ArticleAndrology2025
The human infertility single-cell testis atlas (HISTA): an interactive molecular scRNA-Seq reference of the human testis.
Article in Andrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genetic and genomic insights into male reproductive tract development.Fertility and sterility · 2025Pooled it
- Post-translational modification of proteins in the human testis development pathway.Human reproduction update · 2026Review
- Mapping whole-organism genetic comorbidities across model Species using unified ontologies.Genetics · 2026Article
- Whole genome sequencing approach for the detection of rare protein-altering variants associated with familial male infertility.The Egyptian journal of medical human genetics · 2025Article
- POU4F2/Brn-3b is Essential for Spermatogenesis and its Disruption is Linked to Male Infertility in Mice and Humans.Research square · 2025Article
- Morula complementation restores male germline inPNAS nexus · 2025Article
- LIN 28B expression is downregulated in mature spermatozoa of oligozoospermic men and associates with genetic variants previously linked to pubertal onset.Endocrine connections · 2025Article
- Genetic determinants of testicular sperm extraction outcomes: insights from a large multicentre study of men with non-obstructive azoospermia.Human reproduction open · 2025Article
- X‑chromosome loss rescues Sertoli cell maturation and spermatogenesis in Klinefelter syndrome.Cell death & disease · 2024Article
- A naturally occurring variant ofGenome research · 2023Article
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Authors and funding
9 authors.
Funding
Abstract
backgroundSingle-cell RNA-seq (scRNA-Seq) has been widely adopted to study gene expression of the human testis. Several datasets of scRNA-Seq from human testis have been generated from different groups processed with different informatics pipelines. An integrated atlas of scRNA-Seq expression constructed from multiple donors, developmental ages, and fertility states would be widely useful for the testis research community.
objectiveTo describe the generation and use of the human infertility single-cell testis atlas (HISTA), an interactive web tool for understanding human spermatogenesis through scRNA-Seq analysis.
methodsWe obtained scRNA-Seq datasets derived from 12 donors, including healthy adult controls, juveniles, and several infertility cases, and reprocessed these data using methods to remove batch effects. Using Shiny, an open-source environment for data visualization, we created numerous interactive tools for exploring the data, some of which support simple statistical hypothesis testing. We used the resulting HISTA browser and its underlying data to demonstrate HISTA's value for testis researchers.
resultsA primary application of HISTA is to search by a single gene or a set of genes; thus, we present various analyses that quantify and visualize gene expression across the testis cells and pathology. HISTA also contains machine-learning-derived gene modules ("components") that capture the entire transcriptional landscape of the testis tissue. We show how the use of these components can simplify the highly complex data in HISTA and assist with the interpretation of genes with unknown functions. Finally, we demonstrate the diverse ways HISTA can be used for new data analysis, including hypothesis testing. DISCUSSION AND
conclusionsHISTA is a research environment that can help scientists organize and understand the high-dimensional transcriptional landscape of the human testis. HISTA has already contributed to published testis research and can be updated as needed with input from the research community or downloaded and modified for individual needs.
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