Evidence map›Paper›PMID 36787218›Full record

ReviewBioscience reports2023

FinO/ProQ-family proteins: an evolutionary perspective.

Zhen Liao, Alexandre Smirnov

Open access · goldAbstract readReview
In one paragraph

Review in Bioscience reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  11. Generation of single-cysteinemicroPublication biology · 2024
    Article
  12. Article
  13. Antimicrobial resistance and mechanisms of epigenetic regulation.Frontiers in cellular and infection microbiology · 2023
    Review
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

2 authors at 1 institution in 1 country.

Zhen LiaoUMR7156 - Génétique Moléculaire, Génomique, Microbiologie (GMGM), University of Strasbourg, CNRS, France.
Alexandre SmirnovUMR7156 - Génétique Moléculaire, Génomique, Microbiologie (GMGM), University of Strasbourg, CNRS, France.ORCID 0000-0002-9142-7979
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-binding proteins are key actors of post-transcriptional networks. Almost exclusively studied in the light of their interactions with RNA ligands and the associated functional events, they are still poorly understood as evolutionary units. In this review, we discuss the FinO/ProQ family of bacterial RNA chaperones, how they evolve and spread across bacterial populations and what properties and opportunities they provide to their host cells. We reflect on major conserved and divergent themes within the family, trying to understand how the same ancestral RNA-binding fold, augmented with additional structural elements, could yield either highly specialised proteins or, on the contrary, globally acting regulatory hubs with a pervasive impact on gene expression. We also consider dominant convergent evolutionary trends that shaped their RNA chaperone activity and recurrently implicated the FinO/ProQ-like proteins in bacterial DNA metabolism, translation and virulence. Finally, we offer a new perspective in which FinO/ProQ-family regulators emerge as active evolutionary players with both negative and positive roles, significantly impacting the evolutionary modes and trajectories of their bacterial hosts.

Indexed as

Escherichia coli ProteinsRNA, BacterialBacterial ProteinsMolecular ChaperonesVirulenceBacterial ProteinsEscherichia coli ProteinsMolecular ChaperonesRNA, BacterialevolutionFinOProQRNA-binding proteinsRNA chaperone

Identifiers

PMID36787218
PMCPMC9977716
OpenAlexW4320709466

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.