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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2021
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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. |
format | Online Article Text |
id | pubmed-8647826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
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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