Evidence map›Paper›PMID 40301258›Full record

ReviewAdvances in experimental medicine and biology2025

scRNA-Seq-Based Transcriptome Profiling and Relevant Bioinformatics Approaches to Uncover Novel Insights in Studying Human Spermatogenesis.

Xiaolong Wu, Hanchao Liu, Lin Hua, Xintao Gao, Longfei Hu, Lingling Wang, Tiao Bu, Fei Sun, C Yan Cheng

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 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

9 authors.

Xiaolong WuDepartment of Urology and Andrology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. wuxiaolong@zju.edu.cn.
Hanchao LiuDepartment of Urology and Andrology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Lin HuaDepartment of Urology and Andrology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xintao GaoDepartment of Urology and Andrology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Longfei HuSingleron Biotechnologies Ltd., Nanjing, Jiangsu, China.
Lingling WangInstitute of Reproductive Medicine, Nantong University School of Medicine, Nantong, Jiangsu, China.
Tiao BuInstitute of Reproductive Medicine, Nantong University School of Medicine, Nantong, Jiangsu, China.
Fei SunDepartment of Urology and Andrology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. sunfeisrrsh@zju.edu.cn.
C Yan ChengDepartment of Urology and Andrology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. L211064@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study employs single-cell RNA sequencing (scRNA-seq) to investigate human spermatogenesis across developmental stages and under pathological conditions, including non-obstructive azoospermia (NOA). The analysis highlights the critical role of Sertoli cells in supporting germ cell development by providing structural support, paracrine factors, and essential nutrients. Pathological conditions, such as NOA and Klinefelter syndrome, reveal significant disruptions in Sertoli cell function, including impaired cell signaling, mitochondrial activity, and transcriptional regulation. These changes are closely linked to defects in germ cell progression and spermatogenic failure. Comparative profiling also identifies stage-specific transcriptional changes in both Sertoli and Leydig cells, uncovering their dynamic interactions with germ cells. This work provides new insights into the cellular and molecular mechanisms of spermatogenesis and identifies potential biomarkers and therapeutic targets, particularly emphasizing the pivotal contributions of Sertoli cells in maintaining testicular homeostasis and fertility.

Indexed as

AzoospermiaComputational BiologyGene Expression ProfilingRNA-SeqSingle-Cell AnalysisSpermatogenesisTranscriptomeHumansKlinefelter SyndromeLeydig CellsMaleSertoli CellsSingle-Cell Gene Expression AnalysisGene profilingHuman spermatogenesisInfertilitySingle-Cell RNA-Seq

Identifiers

What OpenQuestion holds

Textmetadata
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.