Evidence map›Paper›PMID 38211587›Full record

ReviewCell chemical biology2024

Regulation of bacterial gene expression by non-coding RNA: It is all about time!

Adrien Chauvier, Nils G Walter

Open access · greenAbstract readReview
In one paragraph

Review in Cell chemical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 24 citations in OpenAlex.

  1. Exchange dynamics and kinetic control of gene regulation complexes.Nature reviews. Molecular cell biology · 2026
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  13. Virulence Regulation inMicroorganisms · 2025
    Review
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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

2 authors at 1 institution in 1 country.

Adrien ChauvierSingle Molecule Analysis Group and Center for RNA Biomedicine, Department of Chemistry, University of Michigan, Ann Arbor, MI, USA.
Nils G WalterSingle Molecule Analysis Group and Center for RNA Biomedicine, Department of Chemistry, University of Michigan, Ann Arbor, MI, USA. Electronic address: nwalter@umich.edu.
University of Michigan–Ann Arbor · US

Funding

The RNA nanomachines of the gene expression machinery dissected at the single molecule levelR35GM131922 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NILS G WALTER · 2019 to 2026
$6.9M
NIGMS NIH HHS R35 GM131922
6 · The paper itself

Abstract

Commensal and pathogenic bacteria continuously evolve to survive in diverse ecological niches by efficiently coordinating gene expression levels in their ever-changing environments. Regulation through the RNA transcript itself offers a faster and more cost-effective way to adapt than protein-based mechanisms and can be leveraged for diagnostic or antimicrobial purposes. However, RNA can fold into numerous intricate, not always functional structures that both expand and obscure the plethora of roles that regulatory RNAs serve within the cell. Here, we review the current knowledge of bacterial non-coding RNAs in relation to their folding pathways and interactions. We posit that co-transcriptional folding of these transcripts ultimately dictates their downstream functions. Elucidating the spatiotemporal folding of non-coding RNAs during transcription therefore provides invaluable insights into bacterial pathogeneses and predictive disease diagnostics. Finally, we discuss the implications of co-transcriptional folding andapplications of RNAs for therapeutics and drug targets.

Indexed as

RNARNA, Long NoncodingBacteriaGene ExpressionGene Expression RegulationGenes, BacterialRNA, BacterialRNA, UntranslatedRNARNA, BacterialRNA, Long NoncodingRNA, Untranslated

Identifiers

PMID38211587
PMCPMC12926874
OpenAlexW4390704327

What OpenQuestion holds

Textmetadata
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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.