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CASA: a comprehensive database resource for the COVID-19 Alternative Splicing Atlas

BACKGROUND: As a key process in transcriptional regulatory mechanisms, alternative splicing (AS) plays a crucial role in maintaining the diversity of RNA and protein expression, and mediates the immune response in infectious diseases, especially for the COVID-19. Therefore, urgent data gathering and...

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Autores principales: Chen, Yaxin, Wang, Gang, Li, Jingyi, Xia, Lei, Zhu, Lin, Li, Wenxing, Luo, Qiang, Liao, Yinlu, Lin, Yao, Bi, Liyun, Chen, Hubin, Chu, Jiemei, Li, Yueqi, Su, Jinming, Ye, Li, Jiang, Jun-jun, Liang, Hao, Li, Weimin, An, Sanqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583055/
https://www.ncbi.nlm.nih.gov/pubmed/36266726
http://dx.doi.org/10.1186/s12967-022-03699-8
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author Chen, Yaxin
Wang, Gang
Li, Jingyi
Xia, Lei
Zhu, Lin
Li, Wenxing
Luo, Qiang
Liao, Yinlu
Lin, Yao
Bi, Liyun
Chen, Hubin
Chu, Jiemei
Li, Yueqi
Su, Jinming
Ye, Li
Jiang, Jun-jun
Liang, Hao
Li, Weimin
An, Sanqi
author_facet Chen, Yaxin
Wang, Gang
Li, Jingyi
Xia, Lei
Zhu, Lin
Li, Wenxing
Luo, Qiang
Liao, Yinlu
Lin, Yao
Bi, Liyun
Chen, Hubin
Chu, Jiemei
Li, Yueqi
Su, Jinming
Ye, Li
Jiang, Jun-jun
Liang, Hao
Li, Weimin
An, Sanqi
author_sort Chen, Yaxin
collection PubMed
description BACKGROUND: As a key process in transcriptional regulatory mechanisms, alternative splicing (AS) plays a crucial role in maintaining the diversity of RNA and protein expression, and mediates the immune response in infectious diseases, especially for the COVID-19. Therefore, urgent data gathering and more research of AS profiles in microbe-infected human cells are needed to improve understanding of COVID-19 and related infectious diseases. Herein, we have created CASA, the COVID-19 Alternative Splicing Atlas to provide a convenient computing platform for studies of AS in COVID-19 and COVID-19-related infectious diseases. METHODS: In CASA, we reanalyzed thousands of RNA-seq datasets generated from 65 different tissues, organoids and cell lines to systematically obtain quantitative data on AS events under different conditions. A total of 262,994 AS events from various infectious diseases with differing severity were detected and visualized in this database. In order to explore the potential function of dynamics AS events, we performed analysis of functional annotations and drug-target interactions affected by AS in each dataset. RNA-binding proteins (RBPs), which may regulate these dynamic AS events are also provided for users in this database. RESULTS: CASA displays microbe-induced alterations of the host cell splicing landscape across different virus families and helps users identify condition-specific splicing patterns, as well as their potential regulators. CASA may greatly facilitate the exploration of AS profiles and novel mechanisms of host cell splicing by viral manipulation. CASA is freely available at http://www.splicedb.net/casa/. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03699-8.
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spelling pubmed-95830552022-10-20 CASA: a comprehensive database resource for the COVID-19 Alternative Splicing Atlas Chen, Yaxin Wang, Gang Li, Jingyi Xia, Lei Zhu, Lin Li, Wenxing Luo, Qiang Liao, Yinlu Lin, Yao Bi, Liyun Chen, Hubin Chu, Jiemei Li, Yueqi Su, Jinming Ye, Li Jiang, Jun-jun Liang, Hao Li, Weimin An, Sanqi J Transl Med Research BACKGROUND: As a key process in transcriptional regulatory mechanisms, alternative splicing (AS) plays a crucial role in maintaining the diversity of RNA and protein expression, and mediates the immune response in infectious diseases, especially for the COVID-19. Therefore, urgent data gathering and more research of AS profiles in microbe-infected human cells are needed to improve understanding of COVID-19 and related infectious diseases. Herein, we have created CASA, the COVID-19 Alternative Splicing Atlas to provide a convenient computing platform for studies of AS in COVID-19 and COVID-19-related infectious diseases. METHODS: In CASA, we reanalyzed thousands of RNA-seq datasets generated from 65 different tissues, organoids and cell lines to systematically obtain quantitative data on AS events under different conditions. A total of 262,994 AS events from various infectious diseases with differing severity were detected and visualized in this database. In order to explore the potential function of dynamics AS events, we performed analysis of functional annotations and drug-target interactions affected by AS in each dataset. RNA-binding proteins (RBPs), which may regulate these dynamic AS events are also provided for users in this database. RESULTS: CASA displays microbe-induced alterations of the host cell splicing landscape across different virus families and helps users identify condition-specific splicing patterns, as well as their potential regulators. CASA may greatly facilitate the exploration of AS profiles and novel mechanisms of host cell splicing by viral manipulation. CASA is freely available at http://www.splicedb.net/casa/. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03699-8. BioMed Central 2022-10-20 /pmc/articles/PMC9583055/ /pubmed/36266726 http://dx.doi.org/10.1186/s12967-022-03699-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chen, Yaxin
Wang, Gang
Li, Jingyi
Xia, Lei
Zhu, Lin
Li, Wenxing
Luo, Qiang
Liao, Yinlu
Lin, Yao
Bi, Liyun
Chen, Hubin
Chu, Jiemei
Li, Yueqi
Su, Jinming
Ye, Li
Jiang, Jun-jun
Liang, Hao
Li, Weimin
An, Sanqi
CASA: a comprehensive database resource for the COVID-19 Alternative Splicing Atlas
title CASA: a comprehensive database resource for the COVID-19 Alternative Splicing Atlas
title_full CASA: a comprehensive database resource for the COVID-19 Alternative Splicing Atlas
title_fullStr CASA: a comprehensive database resource for the COVID-19 Alternative Splicing Atlas
title_full_unstemmed CASA: a comprehensive database resource for the COVID-19 Alternative Splicing Atlas
title_short CASA: a comprehensive database resource for the COVID-19 Alternative Splicing Atlas
title_sort casa: a comprehensive database resource for the covid-19 alternative splicing atlas
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583055/
https://www.ncbi.nlm.nih.gov/pubmed/36266726
http://dx.doi.org/10.1186/s12967-022-03699-8
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