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<p>The testis, with the highest number of transcriptionally active genes among human tissues, offers a unique window into how aging affects complex gene regulation. Recent advancements in single-cell RNA sequencing have enabled multi-species studies of aging-related transcriptome changes in testes. However, a comprehensive aging-related cross-species platform for analyzing testicular single-cell transcriptomes remains absent. To address this gap, we developed Aging-TCA (Aging-related Testicular Cell Atlas, available at <a href="http://tca.xielab.tech/)—">http://tca.xielab.tech/)—</a>a comprehensive online platform containing aging-related testicular single cell and spatial transcriptome profiles from human, cynomolgus monkey, mouse, and zebrafish across 89 samples and over 460, 000 testicular cells, nuclei or spots. Aging-TCA provides versatile tools for temporal and spatial analyzing testicular aging, including aging-related testicular gene expression visualization, cell-cell communication comparisons, cell-trajectory analysis, gene regulatory network analysis, testicular cell type auto-identification, time-series analysis, and spatial transcriptome comparisons. In summary, we provide a novel platform Aging-TCA for advancing cross-species research into testicular aging, facilitating future investigations in this field.</p>

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Aging-TCA: a cross-species single-cell transcriptomic atlas for studying testicular aging

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年9月29日

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  • Zhihao Lu,
  • Ziyan Zhang,
  • Lingsheng Cao,
  • Gangcai Xie

摘要

The testis, with the highest number of transcriptionally active genes among human tissues, offers a unique window into how aging affects complex gene regulation. Recent advancements in single-cell RNA sequencing have enabled multi-species studies of aging-related transcriptome changes in testes. However, a comprehensive aging-related cross-species platform for analyzing testicular single-cell transcriptomes remains absent. To address this gap, we developed Aging-TCA (Aging-related Testicular Cell Atlas, available at http://tca.xielab.tech/)—a comprehensive online platform containing aging-related testicular single cell and spatial transcriptome profiles from human, cynomolgus monkey, mouse, and zebrafish across 89 samples and over 460, 000 testicular cells, nuclei or spots. Aging-TCA provides versatile tools for temporal and spatial analyzing testicular aging, including aging-related testicular gene expression visualization, cell-cell communication comparisons, cell-trajectory analysis, gene regulatory network analysis, testicular cell type auto-identification, time-series analysis, and spatial transcriptome comparisons. In summary, we provide a novel platform Aging-TCA for advancing cross-species research into testicular aging, facilitating future investigations in this field.