Evidence map›Paper›PMID 41465156›Full record

ArticleGenes2025

Integrated Transcriptomic Analysis Identifies Core Hub Genes Regulating Mammary Gland Traits (Milk Quality/Lactation) in Dairy Livestock:

Qiang Zhang, Lulu Yang, Yunhan Li, Pengbo Gu, Riguleng Si, Shuai Li, Lin Zhu, Wenguang Zhang

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Qiang ZhangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Lulu YangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Yunhan LiCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Pengbo GuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Riguleng SiCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Shuai LiCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Lin ZhuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Wenguang ZhangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesMammary gland traits (milk quality and lactation performance) are economically critical for

methodsRaw transcriptomic data (77

resultsA total of 13,138 high-quality genes were retained, including 6148 DEGs, 4698 WGCNA core module genes, and 500 SHAP-high-contribution genes, yielding 178 core genes that were significantly enriched in the "translation" (

conclusionsThese findings indicate that

Indexed as

LactationMammary Glands, AnimalMilkSheep, DomesticTranscriptomeAnimalsCattleComputational BiologyFemaleGene Expression ProfilingGene Regulatory NetworksLivestockProtein Interaction MapsB. taurusmachine learningmammary glandO. ariesWGCNA

Identifiers

PMID41465156
PMCPMC12732383

What OpenQuestion 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 OpenQuestion graph.