Evidence map›Paper›PMID 41153424›Full record

ArticleGenes2025

Comprehensive Identification of miRNAs and circRNAs in the Regulation of Intramuscular and Subcutaneous Fat Deposition in Meat Ducks.

Zhixiu Wang, Tingting Zhou, Wenshuang Liang, Qianqian Song, Yong Jiang, Hao Bai, Guohong Chen, Guobin Chang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 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

8 authors.

Zhixiu WangKey Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou 225009, China.
Tingting ZhouKey Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou 225009, China.
Wenshuang LiangKey Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou 225009, China.
Qianqian SongManagement Office of the South Campus, Taishan University, Taian 271000, China.
Yong JiangKey Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou 225009, China.
Hao BaiKey Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0002-5738-4186
Guohong ChenKey Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou 225009, China.
Guobin ChangKey Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0001-5712-626X

Funding

China Agriculture Research System of MOF and MARA CARS-42-3National Key Research and Development Program of China 2023YFD1300301National Natural Science Foundation of China 32472890
6 · The paper itself

Abstract

Fat deposition is an important factor that affects meat production and its quality in livestock animals, including poultry. Non-coding RNAs (ncRNAs) play an important role in duck fat deposition. This study aims to systematically identify key regulatory molecules involved in fat deposition in 8-day-old Cherry Valley ducks through transcriptomic sequencing across four sample groups: intramuscular pre-adipocytes (IMP-0), intramuscular adipocytes after 4 days of induction (IMP-4), subcutaneous pre-adipocytes (SCP-0), and subcutaneous adipocytes after 4 days of induction (SCP-4). Differential expression analysis preliminarily identified several circRNAs and miRNAs differentially expressed during adipocyte differentiation, including novel_circ_000012, novel_circ_000037, novel_circ_000089, as well as miR-501-y, miR-378-y, and miR-3968-y. Further co-expression network analysis revealed that the network constructed during intramuscular adipocyte differentiation comprised 17 nodes and 39 edges, while the network constructed during subcutaneous adipocyte differentiation was larger, containing 39 nodes and 50 edges. Based on connectivity screening, we identified several key miRNAs, such as novel-m0630-5p, novel-m0485-5p, novel-m0672-5p, miR-5126-y, and miR-1408-y. Notably, this study uncovered several novel ceRNA regulatory axes during intramuscular and subcutaneous adipocyte differentiation, including novel_circ_001327/miR-141-y/

Indexed as

DucksMicroRNAsRNA, CircularSubcutaneous FatAdipocytesAnimalsCell DifferentiationGene Expression ProfilingGene Regulatory NetworksMeatMuscle, SkeletalTranscriptomeMicroRNAsRNA, CircularceRNAcircRNAsintramuscular fatmeat duckmiRNAssubcutaneous fat

Identifiers

PMID41153424
PMCPMC12562460

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.