Evidence map›Paper›PMID 36446526›Full record

ArticleLife science alliance2023

Transcriptome analyses in infertile men reveal germ cell-specific expression and splicing patterns.

Lara M Siebert-Kuss, Henrike Krenz, Tobias Tekath, Marius Wöste, Sara Di Persio, Nicole Terwort, Margot J Wyrwoll, Jann-Frederik Cremers, Joachim Wistuba, Martin Dugas and 6 more

Open access · goldAbstract read
In one paragraph

Article in Life science alliance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Human reproduction open · 2026
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  3. Article
  4. Review
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  9. Article
  10. Genome-wide DNA methylation changes in human spermatogenesis.American journal of human genetics · 2024
    Article
  11. Article
  12. 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

16 authors at 3 institutions in 1 country.

Lara M Siebert-KussCentre of Reproductive Medicine and Andrology, Institute of Reproductive and Regenerative Biology, University of Münster, Münster, Germany.ORCID 0000-0001-8257-5040
Henrike KrenzInstitute of Medical Informatics, University of Münster, Münster, Germany.
Tobias TekathInstitute of Medical Informatics, University of Münster, Münster, Germany.ORCID 0000-0002-9315-5452
Marius WösteInstitute of Medical Informatics, University of Münster, Münster, Germany.
Sara Di PersioCentre of Reproductive Medicine and Andrology, Institute of Reproductive and Regenerative Biology, University of Münster, Münster, Germany.ORCID 0000-0002-9279-7373
Nicole TerwortCentre of Reproductive Medicine and Andrology, Institute of Reproductive and Regenerative Biology, University of Münster, Münster, Germany.
Margot J WyrwollInstitute of Reproductive Genetics, University of Münster, Münster, Germany.
Jann-Frederik CremersDepartment of Clinical and Surgical Andrology, Centre of Reproductive Medicine and Andrology, University Hospital of Münster, Münster, Germany.
Joachim WistubaCentre of Reproductive Medicine and Andrology, Institute of Reproductive and Regenerative Biology, University of Münster, Münster, Germany.ORCID 0000-0001-9215-8582
Martin DugasInstitute of Medical Informatics, University of Münster, Münster, Germany.ORCID 0000-0001-9740-0788
Sabine KlieschDepartment of Clinical and Surgical Andrology, Centre of Reproductive Medicine and Andrology, University Hospital of Münster, Münster, Germany.
Stefan SchlattCentre of Reproductive Medicine and Andrology, Institute of Reproductive and Regenerative Biology, University of Münster, Münster, Germany.
Frank TüttelmannInstitute of Reproductive Genetics, University of Münster, Münster, Germany.ORCID 0000-0003-2745-9965
Jörg GromollCentre of Reproductive Medicine and Andrology, Institute of Reproductive and Regenerative Biology, University of Münster, Münster, Germany.
Nina NeuhausCentre of Reproductive Medicine and Andrology, Institute of Reproductive and Regenerative Biology, University of Münster, Münster, Germany.ORCID 0000-0003-0181-6194
Sandra LaurentinoCentre of Reproductive Medicine and Andrology, Institute of Reproductive and Regenerative Biology, University of Münster, Münster, Germany Sandra.Laurentino@ukmuenster.de.ORCID 0000-0002-5213-2756
University of Münster · DEUniversity Hospital Münster · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The process of spermatogenesis-when germ cells differentiate into sperm-is tightly regulated, and misregulation in gene expression is likely to be involved in the physiopathology of male infertility. The testis is one of the most transcriptionally rich tissues; nevertheless, the specific gene expression changes occurring during spermatogenesis are not fully understood. To better understand gene expression during spermatogenesis, we generated germ cell-specific whole transcriptome profiles by systematically comparing testicular transcriptomes from tissues in which spermatogenesis is arrested at successive steps of germ cell differentiation. In these comparisons, we found thousands of differentially expressed genes between successive germ cell types of infertility patients. We demonstrate our analyses' potential to identify novel highly germ cell-specific markers (TSPY4 and LUZP4 for spermatogonia; HMGB4 for round spermatids) and identified putatively misregulated genes in male infertility (

Indexed as

Infertility, MaleSemenGene Expression ProfilingGerm CellsHumansMaleProteinsRNA SplicingProteinsSPATA4 protein, human

Identifiers

PMID36446526
PMCPMC9713473
OpenAlexW4310289006

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.