ReviewReproductive medicine and biology
Overview of single-cell RNA sequencing analysis and its application to spermatogenesis research.
Review in Reproductive medicine and biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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.
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Who cites it
11 citing papers in PubMed.
- Advances in the Molecular Regulatory Mechanisms of Testicular Development and Spermatogenesis in Yaks.Animals : an open access journal from MDPI · 2026Review
- Single-cell RNA sequencing in ovarian cancer: decoding the tumor microenvironment for personalized therapy.Journal of ovarian research · 2026Review
- Article
- An integrated transcriptomic analysis unveils the regulatory roles of RNA binding proteins during human spermatogenesis.Frontiers in endocrinology · 2025Article
- Transcriptional Profiling of Testis Development in Pre-Sexually-Mature Hezuo Pig.Current issues in molecular biology · 2024Article
- Single-Cell RNA Sequencing Reveals an Atlas of Hezuo Pig Testis Cells.International journal of molecular sciences · 2024Article
- Mapping the Development of Human Spermatogenesis Using Transcriptomics-Based Data: A Scoping Review.International journal of molecular sciences · 2024Article
- Biomarkers in idiopathic pulmonary fibrosis: Current insight and future direction.Chinese medical journal pulmonary and critical care medicine · 2024Article
- Single-Nucleus RNA-Seq Reveals Spermatogonial Stem Cell Developmental Pattern in Shaziling Pigs.Biomolecules · 2024Article
- Potency Assays for Mesenchymal Stromal Cell Secretome-Based Products for Tissue Regeneration.International journal of molecular sciences · 2023Review
- Overview of single-cell RNA sequencing analysis and its application to spermatogenesis research.Reproductive medicine and biologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Single-cell transcriptomics allows parallel analysis of multiple cell types in tissues. Because testes comprise somatic cells and germ cells at various stages of spermatogenesis, single-cell RNA sequencing is a powerful tool for investigating the complex process of spermatogenesis. However, single-cell RNA sequencing analysis needs extensive knowledge of experimental technologies and bioinformatics, making it difficult for many, particularly experimental biologists and clinicians, to use it. Methods: Aiming to make single-cell RNA sequencing analysis familiar, this review article presents an overview of experimental and computational methods for single-cell RNA sequencing analysis with a history of transcriptomics. In addition, combining the PubMed search and manual curation, this review also provides a summary of recent novel insights into human and mouse spermatogenesis obtained using single-cell RNA sequencing analyses. Main Findings: Single-cell RNA sequencing identified mesenchymal cells and type II innate lymphoid cells as novel testicular cell types in the adult mouse testes, as well as detailed subtypes of germ cells. This review outlines recent discoveries into germ cell development and subtypes, somatic cell development, and cell-cell interactions. Conclusion: The findings on spermatogenesis obtained using single-cell RNA sequencing may contribute to a deeper understanding of spermatogenesis and provide new directions for male fertility therapy.
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Registered trials
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 Socratic graph.