Literature DB >> 32349124

VirusCircBase: a database of virus circular RNAs.

Zena Cai, Yunshi Fan, Zheng Zhang, Congyu Lu, Zhaozhong Zhu, Taijiao Jiang, Tongling Shan, Yousong Peng.   

Abstract

Circular RNAs (circRNAs) are covalently closed long noncoding RNAs critical in diverse cellular activities and multiple human diseases. Several cancer-related viral circRNAs have been identified in double-stranded DNA viruses (dsDNA), yet no systematic study about the viral circRNAs has been reported. Herein, we have performed a systematic survey of 11 924 circRNAs from 23 viral species by computational prediction of viral circRNAs from viral-infection-related RNA sequencing data. Besides the dsDNA viruses, our study has also revealed lots of circRNAs in single-stranded RNA viruses and retro-transcribing viruses, such as the Zika virus, the Influenza A virus, the Zaire ebolavirus, and the Human immunodeficiency virus 1. Most viral circRNAs had reverse complementary sequences or repeated sequences at the flanking sequences of the back-splice sites. Most viral circRNAs only expressed in a specific cell line or tissue in a specific species. Functional enrichment analysis indicated that the viral circRNAs from dsDNA viruses were involved in KEGG pathways associated with cancer. All viral circRNAs presented in the current study were stored and organized in VirusCircBase, which is freely available at http://www.computationalbiology.cn/ViruscircBase/home.html and is the first virus circRNA database. VirusCircBase forms the fundamental atlas for the further exploration and investigation of viral circRNAs in the context of public health.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  RNA-seq; bioinformatics; circular RNA; virus; virus–host interaction

Year:  2021        PMID: 32349124     DOI: 10.1093/bib/bbaa052

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  14 in total

Review 1.  Circular RNAs in Immune Response and Viral Infection.

Authors:  Lichong Yan; Y Grace Chen
Journal:  Trends Biochem Sci       Date:  2020-09-06       Impact factor: 13.807

2.  Databases, Knowledgebases, and Software Tools for Virus Informatics.

Authors:  Yuxin Lin; Yulan Qian; Xin Qi; Bairong Shen
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

3.  The Cellular and Viral circRNAs Induced by Fowl Adenovirus Serotype 4 Infection.

Authors:  Xiao-Na Liu; Xiao-Ran Guo; Ying Han; Tian Tian; Jian Sun; Bai-Shi Lei; Wu-Chao Zhang; Wan-Zhe Yuan; Kuan Zhao
Journal:  Front Microbiol       Date:  2022-06-02       Impact factor: 6.064

Review 4.  Circular RNAs and complex diseases: from experimental results to computational models.

Authors:  Chun-Chun Wang; Chen-Di Han; Qi Zhao; Xing Chen
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 11.622

Review 5.  Unconventional viral gene expression mechanisms as therapeutic targets.

Authors:  Jessica Sook Yuin Ho; Zeyu Zhu; Ivan Marazzi
Journal:  Nature       Date:  2021-05-19       Impact factor: 49.962

Review 6.  Disease-Associated Circular RNAs: From Biology to Computational Identification.

Authors:  Min Tang; Ling Kui; Guanyi Lu; Wenqiang Chen
Journal:  Biomed Res Int       Date:  2020-08-17       Impact factor: 3.411

7.  Identification and characterization of circRNAs encoded by MERS-CoV, SARS-CoV-1 and SARS-CoV-2.

Authors:  Zena Cai; Congyu Lu; Jun He; Li Liu; Yuanqiang Zou; Zheng Zhang; Zhaozhong Zhu; Xingyi Ge; Aiping Wu; Taijiao Jiang; Heping Zheng; Yousong Peng
Journal:  Brief Bioinform       Date:  2021-03-22       Impact factor: 11.622

Review 8.  Emerging roles of circular RNAs in innate immunity.

Authors:  Isabella Li; Y Grace Chen
Journal:  Curr Opin Immunol       Date:  2020-11-08       Impact factor: 7.486

Review 9.  Viruses join the circular RNA world.

Authors:  Ke-En Tan; Yat-Yuen Lim
Journal:  FEBS J       Date:  2020-12-09       Impact factor: 5.622

10.  Co-Regulation of Protein Coding Genes by Transcription Factor and Long Non-Coding RNA in SARS-CoV-2 Infected Cells: An In Silico Analysis.

Authors:  Chinmay Saha; Sayantan Laha; Raghunath Chatterjee; Nitai P Bhattacharyya
Journal:  Noncoding RNA       Date:  2021-11-29
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