastic models of transcription
dc.contributor.author | Hosseini, Seyed Hossein | |
dc.contributor.author | University of Lethbridge. Faculty of Arts and Science | |
dc.contributor.supervisor | Roussel, Marc R. | |
dc.date.accessioned | 2017-03-08T20:50:45Z | |
dc.date.available | 2017-03-08T20:50:45Z | |
dc.date.issued | 2016 | |
dc.degree.level | Masters | en_US |
dc.description.abstract | The spatio-temporal organization of one RNA polymerase (RNAP) along a DNA strand is explored by studying a kinetic stochastic model for transcription process, the first step in gene expression. An explicit expression for the probability density of one RNAP was found and compared with stochastic simulation results from the corresponding detailed stochastic model. The explicit solution predicts that the movement of RNAP in large genes (genes of a few hundred nucleotides or more) is advective. It provides a justification for the use of delays in gene expression modeling, especially in delay-stochastic models. The kinetic model for the elongation stage of transcription was extended to two bodies, and the related Fokker-Planck equation was developed. This equation describes the evolution of the joint probability density for two RNAPs along the DNA track. | en_US |
dc.embargo | No | en_US |
dc.identifier.uri | https://hdl.handle.net/10133/4791 | |
dc.language.iso | en_US | en_US |
dc.proquest.subject | 0487 | en_US |
dc.proquest.subject | 0405 | en_US |
dc.proquestyes | Yes | en_US |
dc.publisher | Lethbridge, Alta : University of Lethbridge, Dept. of Chemistry and Biochemistry | en_US |
dc.publisher.department | Department of Chemistry and Biochemistry | en_US |
dc.publisher.faculty | Arts and Science | en_US |
dc.relation.ispartofseries | Thesis (University of Lethbridge. Faculty of Arts and Science) | en_US |
dc.subject | elongation pauses | en_US |
dc.subject | eukaryotic cell transcription | en_US |
dc.subject | non-stationary analytical solutions | en_US |
dc.subject | RNAPII transcription | en_US |
dc.subject | spatio-temporal organization | en_US |
dc.subject | stochastic kinetic method | en_US |
dc.title | Analytic solutions for stochastic models of transcription | en_US |
dc.type | Thesis | en_US |