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High-throughput design of bacterial anti-sense RNAs using CAREng.
Romero, Jazmin; Islam, Md Tanvir; Taylor, Ryan; Grayson, Cathryn; Schoenrock, Andrew; Wong, Alex.
Afiliación
  • Romero J; Research Computing Services, Carleton University, Ottawa K1S 5B6, Canada.
  • Islam MT; Research Computing Services, Carleton University, Ottawa K1S 5B6, Canada.
  • Taylor R; Research Computing Services, Carleton University, Ottawa K1S 5B6, Canada.
  • Grayson C; Department of Biology, Carleton University, Ottawa K1S 5B6, Canada.
  • Schoenrock A; Research Computing Services, Carleton University, Ottawa K1S 5B6, Canada.
  • Wong A; Department of Biology, Carleton University, Ottawa K1S 5B6, Canada.
Bioinform Adv ; 2(1): vbac069, 2022.
Article en En | MEDLINE | ID: mdl-36699397
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.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Bioinform Adv Año: 2022 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Bioinform Adv Año: 2022 Tipo del documento: Article País de afiliación: Canadá
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