Evidence map›Paper›PMID 41789914›Full record

ArticlemBio2026

mGem: Horses for courses in mapping bacterial small RNA interaction networks.

Simon L Dove, Sahar Melamed

Abstract read
In one paragraph

Article in mBio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Simon L DoveDivision of Infectious Diseases, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-3758-608X
Sahar MelamedDepartment of Microbiology and Molecular Genetics, Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0003-1360-1297

Funding

Global post-transcriptional regulators in P. aeruginosaR01AI143771 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI SIMON L DOVE · 2020 to 2026
$4.3M
Israel Science Foundation 2859/22Israel Science Foundation 826/22National Science Foundation 2409820NIAID NIH HHS R01 AI143771NIH HHS AI143771United States-Israel Binational Science Foundation 2023755
6 · The paper itself

Abstract

Over the past few decades, it has become increasingly clear that small RNAs (sRNAs) play important regulatory roles in bacteria. These RNA species often work in concert with RNA chaperones such as Hfq that facilitate their base-pairing with target mRNAs. The mapping of sRNA interaction networks through the identification of the RNA species that sRNAs base-pair with can therefore provide critical insights into the potential regulatory roles sRNAs play. Indeed, sRNA interaction networks can be complex, with some bacteria producing more than a hundred different sRNAs, each capable of targeting anywhere from a single mRNA to several hundred different mRNAs. Here, we highlight two high-throughput approaches, RNA interaction by ligation and sequencing and intracellular RNA interaction by ligation and sequencing, that enable transcriptome-wide identification of sRNA interaction partners. Both methods capture RNA-RNA interactions

Indexed as

BacteriaGene Regulatory NetworksRNA, BacterialRNA, Small UntranslatedGene Expression Regulation, BacterialHigh-Throughput Nucleotide SequencingHost Factor 1 ProteinRNA, MessengerHost Factor 1 ProteinRNA, BacterialRNA, MessengerRNA, Small UntranslatedHfqiRIL-seqpost-transcriptional regulationProQRIL-seqRNA–RNA interactionssRNA

Identifiers

PMID41789914
PMCPMC13059813

What OpenQuestion holds

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Registered trials

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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.