Evidence map›Paper›PMID 42365320›Full record

ArticleGenome biology2026

A longitudinal single-nucleus transcriptomic atlas of bovine placentation reveals dynamic cellular hierarchies and regulatory programs.

Guanghui Tan, Xiaoru Yan, Xuesha Cao, Ao Zhang, Tao Shi, Yaqi Zhou, Xi Guo, Haoping Wang, Hengkuan Li, Jiezhang Li and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Guanghui Tan *Key Laboratory of Animal Genetics, Breeding, and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.ORCID http://orcid.org/0000-0001-6465-8715
Xiaoru Yan *Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Xuesha Cao *Key Laboratory of Animal Genetics, Breeding, and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Ao Zhang *Key Laboratory of Animal Genetics, Breeding, and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Tao ShiKey Laboratory of Animal Genetics, Breeding, and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Yaqi ZhouKey Laboratory of Animal Genetics, Breeding, and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Xi GuoKey Laboratory of Animal Genetics, Breeding, and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Haoping WangCollege of Veterinary Medicine, Institute of Zoonosis, Jilin University, Changchun, Jilin, 130062, China.
Hengkuan LiKey Laboratory of Animal Genetics, Breeding, and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Jiezhang LiSchool of Animal Technology and Innovation, Institute of Agricultural Technology, Suranaree University of Technology, 111 University Avenue, Muang, Nakhon Ratchasima, 30000, Thailand.
Yingran LiuKey Laboratory of Animal Genetics, Breeding, and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Xihong WangKey Laboratory of Animal Genetics, Breeding, and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Yu JiangKey Laboratory of Animal Genetics, Breeding, and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China. yu.jiang@nwafu.edu.cn.ORCID http://orcid.org/0000-0003-4821-3585
Yi ZhengKey Laboratory of Animal Genetics, Breeding, and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China. y.zheng@nwafu.edu.cn.ORCID https://orcid.org/0000-0003-0152-2671

Funding

National Key R&D Program of China 2022YFF1000100National Key R&D Program of China 2023YFD1300402Science and Technology Development Program of Shaanxi Province 2025SYS-SZSYS-23
6 · The paper itself

Abstract

backgroundElucidating cellular hierarchies and regulatory mechanisms of placental development across gestation is critical for understanding pregnancy maintenance and improving reproductive outcomes in mammals, including cattle. However, a comprehensive, temporally resolved single-cell characterization of the bovine placenta has remained lacking.

resultsWe construct a longitudinal single-nucleus transcriptomic atlas comprising 311,299 placental cells and nuclei across 13 developmental timepoints (E12, E14, E16, E18, E24, E30, E50, E60, E85, E110, E180, E240, and E280). We identify 13 major cell types and 14 trophoblast subtypes, revealing pronounced cellular heterogeneity and stage-specific transcriptional programs. Regulatory analyses highlight HAND1 and DLX5 as candidate key regulators of maternal recognition of pregnancy. Trajectory inference demonstrates that binucleate cells arise from specific uninucleate cell subpopulations around E24, with differentiation governed by genomic imprinting and metabolic reprogramming. Integration with genome-wide association study data identifies eight early trophoblast subtypes significantly associated with gestation length, along with candidate pathways and risk genes, including CYCS, HMGA1, and VDAC1, under strong evolutionary constraint. Additionally, we find that placental macrophages emerge from E30 in cattle and show significant associations with pregnancy loss in both cattle and humans, sharing conserved risk pathways.

conclusionsThis study provides a comprehensive spatiotemporal single-cell atlas of bovine placental development, defining cellular hierarchies, lineage dynamics, and regulatory networks at the maternal-fetal interface. These findings offer a valuable resource and conceptual framework for understanding pregnancy maintenance and for improving reproductive traits in ruminants.

Indexed as

Cell NucleusPlacentationTranscriptomeAnimalsCattleFemaleGene Expression ProfilingGene Expression Regulation, DevelopmentalPlacentaPregnancySingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTrophoblasts

Identifiers

PMID42365320
PMCPMC13587516

What Socratic holds

Textmetadata
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.