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VIRTUS: a pipeline for comprehensive virus analysis from conventional RNA-seq data
SUMMARY: The possibility that RNA transcripts from clinical samples contain plenty of virus RNAs has not been pursued actively so far. We here developed a new tool for analyzing virus-transcribed mRNAs, not virus copy numbers, in the data of bulk and single-cell RNA-sequencing of human cells. Our pi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745649/ https://www.ncbi.nlm.nih.gov/pubmed/33017003 http://dx.doi.org/10.1093/bioinformatics/btaa859 |
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author | Yasumizu, Yoshiaki Hara, Atsushi Sakaguchi, Shimon Ohkura, Naganari |
author_facet | Yasumizu, Yoshiaki Hara, Atsushi Sakaguchi, Shimon Ohkura, Naganari |
author_sort | Yasumizu, Yoshiaki |
collection | PubMed |
description | SUMMARY: The possibility that RNA transcripts from clinical samples contain plenty of virus RNAs has not been pursued actively so far. We here developed a new tool for analyzing virus-transcribed mRNAs, not virus copy numbers, in the data of bulk and single-cell RNA-sequencing of human cells. Our pipeline, named VIRTUS (VIRal Transcript Usage Sensor), was able to detect 762 viruses including herpesviruses, retroviruses and even SARS-CoV-2 (COVID-19), and quantify their transcripts in the sequence data. This tool thus enabled simultaneously detecting infected cells, the composition of multiple viruses within the cell, and the endogenous host-gene expression profile of the cell. This bioinformatics method would be instrumental in addressing the possible effects of covertly infecting viruses on certain diseases and developing new treatments to target such viruses. AVAILABILITY AND IMPLEMENTATION: : VIRTUS is implemented using Common Workflow Language and Docker under a CC-NC license. VIRTUS is freely available at https://github.com/yyoshiaki/VIRTUS. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-7745649 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77456492020-12-21 VIRTUS: a pipeline for comprehensive virus analysis from conventional RNA-seq data Yasumizu, Yoshiaki Hara, Atsushi Sakaguchi, Shimon Ohkura, Naganari Bioinformatics Applications Notes SUMMARY: The possibility that RNA transcripts from clinical samples contain plenty of virus RNAs has not been pursued actively so far. We here developed a new tool for analyzing virus-transcribed mRNAs, not virus copy numbers, in the data of bulk and single-cell RNA-sequencing of human cells. Our pipeline, named VIRTUS (VIRal Transcript Usage Sensor), was able to detect 762 viruses including herpesviruses, retroviruses and even SARS-CoV-2 (COVID-19), and quantify their transcripts in the sequence data. This tool thus enabled simultaneously detecting infected cells, the composition of multiple viruses within the cell, and the endogenous host-gene expression profile of the cell. This bioinformatics method would be instrumental in addressing the possible effects of covertly infecting viruses on certain diseases and developing new treatments to target such viruses. AVAILABILITY AND IMPLEMENTATION: : VIRTUS is implemented using Common Workflow Language and Docker under a CC-NC license. VIRTUS is freely available at https://github.com/yyoshiaki/VIRTUS. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-10-05 /pmc/articles/PMC7745649/ /pubmed/33017003 http://dx.doi.org/10.1093/bioinformatics/btaa859 Text en © The Author(s) 2020. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Yasumizu, Yoshiaki Hara, Atsushi Sakaguchi, Shimon Ohkura, Naganari VIRTUS: a pipeline for comprehensive virus analysis from conventional RNA-seq data |
title | VIRTUS: a pipeline for comprehensive virus analysis from conventional RNA-seq data |
title_full | VIRTUS: a pipeline for comprehensive virus analysis from conventional RNA-seq data |
title_fullStr | VIRTUS: a pipeline for comprehensive virus analysis from conventional RNA-seq data |
title_full_unstemmed | VIRTUS: a pipeline for comprehensive virus analysis from conventional RNA-seq data |
title_short | VIRTUS: a pipeline for comprehensive virus analysis from conventional RNA-seq data |
title_sort | virtus: a pipeline for comprehensive virus analysis from conventional rna-seq data |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745649/ https://www.ncbi.nlm.nih.gov/pubmed/33017003 http://dx.doi.org/10.1093/bioinformatics/btaa859 |
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