Evidence map›Paper›PMID 24998919›Full record

ArticleEuropean journal of histochemistry : EJH2014

A simplified immunohistochemical classification of skeletal muscle fibres in mouse.

M Kammoun, I Cassar-Malek, B Meunier, B Picard

Open access · goldAbstract read
In one paragraph

Article in European journal of histochemistry : EJH, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

60 citing papers in PubMed, 105 citations in OpenAlex.

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  20. Discovering fiber type architecture over the entire muscle using data-driven analysis.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2021
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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

4 authors at 2 institutions in 1 country.

M KammounUMR1213 Herbivores (UMRH) Clermont University, VetAgro Sup. brigitte.picard@clermont.inra.fr.
I Cassar-Malek
B Meunier
B Picard
Unité Mixte de Recherche sur les Herbivores · FRVetAgro Sup · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The classification of muscle fibres is of particular interest for the study of the skeletal muscle properties in a wide range of scientific fields, especially animal phenotyping. It is therefore important to define a reliable method for classifying fibre types. The aim of this study was to establish a simplified method for the immunohistochemical classification of fibres in mouse. To carry it out, we first tested a combination of several anti myosin heavy chain (MyHC) antibodies in order to choose a minimum number of antibodies to implement a semi-automatic classification. Then, we compared the classification of fibres to the MyHC electrophoretic pattern on the same samples. Only two anti MyHC antibodies on serial sections with the fluorescent labeling of the Laminin were necessary to classify properly fibre types in Tibialis Anterior and Soleus mouse muscles in normal physiological conditions. This classification was virtually identical to the classification realized by the electrophoretic separation of MyHC. This immunohistochemical classification can be applied to the total area of Tibialis Anterior and Soleus mouse muscles. Thus, we provide here a useful, simple and time-efficient method for immunohistochemical classification of fibres, applicable for research in mouse.

Indexed as

AnimalsImmunohistochemistryMaleMiceMuscle Fibers, SkeletalMyosin Heavy ChainsMyosin Heavy Chains

Identifiers

PMID24998919
PMCPMC4083319
OpenAlexW1988674210

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.