Evidence map›Paper›PMID 38883818›Full record

ArticleiScience2024

Spatial transcriptomics in embryonic mouse diaphragm muscle reveals regional gradients and subdomains of developmental gene expression.

Mehmet Mahsum Kaplan, Maximilian Zeidler, Annabella Knapp, Martina Hölzl, Michaela Kress, Helga Fritsch, Anne Krogsdam, Bernhard E Flucher

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Modeling patient variants ofbioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. 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

8 authors.

Mehmet Mahsum KaplanInstitute of Physiology, Medical University Innsbruck, 6020 Innsbruck, Austria.
Maximilian ZeidlerInstitute of Physiology, Medical University Innsbruck, 6020 Innsbruck, Austria.
Annabella KnappInstitute of Clinical and Functional Anatomy, Medical University Innsbruck, 6020 Innsbruck, Austria.
Martina HölzlDeep Sequencing Core and Institute for Bioinformatics Medical University Innsbruck, 6020 Innsbruck, Austria.
Michaela KressInstitute of Physiology, Medical University Innsbruck, 6020 Innsbruck, Austria.
Helga FritschInstitute of Clinical and Functional Anatomy, Medical University Innsbruck, 6020 Innsbruck, Austria.
Anne KrogsdamDeep Sequencing Core and Institute for Bioinformatics Medical University Innsbruck, 6020 Innsbruck, Austria.
Bernhard E FlucherInstitute of Physiology, Medical University Innsbruck, 6020 Innsbruck, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The murine embryonic diaphragm is a primary model for studying myogenesis and neuro-muscular synaptogenesis, both representing processes regulated by spatially organized genetic programs of myonuclei located in distinct myodomains. However, a spatial gene expression pattern of embryonic mouse diaphragm has not been reported. Here, we provide spatially resolved gene expression data for horizontally sectioned embryonic mouse diaphragms at embryonic days E14.5 and E18.5. These data reveal gene signatures for specific muscle regions with distinct maturity and fiber type composition, as well as for a central neuromuscular junction (NMJ) and a peripheral myotendinous junction (MTJ) compartment. Comparing spatial expression patterns of wild-type mice with those of transgenic mice lacking either the skeletal muscle calcium channel Ca

Indexed as

Developmental biologyModel organismMolecular physiologyTranscriptomics

Identifiers

PMID38883818
PMCPMC11177202

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.