Evidence map›Paper›PMID 40291424›Full record

ArticleBio-protocol2025

An Integrated Workflow for Three-Dimensional Visualization of Human Skeletal Muscle Stem Cell Nuclei.

Jeremy R Pearson, Noraida Martinez-Rivera, Irma Torres-Vasquez, Philip M Gallagher, Eduardo Rosa-Molinar

Abstract read
In one paragraph

Article in Bio-protocol, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jeremy R PearsonMicroscopy and Analytical Imaging Research Resource Core Laboratory, University of Kansas, Lawrence, KS, USA.
Noraida Martinez-RiveraMicroscopy and Analytical Imaging Research Resource Core Laboratory, University of Kansas, Lawrence, KS, USA.
Irma Torres-VasquezDepartment of Pharmacology & Toxicology, University of Kansas, Lawrence, KS, USA.
Philip M GallagherApplied Physiology Laboratory and Osness Human Performance Laboratories, University of Kansas, Lawrence, KS, USA.
Eduardo Rosa-MolinarMicroscopy and Analytical Imaging Research Resource Core Laboratory, University of Kansas, Lawrence, KS, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle-specific stem cells are responsible for regenerating damaged muscle tissue following strenuous physical activity. These muscle stem cells, also known as satellite cells (SCs), can activate, proliferate, and differentiate to form new skeletal muscle cells. SCs can be identified and visualized utilizing optical and electron microscopy techniques. However, studies identifying SCs using fluorescent imaging techniques vary significantly within their methodology and lack fundamental aspects of the guidelines for rigor and reproducibility that must be included within immunohistochemical studies. Therefore, a standardized method for identifying human skeletal muscle stem cells is warranted, which will improve the reproducibility of future studies investigating satellite activity. Additionally, although it has been suggested that SC shape can change after exercise, there are currently no methods for examining SC morphology. Thus, we present an integrated workflow for three-dimensional visualization of satellite cell nuclei, validated by the spatial context of the fluorescent labeling and multichannel signal overlap. Our protocol includes, from start to finish, post-biopsy extraction and embedding, tissue sectioning, immunofluorescence, imaging steps and acquisition, and three-dimensional data post-processing. Because of the depth volume generated from the confocal microscope z-stacks, this will allow future studies to investigate the morphology of SC nuclei and their activity, instead of traditionally observing them in two-dimensional space (x, y). Key features • Detailed instructions on post-biopsy extraction and embedding, tissue sectioning, immunofluorescence, imaging steps and acquisition, and three-dimensional data post-processing of muscle stem cells. • Builds upon the validated method developed by Feng et al. [1], which was optimized for mouse tissue and fills critical gaps in existing literature. • Allows qualitative and quantitative morphological assessment of muscle stem cell nuclei in three-dimensional space. Graphical overview

Indexed as

Fluorescent microscopyImmunohistochemistryMuscle damageMuscle regenerationMyofiber cross-sectional areaSatellite cells

Identifiers

PMID40291424
PMCPMC12021681

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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.