Transcriptome analyses reveal key features of mouse seminal vesicle during aging

Luo, Peng;Guo, Haibin;Liu, Baoning;Zhang, Zhiqiang;Xie, Yun;Yao, Jiahui;Li, Xiangping;Bian, Jun;Zhuang, Jintao;Ouyang, Bin;Wu, Jinhua

Description

Despite the significant morphological changes that occur in the seminal vesicles with aging, the transcriptomic characteristics remain largely unexplored. To address this, we performed bulk RNA sequencing on seminal vesicle samples from mice aged 3, 13, and 21 months to uncover transcriptomic alterations. Our findings reveal that aged seminal vesicles display cystic dilatation, epithelial hypoplasia, disordered muscle layers, fibrosis, and reduced proliferation capability. A comparison between 3-month-old and 21-month-old mice indicated that leukocyte-mediated immunity and leukocyte migration were the most significantly upregulated biological processes among differentially expressed genes (DEGs). Notably, several DEGs associated with "leukocyte migration," such as Vcam1, Cxcl13, and Ccl8, exhibited an increasing trend in transcriptomic and protein expression at three different time points in the seminal vesicles of mice. Additionally, we identified multiple aging-associated DEGs, including P21 and Tnfrsf1b. Two genes (Cd209f and Ccl8) were consistently upregulated across all six regions of the male reproductive glands (testis, epididymis, and seminal vesicle) in the comparison of bulk RNA datasets from 3-month-old and 21-month-old mice. These analyses highlight an enhanced state of immune and inflammatory response in aged seminal vesicles. This study represents the first exploration of the overall transcriptome landscape of seminal vesicles in a murine model of natural aging, offering new insights into the mechanisms underlying aging-related seminal vesicle dysfunction.

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Metrics

Dataset Index

0.9

FAIR Score

85%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Taylor & Francis

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Immunology

Field

Immunology and Microbiology

Domain

Life Sciences

Confidence Score

48%

Source

Scholar Data Model

Keywords

BiochemistryMedicineCell BiologyGeneticsFOS: Biological sciencesMolecular BiologyNeurosciencePhysiologyImmunologyFOS: Clinical medicineMental HealthComputational Biology

Normalization Factors

FT

53.85

CTw

1.00

MTw

1.00