Evidence map›Paper›PMID 21760622›Full record

ReviewNature reviews. Microbiology2011

Hfq and its constellation of RNA.

Jörg Vogel, Ben F Luisi

Abstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 622 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
622citing papers in PubMed, 1 pooled it
50.8field-weighted citation impact, top 1% 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

622 citing papers in PubMed, 1 synthesis or guideline pooled it, 1,034 citations in OpenAlex.

  1. Drug-resistantClinical microbiology reviews · 2025
    Pooled it
  2. Key Points to Consider When Studying RNA Remodeling by Proteins.Methods in molecular biology (Clifton, N.J.) · 2027
    Review
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  18. A bacterial translation activator with an intrinsically disordered RNA-binding region.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  19. iScience · 2026
    Article
  20. Review

562 more citing papers are in PubMed but not listed here.

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 2 institutions in 2 countries.

Jörg VogelInstitute for Molecular Infection Biology, University of Würzburg, Joseph-Schneider-Strasse, Würzburg, Germany. joerg.vogel@uni-wuerzburg.de
Ben F Luisi
University of Cambridge · GBUniversity of Würzburg · DE

Funding

Wellcome Trust 076846
6 · The paper itself

Abstract

Hfq is an RNA-binding protein that is common to diverse bacterial lineages and has key roles in the control of gene expression. By facilitating the pairing of small RNAs with their target mRNAs, Hfq affects the translation and turnover rates of specific transcripts and contributes to complex post-transcriptional networks. These functions of Hfq can be attributed to its ring-like oligomeric architecture, which presents two non-equivalent binding surfaces that are capable of multiple interactions with RNA molecules. Distant homologues of Hfq occur in archaea and eukaryotes, reflecting an ancient origin for the protein family and hinting at shared functions. In this Review, we describe the salient structural and functional features of Hfq and discuss possible mechanisms by which this protein can promote RNA interactions to catalyse specific and rapid regulatory responses in vivo.

Indexed as

Gene Expression Regulation, BacterialProtein BiosynthesisBacterial ProteinsBinding SitesHost Factor 1 ProteinModels, BiologicalModels, MolecularProtein BindingProtein MultimerizationRNA-Binding ProteinsRNA, MessengerRNA, UntranslatedBacterial ProteinsHost Factor 1 ProteinRNA-Binding ProteinsRNA, MessengerRNA, Untranslated

Identifiers

PMID21760622
PMCPMC4615618
OpenAlexW2014372073

What OpenQuestion holds

Textmetadata
LicenceTDM
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.