Evidence map›Paper›PMID 40829793›Full record

ArticleJournal of animal science2025

Integrated gene co-expression network analysis and experimental validation identified integrin beta 1 as a candidate gene affecting milk production in dairy cattle.

Tingxian Deng, Peihao Sun, Xiaoya Ma, Ji Zhou, Yaqian Gong, Xiang Li, Shujun Zhang, Liguo Yang, Aixin Liang

Abstract read
In one paragraph

Article in Journal of animal science, 2025. 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
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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.

Tingxian DengKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, PR China.
Peihao SunKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, PR China.
Xiaoya MaKey Laboratory of Buffalo Genetics, Breeding and Reproduction Technology, Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning 530001, PR China.
Ji ZhouKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, PR China.
Yaqian GongKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, PR China.
Xiang LiKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, PR China.
Shujun ZhangKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, PR China.
Liguo YangKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, PR China.
Aixin LiangKey Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, PR China.ORCID 0000-0002-0017-2940

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of functional genes associated with milk production is essential for establishing effective breeding programs in dairy cattle. To date, the specific functional genes involved in milk production in dairy cows remain to be identified. In this study, we used public RNA-seq data from dairy cows and employed gene co-expression network analysis to identify the integrin beta 1 (ITGB1) as a potential candidate gene related to lactation. In vitro assays demonstrated that ITGB1 knockdown in bovine mammary epithelial cells (MAC-T) inhibited cell proliferation, increased apoptosis, and reduced triglyceride levels. Transcriptomic analysis further revealed that ITGB1 knockdown resulted in differential expression of 503 genes, which were significantly enriched in the FoxO, IL-17, and HIF-1 signaling pathways. Moreover, ITGB1 knockdown caused a reduction in the phosphorylation of both AKT and FoxO1. Conversely, SC79-mediated activation of AKT promoted the phosphorylation and nuclear export of FoxO1, which in turn inhibited the expression of pro-apoptotic factors such as BIM and BAX, thereby attenuating the pro-apoptotic effects induced by ITGB1 knockdown in MAC-T cells. Our findings indicate that ITGB1 is a functional gene regulating milk production and a promising candidate gene for selective breeding in dairy cattle.

Indexed as

Gene Expression RegulationGene Regulatory NetworksIntegrin beta1LactationMilkAnimalsCattleFemaleMammary Glands, AnimalIntegrin beta1apoptosisdairy cattlegene co-expression network analysisITGB1mammary epithelial cellsproliferation

Identifiers

PMID40829793
PMCPMC12461706

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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.