Evidence map›Paper›PMID 26546513›Full record

ArticleNucleic acids research2015

Identification of bacterial sRNA regulatory targets using ribosome profiling.

Jing Wang, William Rennie, Chaochun Liu, Charles S Carmack, Karine Prévost, Marie-Pier Caron, Eric Massé, Ye Ding, Joseph T Wade

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

44 citing papers in PubMed, 79 citations in OpenAlex.

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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

9 authors at 3 institutions in 2 countries.

Jing WangWadsworth Center, New York State Department of Health, Albany, NY 12208, USA.
William RennieWadsworth Center, New York State Department of Health, Albany, NY 12208, USA.
Chaochun LiuWadsworth Center, New York State Department of Health, Albany, NY 12208, USA.
Charles S CarmackWadsworth Center, New York State Department of Health, Albany, NY 12208, USA.
Karine PrévostRNA Group, Department of Biochemistry, University of Sherbrooke, Sherbrooke, Quebec, J1H 5N4, Canada.
Marie-Pier CaronRNA Group, Department of Biochemistry, University of Sherbrooke, Sherbrooke, Quebec, J1H 5N4, Canada.
Eric MasséRNA Group, Department of Biochemistry, University of Sherbrooke, Sherbrooke, Quebec, J1H 5N4, Canada.
Ye DingWadsworth Center, New York State Department of Health, Albany, NY 12208, USA Department of Biomedical Sciences, University at Albany, Albany, NY 12201, USA.
Joseph T WadeWadsworth Center, New York State Department of Health, Albany, NY 12208, USA Department of Biomedical Sciences, University at Albany, Albany, NY 12201, USA joseph.wade@health.ny.gov.
New York State Department of Health · USUniversité de Sherbrooke · CAUniversity at Albany, State University of New York · US

Funding

Pervasive transcription in bacterial genomesDP2OD007188 · OD · WADSWORTH CENTER · PI WADE, JOSEPH THOMAS · 2010 to 2010
$2.4M
Novel Approaches to Mammalian MicroRNA Target PredictionR01GM099811 · NIGMS · WADSWORTH CENTER · PI DING, YE, LU, JUN · 2012 to 2015
$2.4M
Canadian Institutes of Health Research MOP69005NIGMS NIH HHS GM099811NIH HHS DP2 OD007188NIH HHS DP2OD007188
6 · The paper itself

Abstract

Bacteria express large numbers of non-coding, regulatory RNAs known as 'small RNAs' (sRNAs). sRNAs typically regulate expression of multiple target messenger RNAs (mRNAs) through base-pairing interactions. sRNA:mRNA base-pairing often results in altered mRNA stability and/or altered translation initiation. Computational identification of sRNA targets is challenging due to the requirement for only short regions of base-pairing that can accommodate mismatches. Experimental approaches have been applied to identify sRNA targets on a genomic scale, but these focus only on those targets regulated at the level of mRNA stability. Here, we utilize ribosome profiling (Ribo-seq) to experimentally identify regulatory targets of the Escherichia coli sRNA RyhB. We not only validate a majority of known RyhB targets using the Ribo-seq approach, but also discover many novel ones. We further confirm regulation of a selection of known and novel targets using targeted reporter assays. By mutating nucleotides in the mRNA of a newly discovered target, we demonstrate direct regulation of this target by RyhB. Moreover, we show that Ribo-seq distinguishes between mRNAs regulated at the level of RNA stability and those regulated at the level of translation. Thus, Ribo-seq represents a powerful approach for genome-scale identification of sRNA targets.

Indexed as

Gene Expression Regulation, BacterialProtein BiosynthesisCatalaseEscherichia coliEscherichia coli ProteinsMembrane Transport ProteinsOpen Reading FramesPeriplasmic ProteinsRibosomesRNA, BacterialRNA, MessengerRNA, Small UntranslatedRNA StabilitySequence Analysis, RNACatalaseEscherichia coli ProteinsfepB protein, E colikatG protein, E coliMembrane Transport ProteinsPeriplasmic ProteinsRNA, BacterialRNA, MessengerRNA, Small Untranslated

Identifiers

PMID26546513
PMCPMC4666370
OpenAlexW2118286668

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.