Evidence map›Paper›PMID 40615393›Full record

ArticleScientific data2025

A dataset of expression profile of certain microRNAs in Caenorhabditis elegans.

Yimeng Gao, Yuchuan Bai, Shipeng Hu, Zhiju Tao, Yiru Jiang, Di Zhao

Abstract readDataset
In one paragraph

Article in Scientific data, 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. 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

6 authors.

Yimeng GaoTianjin Key Laboratory of Exercise Physiology and Sports Medicine, Institute of Sport, Exercise & Health, Tianjin University of Sport, Tianjin, 300381, China.
Yuchuan BaiCollege of Life Sciences, Capital Normal University, 100048, Beijing, China.
Shipeng HuCollege of Life Sciences, Capital Normal University, 100048, Beijing, China.
Zhiju TaoCollege of Life Sciences, Capital Normal University, 100048, Beijing, China.
Yiru JiangCollege of Life Sciences, Capital Normal University, 100048, Beijing, China.
Di ZhaoTianjin Key Laboratory of Exercise Physiology and Sports Medicine, Institute of Sport, Exercise & Health, Tianjin University of Sport, Tianjin, 300381, China. qlzhaodi@163.com.ORCID 0000-0001-9449-4934

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32200486
6 · The paper itself

Abstract

MicroRNAs (miRNAs), as crucial gene regulatory molecules, participate in the regulation of biological processes through multiple mechanisms such as transcriptional repression and mRNA degradation. In this study, we first examined the expression patterns of 36 miRNAs at the L1 stage of Caenorhabditis elegans (C. elegans), revealing that the majority exhibited basal low expression levels. To investigate the evolutionary conservation of miRNAs, we selected Caenorhabditis briggsae (C. briggsae), which shares similar embryonic-to-L1-stage cell lineages with C. elegans but is taxonomically distinct, and constructed 15 miRNA reporter strains for cross-species comparison. Additionally, to elucidate the regulatory role of miRNAs in development, we generated single-gene mutants and multi-gene combinatorial mutants targeting miRNAs specifically expressed in excretory cells and quantified the phenotypic variations in excretory cells across different miRNA mutant combinations. The comprehensive dataset provided in this study will serve as a valuable resource for subsequent miRNA functional studies and candidate gene screening, thereby advancing our understanding of miRNA regulatory networks.

Indexed as

Caenorhabditis elegansMicroRNAsAnimalsGene Expression ProfilingGene Regulatory NetworksMutationMicroRNAs

Identifiers

PMID40615393
PMCPMC12227745

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.