Evidence map›Paper›PMID 31705780›Full record

ReviewMolecular microbiology2020

The power of cooperation: Experimental and computational approaches in the functional characterization of bacterial sRNAs.

Jens Georg, David Lalaouna, Shengwei Hou, Steffen C Lott, Isabelle Caldelari, Stefano Marzi, Wolfgang R Hess, Pascale Romby

Open access · hybridAbstract readReview
In one paragraph

Review in Molecular microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Article
  3. A small RNA fromVirulence · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Investigating the role of theFEMS microbes · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Thirty Years of sRNA-Mediated Regulation inInternational journal of molecular sciences · 2022
    Review
  17. Article
  18. Article
  19. Insights Into the Impact of Small RNA SprC on the Metabolism and Virulence ofFrontiers in cellular and infection microbiology · 2022
    Article
  20. 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

8 authors at 2 institutions in 2 countries.

Jens GeorgFaculty of Biology, Genetics and Experimental Bioinformatics, University of Freiburg, Freiburg, Germany.ORCID 0000-0002-7746-5522
David LalaounaArchitecture et Réactivité de l'ARN, CNRS, Université de Strasbourg, Strasbourg, France.ORCID 0000-0002-0347-5816
Shengwei HouFaculty of Biology, Genetics and Experimental Bioinformatics, University of Freiburg, Freiburg, Germany.ORCID 0000-0002-4474-7443
Steffen C LottFaculty of Biology, Genetics and Experimental Bioinformatics, University of Freiburg, Freiburg, Germany.
Isabelle CaldelariArchitecture et Réactivité de l'ARN, CNRS, Université de Strasbourg, Strasbourg, France.ORCID 0000-0002-1427-4569
Stefano MarziArchitecture et Réactivité de l'ARN, CNRS, Université de Strasbourg, Strasbourg, France.ORCID 0000-0003-0399-4613
Wolfgang R HessFaculty of Biology, Genetics and Experimental Bioinformatics, University of Freiburg, Freiburg, Germany.ORCID 0000-0002-5340-3423
Pascale RombyArchitecture et Réactivité de l'ARN, CNRS, Université de Strasbourg, Strasbourg, France.ORCID 0000-0002-4250-6048
Centre National de la Recherche Scientifique · FRUniversity of Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trans-acting small regulatory RNAs (sRNAs) are key players in the regulation of gene expression in bacteria. There are hundreds of different sRNAs in a typical bacterium, which in contrast to eukaryotic microRNAs are more heterogeneous in length, sequence composition, and secondary structure. The vast majority of sRNAs function post-transcriptionally by binding to other RNAs (mRNAs, sRNAs) through rather short regions of imperfect sequence complementarity. Besides, every single sRNA may interact with dozens of different target RNAs and impact gene expression either negatively or positively. These facts contributed to the view that the entirety of the regulatory targets of a given sRNA, its targetome, is challenging to identify. However, recent developments show that a more comprehensive sRNAs targetome can be achieved through the combination of experimental and computational approaches. Here, we give a short introduction into these methods followed by a description of two sRNAs, RyhB, and RsaA, to illustrate the particular strengths and weaknesses of these approaches in more details. RyhB is an sRNA involved in iron homeostasis in Enterobacteriaceae, while RsaA is a modulator of virulence in Staphylococcus aureus. Using such a combined strategy, a better appreciation of the sRNA-dependent regulatory networks is now attainable.

Indexed as

BacteriaComputational BiologyEnterobacteriaceaeGene ExpressionGene Expression Regulation, BacterialGenes, BacterialRNA, BacterialRNA, MessengerRNA, Small UntranslatedStaphylococcus aureusRNA, BacterialRNA, MessengerRNA, Small UntranslatedCopraRNAMAPSpost-transcriptional regulationsRNAsStaphylococcus aureus

Identifiers

PMID31705780
PMCPMC7154689
OpenAlexW2985377429

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.