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High-throughput design of bacterial anti-sense RNAs using CAREng
SUMMARY: Short RNA (sRNA) modulation of gene expression is an increasingly popular tool for bacterial functional genomics. Antisense pairing between an sRNA and a target messenger RNA results in post-transcriptional down-regulation of a specific gene and can thus be used both for investigating indiv...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710602/ https://www.ncbi.nlm.nih.gov/pubmed/36699397 http://dx.doi.org/10.1093/bioadv/vbac069 |
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author | Romero, Jazmin Islam, Md Tanvir Taylor, Ryan Grayson, Cathryn Schoenrock, Andrew Wong, Alex |
author_facet | Romero, Jazmin Islam, Md Tanvir Taylor, Ryan Grayson, Cathryn Schoenrock, Andrew Wong, Alex |
author_sort | Romero, Jazmin |
collection | PubMed |
description | SUMMARY: Short RNA (sRNA) modulation of gene expression is an increasingly popular tool for bacterial functional genomics. Antisense pairing between an sRNA and a target messenger RNA results in post-transcriptional down-regulation of a specific gene and can thus be used both for investigating individual gene function and for large-scale genetic screens. sRNAs have several advantages over knockout libraries in studies of gene function, including inducibility, the capacity to interrogate essential genes and easy portability to multiple genetic backgrounds. High-throughput, systematic design of antisense RNAs will increase the efficiency and repeatability of sRNA screens. To this end, we present CAREng, the Computer-Automated sRNA Engineer. CAREng designs antisense RNAs for all coding sequences in a given genome, while checking for potential off-targets. AVAILABILITY AND IMPLEMENTATION: CAREng is available as a Python script and through a web portal (https://caren.carleton.ca). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online. |
format | Online Article Text |
id | pubmed-9710602 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97106022023-01-24 High-throughput design of bacterial anti-sense RNAs using CAREng Romero, Jazmin Islam, Md Tanvir Taylor, Ryan Grayson, Cathryn Schoenrock, Andrew Wong, Alex Bioinform Adv Application Note SUMMARY: Short RNA (sRNA) modulation of gene expression is an increasingly popular tool for bacterial functional genomics. Antisense pairing between an sRNA and a target messenger RNA results in post-transcriptional down-regulation of a specific gene and can thus be used both for investigating individual gene function and for large-scale genetic screens. sRNAs have several advantages over knockout libraries in studies of gene function, including inducibility, the capacity to interrogate essential genes and easy portability to multiple genetic backgrounds. High-throughput, systematic design of antisense RNAs will increase the efficiency and repeatability of sRNA screens. To this end, we present CAREng, the Computer-Automated sRNA Engineer. CAREng designs antisense RNAs for all coding sequences in a given genome, while checking for potential off-targets. AVAILABILITY AND IMPLEMENTATION: CAREng is available as a Python script and through a web portal (https://caren.carleton.ca). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online. Oxford University Press 2022-09-27 /pmc/articles/PMC9710602/ /pubmed/36699397 http://dx.doi.org/10.1093/bioadv/vbac069 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Application Note Romero, Jazmin Islam, Md Tanvir Taylor, Ryan Grayson, Cathryn Schoenrock, Andrew Wong, Alex High-throughput design of bacterial anti-sense RNAs using CAREng |
title | High-throughput design of bacterial anti-sense RNAs using CAREng |
title_full | High-throughput design of bacterial anti-sense RNAs using CAREng |
title_fullStr | High-throughput design of bacterial anti-sense RNAs using CAREng |
title_full_unstemmed | High-throughput design of bacterial anti-sense RNAs using CAREng |
title_short | High-throughput design of bacterial anti-sense RNAs using CAREng |
title_sort | high-throughput design of bacterial anti-sense rnas using careng |
topic | Application Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710602/ https://www.ncbi.nlm.nih.gov/pubmed/36699397 http://dx.doi.org/10.1093/bioadv/vbac069 |
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