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Stochastic modeling of eukaryotic transcription at the single nucleotide level

DNA is the genetic material of a cell and is copied in the form of pre-mRNA through
transcription in eukaryotes. RNA polymerase II is responsible for the transcription of all
genes that express proteins. Transcription is a significant source of the stochasticity in
gene expression. In this thesis, I discuss the development of a biochemically detailed
model of eukaryotic transcription, which includes pre-initiation complex (PIC) assembly,
abortive initiation, promoter-proximal pausing and termination as the points that can be
slow steps for transcription. The stochastic properties of this model are studied in detail
by stochastic simulations with some preliminary mathematical analysis. The results of
this model suggest that PIC assembly can play the most significant role in affecting the
transcription dynamics. In addition, promoter-proximal pausing has been identified as a
potential noise regulatory step in eukaryotic transcription. These results show excellent
agreement with many experimental studies. / x, 107 leaves : ill. ; 29 cm

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:ALU.w.uleth.ca/dspace#10133/3190
Date January 2011
CreatorsVashishtha, Saurabh
ContributorsRoussel, Marc R
PublisherLethbridge, Alta. : University of Lethbridge, Dept. of Chemistry and Biochemistry, c2011, Arts and Science, Department of Chemistry and Biochemistry
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
Languageen_US
Detected LanguageEnglish
TypeThesis
RelationThesis (University of Lethbridge. Faculty of Arts and Science)

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