Evidence map›Paper›PMID 35477736›Full record

ArticleScientific reports2022

Identifying key genes in milk fat metabolism by weighted gene co-expression network analysis.

Tong Mu, Honghong Hu, Yanfen Ma, Huiyu Wen, Chaoyun Yang, Xiaofang Feng, Wan Wen, Juan Zhang, Yaling Gu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. BDH1 acetylation at K116 modulates milk fat production in dairy goats.Journal of animal science and biotechnology · 2025
    Article
  4. Article
  5. Transcriptomic and Proteomic Insights Into Buffalo Milk Fat Synthesis and the Role of IGFBP4 in BMECs.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

9 authors at 3 institutions in 1 country.

Tong MuSchool of Agriculture, Ningxia University, Yinchuan, 750021, China.
Honghong HuSchool of Agriculture, Ningxia University, Yinchuan, 750021, China.
Yanfen MaSchool of Agriculture, Ningxia University, Yinchuan, 750021, China.
Huiyu WenMaosheng Pasture of He Lanshan in Ningxia State Farm, Yinchuan, 750001, China.
Chaoyun YangSchool of Agriculture, Ningxia University, Yinchuan, 750021, China.
Xiaofang FengSchool of Agriculture, Ningxia University, Yinchuan, 750021, China.
Wan WenAnimal Husbandry Extension Station, Yinchuan, 750001, China.
Juan ZhangSchool of Agriculture, Ningxia University, Yinchuan, 750021, China.
Yaling GuSchool of Agriculture, Ningxia University, Yinchuan, 750021, China. guyl@nxu.edu.cn.
Ningxia University · CNNational Animal Husbandry Service · CNNingxia Academy of Agriculture and Forestry Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Milk fat is the most important and energy-rich substance in milk, and its content and composition are important reference elements in the evaluation of milk quality. However, the current identification of valuable candidate genes affecting milk fat is limited. IlluminaPE150 was used to sequence bovine mammary epithelial cells (BMECs) with high and low milk fat rates (MFP), the weighted gene co-expression network (WGCNA) was used to analyze mRNA expression profile data in this study. As a result, a total of 10,310 genes were used to construct WGCNA, and the genes were classified into 18 modules. Among them, violet (r = 0.74), yellow (r = 0.75) and darkolivegreen (r =  - 0.79) modules were significantly associated with MFP, and 39, 181, 75 hub genes were identified, respectively. Combining enrichment analysis and differential genes (DEs), we screened five key candidate DEs related to lipid metabolism, namely PI4K2A, SLC16A1, ATP8A2, VEGFD and ID1, respectively. Relative to the small intestine, liver, kidney, heart, ovary and uterus, the gene expression of PI4K2A is the highest in mammary gland, and is significantly enriched in GO terms and pathways related to milk fat metabolism, such as monocarboxylic acid transport, phospholipid transport, phosphatidylinositol signaling system, inositol phosphate metabolism and MAPK signaling pathway. This study uses WGCNA to form an overall view of MFP, providing a theoretical basis for identifying potential pathways and hub genes that may be involved in milk fat synthesis.

Indexed as

Lipid MetabolismMilkAnimalsCattleEpithelial CellsFemaleGene Regulatory NetworksSignal Transduction

Identifiers

PMID35477736
PMCPMC9046402
OpenAlexW4224938464

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.