Evidence map›Paper›PMID 41023784›Full record

ArticleBMC genomics2025

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

Zhihao Lu, Ziyan Zhang, Lingsheng Cao, Gangcai Xie

Abstract read
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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

4 authors.

Zhihao Lu *Institute of Reproductive Medicine, Medical School, Nantong University, Qixiu Road 19, Nantong, 226001, China.
Ziyan Zhang *Institute of Reproductive Medicine, Medical School, Nantong University, Qixiu Road 19, Nantong, 226001, China.
Lingsheng CaoInstitute of Reproductive Medicine, Medical School, Nantong University, Qixiu Road 19, Nantong, 226001, China.
Gangcai XieInstitute of Reproductive Medicine, Medical School, Nantong University, Qixiu Road 19, Nantong, 226001, China. gangcai@ntu.edu.cn.

Funding

Jiangsu Innovative and Entrepreneurial Research Team Program JSSCTD202348National Natural Science Foundation of China 31900484Natural Science Foundation of Jiangsu Province BK20190924
6 · The paper itself

Abstract

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.

Indexed as

AgingSingle-Cell AnalysisTestisTranscriptomeAnimalsGene Expression ProfilingGene Regulatory NetworksHumansMacaca fascicularisMaleMiceSingle-Cell Gene Expression AnalysisSpatial TranscriptomicsZebrafishAgingDatabaseScRNA-seqSpatial transcriptomeTestis

Identifiers

PMID41023784
PMCPMC12481971

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.