Computational study of transcriptional termination by using comprehensive high-throughput sequencing data

Hui, Yufan (2022) Computational study of transcriptional termination by using comprehensive high-throughput sequencing data. Doctoral thesis, University of East Anglia.

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Abstract

RNA Transcription includes three main stages, initiation, elongation and termination, as well as processing steps such as splicing and polyadenylation. Polyadenylation is closely related to termination of the transcripts and splicing is antagonistic to the pre-mature termination within the intronic region. In plant development, the expression level of the important repressor of flowering, Flowering Locus C (FLC), could be regulated through the choice of its poly(A) site by members of autonomous flowering control pathway FCA, FPA and FY. Interestingly, both FCA and FPA are plant-specific RNA-binding Proteins (RBPs) and they might function through direct binding to the RNAs. But the current research of FCA was mainly limited to the regulation of FLC and little was known about the transcriptome-wide activity of FCA beside flowering control. With comprehensive high-throughput sequencing data, including eCLIP-seq, mRNA-seq, 3'mRNA-seq and Chromatin-bond RNA-seq (CBRNA-seq), we pictured the function of FCA as a potential participator of transcriptional termination to further understand the mechanism of transcriptional termination.

Item Type:	Thesis (Doctoral)
Faculty \ School:	Faculty of Science > School of Computing Sciences
Depositing User:	Chris White
Date Deposited:	15 Aug 2022 08:08
Last Modified:	31 Aug 2024 01:38
URI:	https://ueaeprints.uea.ac.uk/id/eprint/87225
DOI:

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