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Quantifying full-length circular RNAs in cancer

Circular RNAs (circRNAs) are abundantly expressed in cancer. Their resistance to exonucleases enables them to have potentially stable interactions with different types of biomolecules. Alternative splicing can create different circRNA isoforms that have different sequences and unequal interaction po...

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Autores principales: Yu, Ken Hung-On, Shi, Christina Huan, Wang, Bo, Chow, Savio Ho-Chit, Chung, Grace Tin-Yun, Lung, Raymond Wai-Ming, Tan, Ke-En, Lim, Yat-Yuen, Tsang, Anna Chi-Man, Lo, Kwok-Wai, Yip, Kevin Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647826/
https://www.ncbi.nlm.nih.gov/pubmed/34663689
http://dx.doi.org/10.1101/gr.275348.121
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author Yu, Ken Hung-On
Shi, Christina Huan
Wang, Bo
Chow, Savio Ho-Chit
Chung, Grace Tin-Yun
Lung, Raymond Wai-Ming
Tan, Ke-En
Lim, Yat-Yuen
Tsang, Anna Chi-Man
Lo, Kwok-Wai
Yip, Kevin Y.
author_facet Yu, Ken Hung-On
Shi, Christina Huan
Wang, Bo
Chow, Savio Ho-Chit
Chung, Grace Tin-Yun
Lung, Raymond Wai-Ming
Tan, Ke-En
Lim, Yat-Yuen
Tsang, Anna Chi-Man
Lo, Kwok-Wai
Yip, Kevin Y.
author_sort Yu, Ken Hung-On
collection PubMed
description Circular RNAs (circRNAs) are abundantly expressed in cancer. Their resistance to exonucleases enables them to have potentially stable interactions with different types of biomolecules. Alternative splicing can create different circRNA isoforms that have different sequences and unequal interaction potentials. The study of circRNA function thus requires knowledge of complete circRNA sequences. Here we describe psirc, a method that can identify full-length circRNA isoforms and quantify their expression levels from RNA sequencing data. We confirm the effectiveness and computational efficiency of psirc using both simulated and actual experimental data. Applying psirc on transcriptome profiles from nasopharyngeal carcinoma and normal nasopharynx samples, we discover and validate circRNA isoforms differentially expressed between the two groups. Compared with the assumed circular isoforms derived from linear transcript annotations, some of the alternatively spliced circular isoforms have 100 times higher expression and contain substantially fewer microRNA response elements, showing the importance of quantifying full-length circRNA isoforms.
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spelling pubmed-86478262022-06-01 Quantifying full-length circular RNAs in cancer Yu, Ken Hung-On Shi, Christina Huan Wang, Bo Chow, Savio Ho-Chit Chung, Grace Tin-Yun Lung, Raymond Wai-Ming Tan, Ke-En Lim, Yat-Yuen Tsang, Anna Chi-Man Lo, Kwok-Wai Yip, Kevin Y. Genome Res Method Circular RNAs (circRNAs) are abundantly expressed in cancer. Their resistance to exonucleases enables them to have potentially stable interactions with different types of biomolecules. Alternative splicing can create different circRNA isoforms that have different sequences and unequal interaction potentials. The study of circRNA function thus requires knowledge of complete circRNA sequences. Here we describe psirc, a method that can identify full-length circRNA isoforms and quantify their expression levels from RNA sequencing data. We confirm the effectiveness and computational efficiency of psirc using both simulated and actual experimental data. Applying psirc on transcriptome profiles from nasopharyngeal carcinoma and normal nasopharynx samples, we discover and validate circRNA isoforms differentially expressed between the two groups. Compared with the assumed circular isoforms derived from linear transcript annotations, some of the alternatively spliced circular isoforms have 100 times higher expression and contain substantially fewer microRNA response elements, showing the importance of quantifying full-length circRNA isoforms. Cold Spring Harbor Laboratory Press 2021-12 /pmc/articles/PMC8647826/ /pubmed/34663689 http://dx.doi.org/10.1101/gr.275348.121 Text en © 2021 Yu et al.; Published by Cold Spring Harbor Laboratory Press https://creativecommons.org/licenses/by-nc/4.0/This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see https://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Method
Yu, Ken Hung-On
Shi, Christina Huan
Wang, Bo
Chow, Savio Ho-Chit
Chung, Grace Tin-Yun
Lung, Raymond Wai-Ming
Tan, Ke-En
Lim, Yat-Yuen
Tsang, Anna Chi-Man
Lo, Kwok-Wai
Yip, Kevin Y.
Quantifying full-length circular RNAs in cancer
title Quantifying full-length circular RNAs in cancer
title_full Quantifying full-length circular RNAs in cancer
title_fullStr Quantifying full-length circular RNAs in cancer
title_full_unstemmed Quantifying full-length circular RNAs in cancer
title_short Quantifying full-length circular RNAs in cancer
title_sort quantifying full-length circular rnas in cancer
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647826/
https://www.ncbi.nlm.nih.gov/pubmed/34663689
http://dx.doi.org/10.1101/gr.275348.121
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