High-throughput design of bacterial anti-sense RNAs using CAREng.


Journal

Bioinformatics advances
ISSN: 2635-0041
Titre abrégé: Bioinform Adv
Pays: England
ID NLM: 9918282081306676

Informations de publication

Date de publication:
2022
Historique:
received: 24 03 2022
revised: 19 08 2022
accepted: 23 09 2022
entrez: 26 1 2023
pubmed: 27 1 2023
medline: 27 1 2023
Statut: epublish

Résumé

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. CAREng is available as a Python script and through a web portal (https://caren.carleton.ca). Supplementary data are available at

Identifiants

pubmed: 36699397
doi: 10.1093/bioadv/vbac069
pii: vbac069
pmc: PMC9710602
doi:

Types de publication

Journal Article

Langues

eng

Pagination

vbac069

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press.

Références

G3 (Bethesda). 2020 Jan 7;10(1):79-88
pubmed: 31744901
RNA Biol. 2017 Feb;14(2):206-218
pubmed: 27981881
Bioinformatics. 2009 Jun 1;25(11):1422-3
pubmed: 19304878
Mol Syst Biol. 2006;2:2006.0008
pubmed: 16738554
ACS Synth Biol. 2012 Jan 20;1(1):6-13
pubmed: 23651005
Biochim Biophys Acta Gene Regul Mech. 2020 May;1863(5):194504
pubmed: 32061884
Nucleic Acids Res. 2017 Jul 3;45(W1):W435-W439
pubmed: 28472523
Proc Natl Acad Sci U S A. 2003 Nov 25;100(24):14339-44
pubmed: 14617778
Microbiol Spectr. 2018 May;6(3):
pubmed: 29932045
Nat Protoc. 2013 Sep;8(9):1694-707
pubmed: 23928502
BMC Bioinformatics. 2009 Dec 15;10:421
pubmed: 20003500
Chem Biol. 2011 Nov 23;18(11):1379-89
pubmed: 22118672
ACS Synth Biol. 2016 Dec 16;5(12):1441-1454
pubmed: 27434774

Auteurs

Jazmin Romero (J)

Research Computing Services, Carleton University, Ottawa K1S 5B6, Canada.

Md Tanvir Islam (MT)

Research Computing Services, Carleton University, Ottawa K1S 5B6, Canada.

Ryan Taylor (R)

Research Computing Services, Carleton University, Ottawa K1S 5B6, Canada.

Cathryn Grayson (C)

Department of Biology, Carleton University, Ottawa K1S 5B6, Canada.

Andrew Schoenrock (A)

Research Computing Services, Carleton University, Ottawa K1S 5B6, Canada.

Alex Wong (A)

Department of Biology, Carleton University, Ottawa K1S 5B6, Canada.
Institute for Advancing Health Through Agriculture, Texas A&M University, College Station, TX 77845, USA.
Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX 77843, USA.

Classifications MeSH