Evidence map›Paper›PMID 40097379›Full record

ArticleCell discovery2025

Spatiotemporal single-cell architecture of gene expression in the Caenorhabditis elegans germ cells.

Lili Li, Xiaoyin Tang, Xuanxuan Guo, Di Rao, Lin Zeng, Junchao Xue, Shuxian Liu, Shikui Tu, En-Zhi Shen

Abstract read
In one paragraph

Article in Cell discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Lili Li *College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China.
Xiaoyin Tang *College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China.
Xuanxuan Guo *Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Di RaoKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0009-0006-1075-3470
Lin ZengDepartment of Computer Science and Engineering, Center for Cognitive Machines and Computational Health (CMaCH), Shanghai Jiao Tong University, Shanghai, China.
Junchao XueKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Shuxian LiuKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Shikui TuDepartment of Computer Science and Engineering, Center for Cognitive Machines and Computational Health (CMaCH), Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0000-0001-6270-0449
En-Zhi ShenKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China. shenenzhi@westlake.edu.cn.ORCID http://orcid.org/0000-0002-6095-7803

Funding

National Natural Science Foundation of China (National Science Foundation of China) NSFC32070628
6 · The paper itself

Abstract

Spermatogenesis is an intricate and tightly controlled process encompassing various layers of gene expression regulation. Despite the advance of our current understanding, the developmental trajectory and regulatory mechanisms dictating spermatogenesis remain elusive. In this study, we have generated single-cell gene expression profiles for Caenorhabditis elegans sperm cells and constructed gene regulatory networks alongside the developmental trajectories of these cells. Our findings indicate that each pre- and post-developmental stage is closely linked by co-expressed genes, while simultaneously being uniquely identified by the combined expression of specific gene families. To illustrate the applicability of this exhaustive gene expression catalog, we used gene regulatory networks to uncover potential transcription factors for (1) the expression of genes in the phosphorylation pathway, identifying NHR-23-to-phosphatase regulation for the meiotic cell division process; and (2) the expression of constituent components of small RNA pathways, identifying ELT-1-to-Argonaute protein regulation for siRNA maintenance and sperm activation. We expect that this sperm cell-specific gene expression directory will prompt investigations into the underlying mechanisms determining anatomy, differentiation, and function across the reproductive system. Finally, our expression data can be explored using the web application CelegansGermAtlas ( https://scgerm-atlas.sjtu.edu.cn/website/#/home ).

Identifiers

PMID40097379
PMCPMC11914268

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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.