Evidence map›Paper›PMID 28892032›Full record

ArticleJournal of visualized experiments : JoVE2017

Semi-automated Analysis of Mouse Skeletal Muscle Morphology and Fiber-type Composition.

Sidharth Tyagi, Donald Beqollari, Chang Seok Lee, Lori A Walker, Roger A Bannister

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In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

19 citing papers in PubMed, 25 citations in OpenAlex.

  1. CTRP1 regulates skeletal muscle differentiation through quality control of mitochondrial dynamics and function.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
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  3. Muscle-Derived BMP4 Regulates Morphology and Function of Endplates on Extrafusal and Intrafusal Muscle Fibers in Adult Mice.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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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.

Sidharth TyagiDepartment of Medicine-Cardiology Division, University of Colorado School of Medicine.
Donald BeqollariDepartment of Medicine-Cardiology Division, University of Colorado School of Medicine.
Chang Seok LeeDepartment of Molecular Physiology and Biophysics, Baylor College of Medicine.
Lori A WalkerDepartment of Medicine-Cardiology Division, University of Colorado School of Medicine.
Roger A BannisterDepartment of Medicine-Cardiology Division, University of Colorado School of Medicine; Roger.Bannister@ucdenver.edu.
University of Colorado Denver · USBaylor College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For years, distinctions between skeletal muscle fiber types were best visualized by myosin-ATPase staining. More recently, immunohistochemical staining of myosin heavy chain (MyHC) isoforms has emerged as a finer discriminator of fiber-type. Type I, type IIA, type IIX and type IIB fibers can now be identified with precision based on their MyHC profile; however, manual analysis of these data can be slow and down-right tedious. In this regard, rapid, accurate assessment of fiber-type composition and morphology is a very desirable tool. Here, we present a protocol for state-of-the-art immunohistochemical staining of MyHCs in frozen sections obtained from mouse hindlimb muscle in concert with a novel semi-automated algorithm that accelerates analysis of fiber-type and fiber morphology. As expected, the soleus muscle displayed staining for type I and type IIA fibers, but not for type IIX or type IIB fibers. On the other hand, the tibialis anterior muscle was composed predominantly of type IIX and type IIB fibers, a small fraction of type IIA fibers and little or no type I fibers. Several image transformations were used to generate probability maps for the purpose of measuring different aspects of fiber morphology (i.e., cross-sectional area (CSA), maximal and minimal Feret diameter). The values obtained for these parameters were then compared with manually-obtained values. No significant differences were observed between either mode of analysis with regards to CSA, maximal or minimal Feret diameter (all p > 0.05), indicating the accuracy of our method. Thus, our immunostaining analysis protocol may be applied to the investigation of effects on muscle composition in many models of aging and myopathy.

Indexed as

AnimalsHumansImmunohistochemistryMaleMiceMuscle Fibers, SkeletalMyosin Heavy ChainsMyosin Heavy Chains

Identifiers

PMID28892032
PMCPMC5614392
OpenAlexW2751366765

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.