Evidence map›Paper›PMID 38577799›Full record

ArticleAndrology2025

The human infertility single-cell testis atlas (HISTA): an interactive molecular scRNA-Seq reference of the human testis.

Eisa Mahyari, Katinka A Vigh-Conrad, Clément Daube, Ana C Lima, Jingtao Guo, Douglas T Carrell, James M Hotaling, Kenneth I Aston, Donald F Conrad

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. A naturally occurring variant ofGenome research · 2023
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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.

Eisa MahyariDivision of Genetics, Oregon National Primate Research Center, Oregon Health & Science University, Portland, Oregon, USA.ORCID 0000-0002-5613-3131
Katinka A Vigh-ConradDivision of Genetics, Oregon National Primate Research Center, Oregon Health & Science University, Portland, Oregon, USA.
Clément DaubeDivision of Genetics, Oregon National Primate Research Center, Oregon Health & Science University, Portland, Oregon, USA.
Ana C LimaDivision of Genetics, Oregon National Primate Research Center, Oregon Health & Science University, Portland, Oregon, USA.
Jingtao GuoAndrology and IVF Laboratory, Division of Urology, Department of Surgery, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Douglas T CarrellAndrology and IVF Laboratory, Division of Urology, Department of Surgery, University of Utah School of Medicine, Salt Lake City, Utah, USA.
James M HotalingAndrology and IVF Laboratory, Division of Urology, Department of Surgery, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Kenneth I AstonAndrology and IVF Laboratory, Division of Urology, Department of Surgery, University of Utah School of Medicine, Salt Lake City, Utah, USA.ORCID 0000-0001-6459-2103
Donald F ConradDivision of Genetics, Oregon National Primate Research Center, Oregon Health & Science University, Portland, Oregon, USA.ORCID 0000-0003-3828-8970

Funding

Project IIIP50HD096723 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI John C Schimenti · 2019 to 2026
$15.0M
GENOMICS OF SPERMATOGENIC IMPAIRMENTR01HD078641 · NICHD · WASHINGTON UNIVERSITY · PI Kenneth Ivan Aston, DONALD F. CONRAD · 2014 to 2026
$6.3M
NICHD NIH HHS P50 HD096723NICHD NIH HHS R01 HD078641NIH HHS P50HD096723NIH HHS R01HD078641
6 · The paper itself

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.

Indexed as

Infertility, MaleRNA-SeqSingle-Cell AnalysisSpermatogenesisTestisAdultHumansMaleSequence Analysis, RNASingle-Cell Gene Expression AnalysisazoospermiaconradHISTAinfertilityKlinefelter syndromelncRNAMahyariscRNA‐seqtestestestis atlas

Identifiers

PMID38577799
PMCPMC12117513

What OpenQuestion holds

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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.