Evidence map›Paper›PMID 36699397›Full record

ArticleBioinformatics advances2022

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

Jazmin Romero, Md Tanvir Islam, Ryan Taylor, Cathryn Grayson, Andrew Schoenrock, Alex Wong

Open access · goldAbstract read
In one paragraph

Article in Bioinformatics advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 57% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Jazmin RomeroResearch Computing Services, Carleton University, Ottawa K1S 5B6, Canada.
Md Tanvir IslamResearch Computing Services, Carleton University, Ottawa K1S 5B6, Canada.
Ryan TaylorResearch Computing Services, Carleton University, Ottawa K1S 5B6, Canada.
Cathryn GraysonDepartment of Biology, Carleton University, Ottawa K1S 5B6, Canada.
Andrew SchoenrockResearch Computing Services, Carleton University, Ottawa K1S 5B6, Canada.
Alex WongDepartment of Biology, Carleton University, Ottawa K1S 5B6, Canada.ORCID https://orcid.org/0000-0001-6249-3013
Carleton University · CACenter for Advancing Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Identifiers

PMID36699397
PMCPMC9710602
OpenAlexW4297231023

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.