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Single Cell RNA-seq Analysis of Telomeric Transcripts.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Single Cell RNA-seq Analysis of Telomeric Transcripts.
作者:	Ulianova, Evgenia.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, 2023
面頁冊數:	51 p.
附註:	Source: Masters Abstracts International, Volume: 84-07.
附註:	Includes supplementary digital materials.
附註:	Advisor: Horvath, Anelia.
Contained By:	Masters Abstracts International84-07.
標題:	Bioinformatics.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30000281
ISBN:	9798368437347

Single Cell RNA-seq Analysis of Telomeric Transcripts.
Ulianova, Evgenia.

Single Cell RNA-seq Analysis of Telomeric Transcripts. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 51 p.

Source: Masters Abstracts International, Volume: 84-07.

Thesis (M.S.)--The George Washington University, 2023.

This item must not be sold to any third party vendors.

Telomeres are repetitive DNA regions located at the termini of eukaryotic chromosomes. These structures prevent loss of functional genome at every cell division, as well as protect the chromosome ends from fusion with other chromosomes and from the inappropriate induction of DNA damage response. Factors critical to the function of telomeres include the Telomeric-Repeat Containing RNA (TERRA) transcribed from telomere regions. TERRA has been shown to exhibit cross-regulation with a number of telomere maintenance factors, including shelterin and telomerase. Additionally, TERRA is known to modulate telomeric chromatin as well as recruit a number of complexes to the telomeric DNA. Still, much of TERRA biology remains to be elucidated. In this study we sought to (1) identify and quantify TERRA expressions at the level of a single cell, (2) analyze gene-expression patterns associated with TERRA expression, and (3) investigate distinctions in cell phenotypes based on TERRA expression. To perform these analyses, we applied existing and newly developed tools on 25 tumor and normal publicly available single-cell RNA sequencing (scRNA-seq) datasets that profile the single-cell gene expressions of samples from prostate cancer, cholangiocarcinoma, neuroblastoma, normal fetal adrenal and normal embryo. Applying our novel method, for the first time we quantitatively detect TERRA expression at the single cell level, and show that TERRA-expressing cells exhibit whole-transcriptome profiles distinct from the rest of the cells in a dataset. This observation was consistent across different cancer and normal datasets. We show that evaluating TERRA expression at the dimension of a cell holds great potential for shedding light on TERRA biology.

ISBN: 9798368437347Subjects--Topical Terms:

194415
Bioinformatics.
Subjects--Index Terms:

Sequencing

Single Cell RNA-seq Analysis of Telomeric Transcripts.
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245 1 0 $a Single Cell RNA-seq Analysis of Telomeric Transcripts.
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300 $a 51 p.
500 $a Source: Masters Abstracts International, Volume: 84-07.
500 $a Includes supplementary digital materials.
500 $a Advisor: Horvath, Anelia.
502 $a Thesis (M.S.)--The George Washington University, 2023.
506 $a This item must not be sold to any third party vendors.
520 $a Telomeres are repetitive DNA regions located at the termini of eukaryotic chromosomes. These structures prevent loss of functional genome at every cell division, as well as protect the chromosome ends from fusion with other chromosomes and from the inappropriate induction of DNA damage response. Factors critical to the function of telomeres include the Telomeric-Repeat Containing RNA (TERRA) transcribed from telomere regions. TERRA has been shown to exhibit cross-regulation with a number of telomere maintenance factors, including shelterin and telomerase. Additionally, TERRA is known to modulate telomeric chromatin as well as recruit a number of complexes to the telomeric DNA. Still, much of TERRA biology remains to be elucidated. In this study we sought to (1) identify and quantify TERRA expressions at the level of a single cell, (2) analyze gene-expression patterns associated with TERRA expression, and (3) investigate distinctions in cell phenotypes based on TERRA expression. To perform these analyses, we applied existing and newly developed tools on 25 tumor and normal publicly available single-cell RNA sequencing (scRNA-seq) datasets that profile the single-cell gene expressions of samples from prostate cancer, cholangiocarcinoma, neuroblastoma, normal fetal adrenal and normal embryo. Applying our novel method, for the first time we quantitatively detect TERRA expression at the single cell level, and show that TERRA-expressing cells exhibit whole-transcriptome profiles distinct from the rest of the cells in a dataset. This observation was consistent across different cancer and normal datasets. We show that evaluating TERRA expression at the dimension of a cell holds great potential for shedding light on TERRA biology.
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650 4 $a Bioinformatics. $3 194415
650 4 $a Molecular biology. $3 188737
653 $a Sequencing
653 $a Single-cell
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653 $a TERRA
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773 0 $t Masters Abstracts International $g 84-07.
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793 $a English
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