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Escherichia coli transcriptome assembly from a compendium of RNA-seq data sets
Owing to the complexities of bacterial RNA biology, the transcriptomes of even the best studied bacteria are not fully understood. To help elucidate the transcriptional landscape of E. coli, we compiled a compendium of 3,376 RNA-seq data sets composed of more than 7 trillion sequenced bases, which w...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Taylor & Francis
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10392735/ https://www.ncbi.nlm.nih.gov/pubmed/36920168 http://dx.doi.org/10.1080/15476286.2023.2189331 |
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author | Tjaden, Brian |
author_facet | Tjaden, Brian |
author_sort | Tjaden, Brian |
collection | PubMed |
description | Owing to the complexities of bacterial RNA biology, the transcriptomes of even the best studied bacteria are not fully understood. To help elucidate the transcriptional landscape of E. coli, we compiled a compendium of 3,376 RNA-seq data sets composed of more than 7 trillion sequenced bases, which we evaluate with a transcript assembly pipeline. We report expression profiles for all annotated E. coli genes as well as 5,071 other transcripts. Additionally, we observe hundreds of instances of co-transcribed genes that are novel with respect to existing operon databases. By integrating data from a large number of sequencing experiments corresponding to a wide range of conditions, we are able to obtain a comprehensive view of the E. coli transcriptome. |
format | Online Article Text |
id | pubmed-10392735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-103927352023-08-02 Escherichia coli transcriptome assembly from a compendium of RNA-seq data sets Tjaden, Brian RNA Biol Brief Communication Owing to the complexities of bacterial RNA biology, the transcriptomes of even the best studied bacteria are not fully understood. To help elucidate the transcriptional landscape of E. coli, we compiled a compendium of 3,376 RNA-seq data sets composed of more than 7 trillion sequenced bases, which we evaluate with a transcript assembly pipeline. We report expression profiles for all annotated E. coli genes as well as 5,071 other transcripts. Additionally, we observe hundreds of instances of co-transcribed genes that are novel with respect to existing operon databases. By integrating data from a large number of sequencing experiments corresponding to a wide range of conditions, we are able to obtain a comprehensive view of the E. coli transcriptome. Taylor & Francis 2023-03-15 /pmc/articles/PMC10392735/ /pubmed/36920168 http://dx.doi.org/10.1080/15476286.2023.2189331 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
spellingShingle | Brief Communication Tjaden, Brian Escherichia coli transcriptome assembly from a compendium of RNA-seq data sets |
title | Escherichia coli transcriptome assembly from a compendium of RNA-seq data sets |
title_full | Escherichia coli transcriptome assembly from a compendium of RNA-seq data sets |
title_fullStr | Escherichia coli transcriptome assembly from a compendium of RNA-seq data sets |
title_full_unstemmed | Escherichia coli transcriptome assembly from a compendium of RNA-seq data sets |
title_short | Escherichia coli transcriptome assembly from a compendium of RNA-seq data sets |
title_sort | escherichia coli transcriptome assembly from a compendium of rna-seq data sets |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10392735/ https://www.ncbi.nlm.nih.gov/pubmed/36920168 http://dx.doi.org/10.1080/15476286.2023.2189331 |
work_keys_str_mv | AT tjadenbrian escherichiacolitranscriptomeassemblyfromacompendiumofrnaseqdatasets |