Evidence map›Paper›PMID 40331940›Full record

ArticleThe Biochemical journal2025

Unveiling the role of srbA sRNA in biofilm formation by regulating algU, mucA, rhlA, and rsmA in Pseudomonas aeruginosa.

Piyali Saha, Samir Kumar Mukherjee, Sk Tofajjen Hossain

Abstract read
In one paragraph

Article in The Biochemical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Small non-coding RNAMicrobiology spectrum · 2026
    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

3 authors.

Piyali SahaDepartment of Microbiology, University of Kalyani, Kalyani 741235, India.ORCID 0000-0002-8728-6181
Samir Kumar MukherjeeDepartment of Microbiology, University of Kalyani, Kalyani 741235, India.ORCID 0000-0001-8841-6817
Sk Tofajjen HossainDepartment of Microbiology, University of Kalyani, Kalyani 741235, India.ORCID 0000-0002-1448-1015

Funding

Indian Council of Medical Research (ICMR) 2020-1401/CMB/ADHOC-BMS
6 · The paper itself

Abstract

The survival and increasing antimicrobial resistance of various bacteria, including clinically relevant opportunistic pathogen, Pseudomonas aeruginosa, largely depends on their biofilm architectural strength, that makes a challenge to eradicate it. Small RNAs (sRNAs) have been identified as the key modulators in regulating the expression and function of different transcriptional regulators, and the components of regulatory networks involved in bacterial biofilm formation. This study was focused to identify the regulatory role of the srbA sRNA in controlling biofilm formation in P. aeruginosa. srbA was found to be upregulated in both substratum-attached and colony biofilms compared to planktonic growth conditions. Further analysis revealed that srbA overexpressing strain produced more biofilm, whereas a significant reduction in biofilm formation was noted due to srbA deletion. Interestingly, it was also predicted from the study that srbA might regulate the expression of AlgU/MucA, the sigma and anti-sigma factor, involved in biofilm developmental network. Additionally, srbA showed possible interference on the expression of two other important biofilm regulatory genes, rhlA and rsmA. Overall, this research highlights the critical role of srbA sRNA as a central regulator of biofilm formation, and possibly the pathogenicity of P. aeruginosa. These findings might offer potential avenues for developing targeted therapeutic strategies to mitigate biofilm-related infections caused by P. aeruginosa.

Indexed as

biofilmgene expressionPseudomonas aeruginosasmall RNAsrbA

Identifiers

PMID40331940
PMCPMC12203948

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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.