Evidence mapPaperPMID 41053413Full record

ArticleScientific reports2025

A single-cell transcriptomic study of milk cells from dairy cows with divergent lactation performance.

Jiahui Ren, Zhenzhen Zhang, Mi Tang, Zihan Wen, Changjun Luo, Zhenxing Qiang, Xiaoqian Cai, Hui Wang, Qiuying Wang, Yajing Ji and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 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. Review
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

13 authors.

Jiahui RenKey Laboratory of Dairy Science, Ministry of Education, Food Science College, Northeast Agricultural University, Harbin, 150030, China.
Zhenzhen ZhangNational Engineering Research Center of Dairy Health for Maternal and Child, Beijing Sanyuan Foods Co. Ltd., Beijing, China.
Mi TangKey Laboratory of Dairy Science, Ministry of Education, Food Science College, Northeast Agricultural University, Harbin, 150030, China.
Zihan WenKey Laboratory of Dairy Science, Ministry of Education, Food Science College, Northeast Agricultural University, Harbin, 150030, China.
Changjun LuoNational Engineering Research Center of Dairy Health for Maternal and Child, Beijing Sanyuan Foods Co. Ltd., Beijing, China.
Zhenxing QiangNational Engineering Research Center of Dairy Health for Maternal and Child, Beijing Sanyuan Foods Co. Ltd., Beijing, China.
Xiaoqian CaiNational Engineering Research Center of Dairy Health for Maternal and Child, Beijing Sanyuan Foods Co. Ltd., Beijing, China.
Hui WangNational Engineering Research Center of Dairy Health for Maternal and Child, Beijing Sanyuan Foods Co. Ltd., Beijing, China.
Qiuying WangNational Engineering Research Center of Dairy Health for Maternal and Child, Beijing Sanyuan Foods Co. Ltd., Beijing, China.
Yajing JiNational Engineering Research Center of Dairy Health for Maternal and Child, Beijing Sanyuan Foods Co. Ltd., Beijing, China.
Weichang QiaoNational Engineering Research Center of Dairy Health for Maternal and Child, Beijing Sanyuan Foods Co. Ltd., Beijing, China.
Junying ZhaoNational Engineering Research Center of Dairy Health for Maternal and Child, Beijing Sanyuan Foods Co. Ltd., Beijing, China.
Lijun ChenKey Laboratory of Dairy Science, Ministry of Education, Food Science College, Northeast Agricultural University, Harbin, 150030, China. chenlijun@sanyuan.com.cn.

Funding

Beijing Capital Agribusiness & Foods Group Science and Technology Project SNSPKJ(2022)03Beijing Innovation Team of Livestock Industry Technology System Grant No. BAIC05Beijing Science and Technology Plan Grant No. Z221100006422012
6 · The paper itself

Abstract

High-lactation cows exhibit advantages in milk yield and quality compared to low-lactation cows; however, the underlying mechanisms remain unclear. Based on the demand for high-quality milk sources in the food industry, this study used single-cell sequencing technology (scRNA-seq) on the 10 × Chromium platform to analyze the milk cells of 10 Holstein cows (5 in the high-lactation group and 5 in the low-lactation group). The seven cell types included two types of epithelial cells (epithelial and secretory epithelial cells) and five types of immune cells (neutrophils, T cells, macrophages, B cells, and dendritic cells). Further sub-clustering analysis identified three epithelial cell types and nine T-cell subsets, and their differentiation paths were depicted through pseudo temporal analysis. Inter-group comparisons revealed differential genes and signaling pathways that affect lactation performance, such as lactation-related pathways (prolactin, protein export, thermogenesis) and immune-related pathways (Toll-like receptor, cytokine-receptor interaction, and NF-κB). In addition, this study elucidated the complex signaling relationships between epithelial and immune cells, especially the impact of CyPA, ICAM, and SELL signaling pathways on lactation. Moreover, additional analyses of macrophage and neutrophil subpopulations further revealed their interactions with epithelial cells, providing complementary insights into immune regulation during lactation.This study enriches the knowledge of cow lactation biology and provides a reference for the food industry to screen high-quality milk sources and optimize dairy processing technology.

Indexed as

LactationMilkSingle-Cell AnalysisTranscriptomeAnimalsCattleDairyingEpithelial CellsFemaleGene Expression ProfilingSignal TransductionCell atlasHigh-lactation cowsLow-lactation cowsSingle-cell RNA sequencing

Identifiers

PMID41053413
PMCPMC12501235

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.