Evidence map›Paper›PMID 41683148›Full record

ArticleFoods (Basel, Switzerland)2026

Integrating Transcriptomics and Metabolomics to Elucidate the Molecular Mechanisms Underlying Beef Quality Variations.

Fengying Ma, Le Zhou, Yanchun Bao, Lili Guo, Jiaxin Sun, Shuai Li, Lin Zhu, Risu Na, Caixia Shi, Mingjuan Gu and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Foods (Basel, Switzerland), 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

11 authors.

Fengying MaCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Le ZhouCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Yanchun BaoCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Lili GuoCollege of Life Science, Inner Mongolia Agricultural University, Hohhot 010018, China.ORCID 0000-0002-0387-2045
Jiaxin SunCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.ORCID 0000-0001-9288-0284
Shuai LiCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Lin ZhuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Risu NaCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Caixia ShiCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Mingjuan GuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.ORCID 0000-0002-8244-9519
Wenguang ZhangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.

Funding

Science and Technology Department of Inner Mongolia Autonomous Region 2022JBGS0025Science and Technology Department of Inner Mongolia Autonomous Region 2023YFHH0058
6 · The paper itself

Abstract

Elucidating the molecular mechanisms underlying beef quality differences is crucial for precision breeding of high-quality cattle. In this study, we first characterized the myofibrillar morphology of high-quality (H group) and low-quality (L group) beef samples using hematoxylin-eosin (HE) staining. Transcriptomic and metabolomic analyses were then conducted to reveal the molecular regulatory basis of quality variation. HE staining revealed highly significant differences in muscle fiber area and diameter between H and L groups (

Indexed as

bovine meat qualityHE stainingmetabolome profilingmuscle fibertranscriptome profiling

Identifiers

PMID41683148
PMCPMC12897461

What OpenQuestion holds

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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 OpenQuestion graph.