Evidence map›Paper›PMID 25380573›Full record

ArticleJournal of muscle research and cell motility2014

Myogenic progenitors and imaging single-cell flow analysis: a model to study commitment of adult muscle stem cells.

Martin Trapecar, Robi Kelc, Lidija Gradisnik, Matjaz Vogrin, Marjan Slak Rupnik

Abstract read
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In one paragraph

Article in Journal of muscle research and cell motility, 2014. 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
0.7field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Martin TrapecarFaculty of Medicine, Institute of Physiology, University of Maribor, Taborska ulica 8, 2000, Maribor, Slovenia, martin.trapecar@gmail.com.
Robi Kelc
Lidija Gradisnik
Matjaz Vogrin
Marjan Slak Rupnik
University of Maribor · SIUniversity Clinical Centre Maribor · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on skeletal muscles suffers from a lack of appropriate human models to study muscle formation and regeneration on the regulatory level of single cells. This hampers both basic understanding and the development of new therapeutic approaches. The use of imaging multicolour flow cytometry and myogenic stem cells can help fill this void by allowing researchers to visualize and quantify the reaction of individual cultured cells to bioactives or other physiological impulses. As proof of concept, we subjected human CD56+ satellite cells to reference bioactives follistatin and Malva sylvestris extracts and then used imaging multicolor flow cytometry to visualize the stepwise activation of myogenic factors MyoD and myogenin in individual cells. This approach enabled us to evaluate the potency of these bioactives to stimulate muscle commitment. To validate this method, we used multi-photon confocal microscopy to confirm the potential of bioactives to stimulate muscle differentiation and expression of desmin. Imaging multicolor flow cytometry revealed statistically significant differences between treated and untreated groups of myogenic progenitors and we propose the utilization of this concept as an integral part of future muscle research strategies.

Indexed as

CD56 AntigenCell DifferentiationCells, CulturedDesminFlow CytometryFollistatinHumansImmunohistochemistryMalvaMicroscopy, ConfocalMuscle ProteinsMuscle, SkeletalMyoD ProteinMyogeninPlant ExtractsSatellite Cells, Skeletal MuscleCD56 AntigenDesminFollistatinMuscle ProteinsMyoD1 myogenic differentiation proteinMyoD ProteinMyogeninNCAM1 protein, humanPlant Extracts

Identifiers

PMID25380573
OpenAlexW2010206931

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.