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The Myotube Analyzer: how to assess myogenic features in muscle stem cells

BACKGROUND: The analysis of in vitro cultures of human adult muscle stem cells obtained from biopsies delineates the potential of skeletal muscles and may help to understand altered muscle morphology in patients. In these analyses, the fusion index is a commonly used quantitative metric to assess th...

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Autores principales: Noë, Simon, Corvelyn, Marlies, Willems, Sarah, Costamagna, Domiziana, Aerts, Jean-Marie, Van Campenhout, Anja, Desloovere, Kaat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185954/
https://www.ncbi.nlm.nih.gov/pubmed/35689270
http://dx.doi.org/10.1186/s13395-022-00297-6
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author Noë, Simon
Corvelyn, Marlies
Willems, Sarah
Costamagna, Domiziana
Aerts, Jean-Marie
Van Campenhout, Anja
Desloovere, Kaat
author_facet Noë, Simon
Corvelyn, Marlies
Willems, Sarah
Costamagna, Domiziana
Aerts, Jean-Marie
Van Campenhout, Anja
Desloovere, Kaat
author_sort Noë, Simon
collection PubMed
description BACKGROUND: The analysis of in vitro cultures of human adult muscle stem cells obtained from biopsies delineates the potential of skeletal muscles and may help to understand altered muscle morphology in patients. In these analyses, the fusion index is a commonly used quantitative metric to assess the myogenic potency of the muscle stem cells. Since the fusion index only partly describes myogenic potency, we developed the Myotube Analyzer tool, which combines the definition of the fusion index with extra features of myonuclei and myotubes obtained from satellite cell cultures. RESULTS: The software contains image adjustment and mask editing functions for preprocessing and semi-automatic segmentation, while other functions can be used to determine the features of nuclei and myotubes. The fusion index and a set of five novel parameters were tested for reliability and validity in a comparison between satellite cell cultures from children with cerebral palsy and typically developing children. These novel parameters quantified extra nucleus and myotube properties and can be used to describe nucleus clustering and myotube shape. Two analyzers who were trained in cell culture defined all parameters using the Myotube Analyzer app. Out of the six parameters, five had good reliability reflected by good intra-class correlation coefficients (> 0.75). Children with cerebral palsy were significantly different from the typically developing children (p < 0.05) for five parameters, and for three of the six parameters, these differences exceeded the minimal detectable differences. CONCLUSIONS: The Myotube Analyzer can be used for the analysis of fixed differentiated myoblast cultures with nuclear and MyHC staining. The app can calculate the fusion index, an already existing parameter, but also provides multiple new parameters to comprehensively describe myogenic potential in its output. The raw data used to determine these parameters are also available in the output. The parameters calculated by the tool can be used to detect differences between cultures from children with cerebral palsy and typically developing children. Since the program is open source, users can customize it to fit their own analysis requirements. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13395-022-00297-6.
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spelling pubmed-91859542022-06-11 The Myotube Analyzer: how to assess myogenic features in muscle stem cells Noë, Simon Corvelyn, Marlies Willems, Sarah Costamagna, Domiziana Aerts, Jean-Marie Van Campenhout, Anja Desloovere, Kaat Skelet Muscle Software BACKGROUND: The analysis of in vitro cultures of human adult muscle stem cells obtained from biopsies delineates the potential of skeletal muscles and may help to understand altered muscle morphology in patients. In these analyses, the fusion index is a commonly used quantitative metric to assess the myogenic potency of the muscle stem cells. Since the fusion index only partly describes myogenic potency, we developed the Myotube Analyzer tool, which combines the definition of the fusion index with extra features of myonuclei and myotubes obtained from satellite cell cultures. RESULTS: The software contains image adjustment and mask editing functions for preprocessing and semi-automatic segmentation, while other functions can be used to determine the features of nuclei and myotubes. The fusion index and a set of five novel parameters were tested for reliability and validity in a comparison between satellite cell cultures from children with cerebral palsy and typically developing children. These novel parameters quantified extra nucleus and myotube properties and can be used to describe nucleus clustering and myotube shape. Two analyzers who were trained in cell culture defined all parameters using the Myotube Analyzer app. Out of the six parameters, five had good reliability reflected by good intra-class correlation coefficients (> 0.75). Children with cerebral palsy were significantly different from the typically developing children (p < 0.05) for five parameters, and for three of the six parameters, these differences exceeded the minimal detectable differences. CONCLUSIONS: The Myotube Analyzer can be used for the analysis of fixed differentiated myoblast cultures with nuclear and MyHC staining. The app can calculate the fusion index, an already existing parameter, but also provides multiple new parameters to comprehensively describe myogenic potential in its output. The raw data used to determine these parameters are also available in the output. The parameters calculated by the tool can be used to detect differences between cultures from children with cerebral palsy and typically developing children. Since the program is open source, users can customize it to fit their own analysis requirements. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13395-022-00297-6. BioMed Central 2022-06-10 /pmc/articles/PMC9185954/ /pubmed/35689270 http://dx.doi.org/10.1186/s13395-022-00297-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Noë, Simon
Corvelyn, Marlies
Willems, Sarah
Costamagna, Domiziana
Aerts, Jean-Marie
Van Campenhout, Anja
Desloovere, Kaat
The Myotube Analyzer: how to assess myogenic features in muscle stem cells
title The Myotube Analyzer: how to assess myogenic features in muscle stem cells
title_full The Myotube Analyzer: how to assess myogenic features in muscle stem cells
title_fullStr The Myotube Analyzer: how to assess myogenic features in muscle stem cells
title_full_unstemmed The Myotube Analyzer: how to assess myogenic features in muscle stem cells
title_short The Myotube Analyzer: how to assess myogenic features in muscle stem cells
title_sort myotube analyzer: how to assess myogenic features in muscle stem cells
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185954/
https://www.ncbi.nlm.nih.gov/pubmed/35689270
http://dx.doi.org/10.1186/s13395-022-00297-6
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