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Identification of Novel sRNAs in Mycobacterial Species

Bacterial small RNAs (sRNAs) are short transcripts that typically do not encode proteins and often act as regulators of gene expression through a variety of mechanisms. Regulatory sRNAs have been identified in many species, including Mycobacterium tuberculosis, the causative agent of tuberculosis. H...

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Autores principales: Tsai, Chen-Hsun, Baranowski, Catherine, Livny, Jonathan, McDonough, Kathleen A., Wade, Joseph T., Contreras, Lydia M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3828370/
https://www.ncbi.nlm.nih.gov/pubmed/24244498
http://dx.doi.org/10.1371/journal.pone.0079411
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author Tsai, Chen-Hsun
Baranowski, Catherine
Livny, Jonathan
McDonough, Kathleen A.
Wade, Joseph T.
Contreras, Lydia M.
author_facet Tsai, Chen-Hsun
Baranowski, Catherine
Livny, Jonathan
McDonough, Kathleen A.
Wade, Joseph T.
Contreras, Lydia M.
author_sort Tsai, Chen-Hsun
collection PubMed
description Bacterial small RNAs (sRNAs) are short transcripts that typically do not encode proteins and often act as regulators of gene expression through a variety of mechanisms. Regulatory sRNAs have been identified in many species, including Mycobacterium tuberculosis, the causative agent of tuberculosis. Here, we use a computational algorithm to predict sRNA candidates in the mycobacterial species M. smegmatis and M. bovis BCG and confirmed the expression of many sRNAs using Northern blotting. Thus, we have identified 17 and 23 novel sRNAs in M. smegmatis and M. bovis BCG, respectively. We have also applied a high-throughput technique (Deep-RACE) to map the 5′ and 3′ ends of many of these sRNAs and identified potential regulators of sRNAs by analysis of existing ChIP-seq datasets. The sRNAs identified in this work likely contribute to the unique biology of mycobacteria.
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spelling pubmed-38283702013-11-16 Identification of Novel sRNAs in Mycobacterial Species Tsai, Chen-Hsun Baranowski, Catherine Livny, Jonathan McDonough, Kathleen A. Wade, Joseph T. Contreras, Lydia M. PLoS One Research Article Bacterial small RNAs (sRNAs) are short transcripts that typically do not encode proteins and often act as regulators of gene expression through a variety of mechanisms. Regulatory sRNAs have been identified in many species, including Mycobacterium tuberculosis, the causative agent of tuberculosis. Here, we use a computational algorithm to predict sRNA candidates in the mycobacterial species M. smegmatis and M. bovis BCG and confirmed the expression of many sRNAs using Northern blotting. Thus, we have identified 17 and 23 novel sRNAs in M. smegmatis and M. bovis BCG, respectively. We have also applied a high-throughput technique (Deep-RACE) to map the 5′ and 3′ ends of many of these sRNAs and identified potential regulators of sRNAs by analysis of existing ChIP-seq datasets. The sRNAs identified in this work likely contribute to the unique biology of mycobacteria. Public Library of Science 2013-11-14 /pmc/articles/PMC3828370/ /pubmed/24244498 http://dx.doi.org/10.1371/journal.pone.0079411 Text en © 2013 Tsai et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Tsai, Chen-Hsun
Baranowski, Catherine
Livny, Jonathan
McDonough, Kathleen A.
Wade, Joseph T.
Contreras, Lydia M.
Identification of Novel sRNAs in Mycobacterial Species
title Identification of Novel sRNAs in Mycobacterial Species
title_full Identification of Novel sRNAs in Mycobacterial Species
title_fullStr Identification of Novel sRNAs in Mycobacterial Species
title_full_unstemmed Identification of Novel sRNAs in Mycobacterial Species
title_short Identification of Novel sRNAs in Mycobacterial Species
title_sort identification of novel srnas in mycobacterial species
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3828370/
https://www.ncbi.nlm.nih.gov/pubmed/24244498
http://dx.doi.org/10.1371/journal.pone.0079411
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