Evidence map›Paper›PMID 39336820›Full record

ArticleGenes2024

Hepatic Transcriptome Reveals Potential Key Genes Contributing to Differential Milk Production.

Chao Du, A La Teng Zhu La, Shengtao Gao, Wenshuo Gao, Lu Ma, Dengpan Bu, Wenju Zhang

Abstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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  6. Integration of Multiomics Data Reveals Selection Characteristics ofInternational journal of molecular sciences · 2025
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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

7 authors.

Chao DuCollege of Animal Science and Technology, Shihezi University, Shihezi 271018, China.
A La Teng Zhu LaInner Mongolia Key Laboratory of Animal Nutrition and Feed Science, College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.ORCID 0000-0001-9731-1427
Shengtao GaoCollege of Life Science and Technology, Inner Mongolia Normal University, Hohhot 010018, China.ORCID 0000-0001-9282-248X
Wenshuo GaoCollege of Life Science and Technology, Inner Mongolia Normal University, Hohhot 010018, China.
Lu MaState Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Dengpan BuState Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0003-1548-5509
Wenju ZhangCollege of Animal Science and Technology, Shihezi University, Shihezi 271018, China.ORCID 0000-0002-5314-9904

Funding

Major Science and Technology Project of Xinjiang Production and Construction Corps, China 2021AA004National Natural Science Foundation of China 3240200324Natural Science Foundation of Inner Mongolia 2024QN03006
6 · The paper itself

Abstract

backgroundDespite the widespread adoption of TMR or PMR and the formulas designed to sufficiently cover the cows' requirements, individual dairy cows' milk production varies significantly. The liver is one of the most important organs in cow lactation metabolism and plays an essential role in the initiation of lactation.

objectivesThis study aimed to investigate the potential key genes in the liver contributing to the different milk production.

methodsWe enrolled 64 cows and assigned them to high or low milk yield (MY) groups according to their first 3 weeks of milk production. We performed RNAseq for 35 liver samples with 18 from prepartum and 17 from postpartum cows.

resultsThe continuous milk yield observation showed a persistently higher milk yield in high MY cows than low MY cows in the first 3 weeks. High MY cows showed better feed conversion efficiency. We identified 795 differentially expressed genes (DGEs) in the liver of high MY cows compared with low MY cows, with up-regulated genes linked to morphogenesis and development pathways. Weighted gene co-expression network analysis (WGCNA) revealed four gene modules positively correlating with milk yield, and protein and lactose yield (

conclusionsThe present study indicated the critical role of liver in milk production. Activated processes involved in morphogenesis and development in liver may contribute to the higher milk production. Eight hub genes identified in this study may provide genetic research materials for dairy cow breeding.

Indexed as

LactationLiverMilkTranscriptomeAnimalsCattleFemaleGene Expression ProfilingGene Regulatory Networksbreedinghepatic transcriptomelactation initiationmilk productionWGCNA

Identifiers

PMID39336820
PMCPMC11431119

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.