Evidence map›Paper›PMID 40596853›Full record

ArticleBMC genomics2025

Identification of candidate proteins influencing spermatogenesis in Shandong black cattle via integrated multiomics analysis.

Qiuyue Zhao, Ruili Liu, Xiuping Miao, Yanfang Mei, Xiuyuan Wang, Jiaxu Ma, Lei Zou, Renzheng Zhang, Xuejin Bai, Yajuan Dong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 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
–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

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

10 authors.

Qiuyue ZhaoLaboratory of Animal Molecular, Shandong Black Cattle Breeding Engineering Technology Center, College of Animal Science, Qingdao Agricultural University, Qingdao, 266109, China.
Ruili LiuLaboratory of Animal Molecular, Shandong Black Cattle Breeding Engineering Technology Center, College of Animal Science, Qingdao Agricultural University, Qingdao, 266109, China.
Xiuping MiaoLaboratory of Animal Molecular, Shandong Black Cattle Breeding Engineering Technology Center, College of Animal Science, Qingdao Agricultural University, Qingdao, 266109, China.
Yanfang MeiLaboratory of Animal Molecular, Shandong Black Cattle Breeding Engineering Technology Center, College of Animal Science, Qingdao Agricultural University, Qingdao, 266109, China.
Xiuyuan WangLaboratory of Animal Molecular, Shandong Black Cattle Breeding Engineering Technology Center, College of Animal Science, Qingdao Agricultural University, Qingdao, 266109, China.
Jiaxu MaLaboratory of Animal Molecular, Shandong Black Cattle Breeding Engineering Technology Center, College of Animal Science, Qingdao Agricultural University, Qingdao, 266109, China.
Lei ZouLaboratory of Animal Molecular, Shandong Black Cattle Breeding Engineering Technology Center, College of Animal Science, Qingdao Agricultural University, Qingdao, 266109, China.
Renzheng ZhangLaboratory of Animal Molecular, Shandong Black Cattle Breeding Engineering Technology Center, College of Animal Science, Qingdao Agricultural University, Qingdao, 266109, China.
Xuejin BaiBlack Cattle Seed Industry Innovation Center, Shandong Black Cattle Breeding Engineering Technology Center, College of Animal Science, Qingdao Agricultural University, Qingdao, 266109, China.
Yajuan DongLaboratory of Animal Molecular, Shandong Black Cattle Breeding Engineering Technology Center, College of Animal Science, Qingdao Agricultural University, Qingdao, 266109, China. etcenter@126.com.

Funding

This work was supported by the Shandong Province advantageous characteristic industrial Cluster construction project Shandong Agricultural Industry Word (2021) No. 22.
6 · The paper itself

Abstract

backgroundThis study was designed to identify candidate marker proteins that influence the growth and development of Shandong black cattle bull testes through multiomics joint analysis, thereby providing a certain theoretical basis for testis growth and development as well as bull selection. Eight 12-month-old Shandong Black cattle bulls were selected, and testis tissues were collected. The testes were categorized into two groups on the basis of their morphological characteristics: Group 1 (weight > 120 g) and Group 2 (weight < 120 g), with 4 animals in each group. Group 2 was employed as the control group to construct a protein and metabolite library for joint analysis to screen candidate marker proteins that affect testis spermatogenesis.

resultsThe results revealed that 1553 differential expression proteins (DEPs) were differentially expressed between the large and small testes of black Bleykett bulls, with 1219 being upregulated and 334 being downregulated. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment results revealed that the upregulated DEPs were involved primarily in the cell cycle (CDK1, CCNB, MCM4), DNA replication (MCM3, MCM4), etc. The downregulated DEPs were associated mainly with metabolic pathways (ACSM1, IMPDH1), etc. The Gene Ontology (GO) enrichment results revealed that the DEPs were significantly enriched in the categories of cytoskeleton movement. Weighted gene coexpression analysis suggested that testis weight was significantly correlated with MCM, STRADA, and SEC31B. After the DEPs were integrated, a protein-protein interaction (PPI) analysis was performed, and 10 key regulatory proteins, including MCM3, MCM4, CDK1, and CDK2, were identified. Metabolomics demonstrated that 14 upregulated metabolites were predominantly enriched Glycerolipid metabolism (uridine diphosphate glucose), and 59 downregulated metabolites were significantly enriched in metabolic pathways (hypoxanthine).

conclusionA combined analysis revealed that UDPG upregulation enhances MCM3/MCM4 activity during S phase, thereby promoting spermatogenesis. Hypoxanthine upregulation inhibits the activity of CDK1, leading to a blockage in the transition from the G2/M phase of the cell cycle, thereby inhibiting spermatogenesis. In summary, MCM3, MCM4, and CDK1 participate in regulating the process of testis spermatogenesis.

Indexed as

ProteomicsSpermatogenesisAnimalsCattleGene Expression ProfilingGene OntologyMaleMultiomicsProtein Interaction MapsTestisMultiomicsShandong black cattleSpermatogenesisTestis

Identifiers

PMID40596853
PMCPMC12211342

What OpenQuestion 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 OpenQuestion graph.