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dc.contributor.supervisor Roussel, Marc R. Vashishtha, Saurabh 2012-10-22T17:30:24Z 2012-10-22T17:30:24Z 2011
dc.description x, 107 leaves : ill. ; 29 cm en_US
dc.description.abstract 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. en_US
dc.language.iso en_US en_US
dc.publisher Lethbridge, Alta. : University of Lethbridge, Dept. of Chemistry and Biochemistry, c2011 en_US
dc.relation.ispartofseries Thesis (University of Lethbridge. Faculty of Arts and Science) en_US
dc.subject Eukaryotic cells -- Research en_US
dc.subject Genetic transcription -- Research en_US
dc.subject RNA poymerases -- Research en_US
dc.subject Stochastic models en_US
dc.subject Nucleotides en_US
dc.title Stochastic modeling of eukaryotic transcription at the single nucleotide level en_US
dc.type Thesis en_US
dc.publisher.faculty Arts and Science en_US
dc.publisher.department Department of Chemistry and Biochemistry en_US Masters

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