Evidence map›Paper›PMID 40741359›Full record

ReviewNon-coding RNA research2025

Overview of small proteins encoded by bacterial dual-function small RNAs.

Xia Cai, Hui Shan, Jiaojiao Wang, Jiaxin Qin, Huiling Gong, Jun Cai, Jin He

Abstract readReview
In one paragraph

Review in Non-coding RNA research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Xia CaiSchool of Life Science and Engineering, Lanzhou University of Technology, Lanzhou, Gansu, China.
Hui ShanSchool of Life Science and Engineering, Lanzhou University of Technology, Lanzhou, Gansu, China.
Jiaojiao WangSchool of Life Science and Engineering, Lanzhou University of Technology, Lanzhou, Gansu, China.
Jiaxin QinDepartment of Microbiology, College of Life Sciences, Nankai University, Tianjin, China.
Huiling GongSchool of Life Science and Engineering, Lanzhou University of Technology, Lanzhou, Gansu, China.
Jun CaiDepartment of Microbiology, College of Life Sciences, Nankai University, Tianjin, China.
Jin HeState Key Laboratory of Agricultural Microbiology & Hubei Hongshan Laboratory, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small RNAs (sRNAs) are widely used by bacteria to regulate diverse biological processes. Although they are generally considered "non-coding", some sRNAs (called dual-function sRNAs) have been found to encode small proteins, which are usually less than 50 amino acids in length and have long been overlooked due to significant challenges in their annotation and biochemical detection. However, in the past few decades, an increasing number of small proteins encoded by dual-function sRNAs have been reported. Previous reviews of dual-function sRNAs have mainly focused on their base-pairing nucleic acid functions, with less emphasis on the nature of their translated peptides, resulting in limited understanding of their full functional scope. This article reviews ten small proteins encoded by dual-function sRNAs and introduces their physiological functions, interacting protein partners, and the research methods used, aiming to provide new perspectives and directions for the study of small proteins and enhance understanding of bacterial regulatory mechanisms mediated by dual-function sRNAs.

Indexed as

Biological functionDual-function sRNAProtein partnerSmall protein

Identifiers

PMID40741359
PMCPMC12310071

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.