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Single Cell RNA-seq Analysis of Telomeric Transcripts.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Single Cell RNA-seq Analysis of Telomeric Transcripts./
作者:	Ulianova, Evgenia.
面頁冊數:	1 online resource (51 pages)
附註:	Source: Masters Abstracts International, Volume: 84-07.
Contained By:	Masters Abstracts International84-07.
標題:	Molecular biology. -
電子資源:	click for full text (PQDT)
ISBN:	9798368437347

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

Single Cell RNA-seq Analysis of Telomeric Transcripts. - 1 online resource (51 pages)

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

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

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798368437347Subjects--Topical Terms:

583443
Molecular biology.
Subjects--Index Terms:

SequencingIndex Terms--Genre/Form:

554714
Electronic books.

Single Cell RNA-seq Analysis of Telomeric Transcripts.
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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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