Evidence map›Paper›PMID 42291107›Full record

ArticleFood chemistry. Molecular sciences2026

Integrated analysis of phenotypes and whole-transcriptome data for the preliminary exploration of molecular regulatory networks influencing beef quality.

Mengli Yang, Xue Bai, Yuan Liu, Hongen Chu, Bei Cai, Runjun Yang, Lupei Zhang, Fen Li, Yun Ma

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Food chemistry. Molecular sciences, 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

9 authors.

Mengli YangKey Laboratory of Molecular Cell Breeding of Ruminants in Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China.
Xue BaiKey Laboratory of Molecular Cell Breeding of Ruminants in Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China.
Yuan LiuKey Laboratory of Molecular Cell Breeding of Ruminants in Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China.
Hongen ChuKey Laboratory of Molecular Cell Breeding of Ruminants in Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China.
Bei CaiKey Laboratory of Molecular Cell Breeding of Ruminants in Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China.
Runjun YangCollege of Animal Science, Jilin University, Changchun 130000, China.
Lupei ZhangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Fen LiSchool of Food Science and Engineering, Ningxia University, Yinchuan 750021, China.
Yun MaKey Laboratory of Molecular Cell Breeding of Ruminants in Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Guyuan cattle are a unique indigenous genetic resource in Northwest China, characterized by favorable roughage utilization efficiency and meat production potential. However, the molecular mechanisms governing their meat quality traits remain poorly elucidated. In this exploratory study, we characterized meat quality phenotypes and transcriptomic profiles in Guyuan cattle and Wagyu cattle, which differ significantly in intramuscular fat (IMF) content. Phenotypic comparisons (

Indexed as

ceRNA networkGuyuan cattleIntramuscular fatMeat qualityShear force

Identifiers

PMID42291107
PMCPMC13255041

What Socratic 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 Socratic graph.