Evidence map›Paper›PMID 34915930›Full record

ArticleSkeletal muscle2021

ViaFuse: Fiji macros to calculate skeletal muscle cell viability and fusion index.

Emma Rose Hinkle, Tasneem Omar Essader, Gabrielle Marie Gentile, Jimena Giudice

Abstract read
In one paragraph

Article in Skeletal muscle, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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.

Emma Rose Hinkle *Department of Cell Biology and Physiology, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.ORCID 0000-0002-7396-7525
Tasneem Omar Essader *Department of Cell Biology and Physiology, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Gabrielle Marie GentileDepartment of Cell Biology and Physiology, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.ORCID 0000-0002-2669-1861
Jimena GiudiceDepartment of Cell Biology and Physiology, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA. jimena_giudice@med.unc.edu.ORCID 0000-0002-3330-7784

Funding

UNC Neuroscience Center Research Cores: MicroscopyP30NS045892 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZYLKA, MARK J. · 2003 to 2022
$11.5M
Preclinical CoreU54HD079124 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, YUN · 2013 to 2019
$8.0M
NRSA IN GENETICST32GM007092 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SEKELSKY, JEFF J. · 1985 to 2019
$5.9M
Equipment -NEON transfection equipmentR01GM130866 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GIUDICE, JIMENA · 2019 to 2023
$1.6M
Training in Mechanistic, Interdisciplinary Studies of Biological SystemsT32GM119999 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RAMSDEN, DALE A · 2017 to 2021
$1.2M
Alternative Splicing Regulation and Mechanotransduction in Skeletal MuscleF31AR077381 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HINKLE, EMMA · 2021 to 2022
$66k
American Heart Association-American Stroke Association 19CDA34660248NIAMS NIH HHS AR077381-01A1NIAMS NIH HHS F31 AR077381NICHD NIH HHS U54 HD079124NIGMS NIH HHS 5T32 GM007092NIGMS NIH HHS R01 GM130866NIGMS NIH HHS R01GM130866NIGMS NIH HHS T32 GM007092NIGMS NIH HHS T32 GM119999NIGMS NIH HHS T32GM119999NINDS NIH HHS P30 NS045892
6 · The paper itself

Abstract

backgroundMeasuring biological features of skeletal muscle cells is difficult because of their unique morphology and multinucleate nature upon differentiation. Here, we developed a new Fiji macro package called ViaFuse (that stands for viability and fusion) to measure skeletal muscle cell viability and differentiation. To test ViaFuse, we utilized immunofluorescence images of differentiated myotubes where the capping actin protein of muscle z-line subunit beta (CAPZB) was depleted in comparison with control cells.

resultsWe compared the values achieved using the ViaFuse macros first with manual quantification performed by researchers and second with those obtained utilizing the MATLAB muscle-centric software MyoCount. We observed a high degree of correlation between all methods of quantification.

conclusionsViaFuse can detect the borders of myotubes and identify nuclear clumps which have been limitations of previous muscle-centric imaging software. The ViaFuse macros require little computer power or space to run and user inputs to the ViaFuse macros are minimal, thereby automating the analysis process in a quick, easy, and accurate fashion. Additionally, the ViaFuse macros work with Fiji, an existing imaging software widely used by skeletal muscle researchers. Furthermore, ViaFuse is compatible with many computer systems, has a very intuitive interface, and does not require prior complex mathematical knowledge. Therefore, we propose ViaFuse as a robust and meticulous method to quantify skeletal muscle cell viability and differentiation.

Indexed as

Muscle Fibers, SkeletalMuscle, SkeletalCell DifferentiationCell SurvivalFijiC2C12 cell differentiation quantificationFusion indexMyogenesisSkeletal muscleSkeletal muscle cell software

Identifiers

PMID34915930
PMCPMC8675483

What OpenQuestion holds

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LicenceCC BY
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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.