Evidence map›Paper›PMID 40601269›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Spatial Transcriptomic Analyses of Spermatogenesis.

Ndifereke Uboh, Sean Vargas, Victoria D Diaz, Brian P Hermann

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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. Review
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

4 authors.

Ndifereke UbohDepartment of Neuroscience, Developmental and Regenerative Biology, The University of Texas at San Antonio, San Antonio, TX, USA.
Sean VargasGenomics Core, The University of Texas at San Antonio, San Antonio, TX, USA.
Victoria D DiazDepartment of Neuroscience, Developmental and Regenerative Biology, The University of Texas at San Antonio, San Antonio, TX, USA.
Brian P HermannDepartment of Neuroscience, Developmental and Regenerative Biology, The University of Texas at San Antonio, San Antonio, TX, USA. Brian.Hermann@utsa.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring mRNA abundance at the level of the whole transcriptome has become an indispensable tool for the investigation of fundamental biological processes in higher eukaryotes. However, traditional transcriptomic methods are destructive and ignore the three-dimensional organization of cells within tissues and organs. Spatial transcriptomics is a cutting-edge technology that begins to address this limitation and facilitates transcriptomic analyses within the normal spatial context of two-dimensional tissue sections. This method permits a comprehensive appreciation of cellular heterogeneity according to spatial organization and overcomes the critical limitation of traditional bulk methods by preserving tissue architecture. Spermatogenesis is an exemplary cell lineage that varies in a spatial manner. Specifically, the stages of the cycle of the seminiferous epithelium elaborate the cell type variation along the length of seminiferous tubules, which are revealed in two-dimensional space as distinct cellular associations in seminiferous tubule cross-sections. Interpreting the wealth of available single-cell RNA-seq data requires appreciation of cycle stage, which can only be accomplished by understanding each germ cell's spatial context. In this chapter, we provide an overview of spatial transcriptome technologies and step-by-step guidelines for application of one such method from Curio Biosciences, Seeker (SlideSeq V2) to the testis. The text elaborates on testicular tissue preparation and quality assessment, section and spatial transcriptome library preparation, and bioinformatic methods for data analysis using a simple exemplary analysis of round spermatids in the mouse testis.

Indexed as

Gene Expression ProfilingSpermatogenesisTranscriptomeAnimalsComputational BiologyMaleMiceSeminiferous TubulesSingle-Cell AnalysisTestisBioinformaticsRNA-seqSeuratSpatial transcriptomicstissue sections

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.