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HumanTestisDB: A Comprehensive Atlas of Testicular Transcriptomes and Cellular Interactions

  • Mengjie Wang
  • , Laihua Li
  • , Qing Cheng
  • , Hao Zhang
  • , Zhaode Liu
  • , Yiqiang Cui
  • , Jiahao Sha
  • , Yan Yuan

Research output: Contribution to journalArticlepeer-review

Abstract

Advances in single-cell technology have enabled the detailed mapping of testicular cell transcriptomes, which is essential for understanding spermatogenesis. However, the fragmented nature of age-specific data from various literature sources has hindered comprehensive analysis. To overcome this, the Human Testis Database (HumanTestisDB) was developed, consolidating multiple human testicular sequencing datasets to address this limitation. Through extensive investigation, 38 unique cell types were identified, providing a detailed perspective on cellular variety. Furthermore, the database systematically categorizes samples into eight developmental stages, offering a structured framework to comprehend the temporal dynamics of testicular development. Each stage features comprehensive maps of cell-cell interactions, elucidating the complex communication network inside the testicular microenvironment at particular developmental stages. Moreover, by facilitating comparisons of interactions among various cell types at different stages, the database enables examining alterations that occur during critical transitions in spermatogenesis. HumanTestisDB, available at https://shalab.njmu.edu.cn/humantestisdb, offers vital insights into testicular transcriptomes and cellular interactions, serving as an essential resource for advancing research in reproductive biology.

Original languageEnglish (US)
Article numberqzaf015
JournalGenomics, Proteomics and Bioinformatics
Volume23
Issue number1
DOIs
StatePublished - Feb 1 2025
Externally publishedYes

Keywords

  • Cell atlas
  • Cell-cell interaction
  • Human testis database
  • Single-cell RNA sequencing
  • Spermatogenesis

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology
  • Genetics
  • Computational Mathematics

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