Discovering fiber type architecture over the entire muscle using data‐driven analysis
Cytometry Part A, vol. 99, pp. 1240–1249
Abstract
Skeletal muscle function is inferred from the spatial arrangement of muscle fiber architecture, which corresponds to myofiber molecular and metabolic features. Myofiber features are often determined using immunofluorescence on a local sampling, typically obtained from a median region. This median region is assumed to represent the entire muscle. However, it remains largely unknown to what extent this local sampling represents the entire muscle. We present a pipeline to study the architecture of muscle fiber features over the entire muscle, including sectioning, staining, imaging to image quantification and data-driven analysis with Myofiber type were identified by the expression of myosin heavy chain (MyHC) isoforms, representing contraction properties. We reconstructed muscle architecture from consecutive cross-sections stained for laminin and MyHC isoforms. Examining the entire muscle using consecutive cross-sections is extremely laborious, we provide consideration to reduce the dataset without loosing spatial information. Data-driven analysis with over 150,000 myofibers showed spatial variations in myofiber geometric features, myofiber type, and the distribution of neuromuscular junctions over the entire muscle. We present a workflow to study histological changes over the entire muscle using high-throughput imaging, image quantification, and data-driven analysis. Our results suggest that asymmetric spatial distribution of these features over the entire muscle could impact muscle function. Therefore, instead of a single sampling from a median region, representative regions covering the entire muscle should be investigated in future studies.
Authors 6
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Davide Bindellini Aachen Department of Human Genetics Leiden University Medical Centre Leiden The Netherlands Department of Human Genetics
Leiden University · Leiden University Medical Center
Affiliation as printed
Department of Human Genetics Leiden University Medical Centre Leiden The Netherlands
Department of Human Genetics, Leiden University Medical Centre, Leiden, The Netherlands
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Lenard M. Voortman Aachen Department of Chemical Cell Biology Leiden University Medical Centre Leiden The Netherlands Department of Chemical Cell Biology
Leiden University · Leiden University Medical Center
Affiliation as printed
Department of Chemical Cell Biology Leiden University Medical Centre Leiden The Netherlands
Department of Chemical Cell Biology, Leiden University Medical Centre, Leiden, The Netherlands
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Cyriel Sebastiaan Olie Aachen Department of Human Genetics Leiden University Medical Centre Leiden The Netherlands Department of Human Genetics
Leiden University · Leiden University Medical Center
Affiliation as printed
Department of Human Genetics Leiden University Medical Centre Leiden The Netherlands
Department of Human Genetics, Leiden University Medical Centre, Leiden, The Netherlands
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Maaike van Putten Aachen Department of Human Genetics Leiden University Medical Centre Leiden The Netherlands Department of Human Genetics
Leiden University · Leiden University Medical Center
Affiliation as printed
Department of Human Genetics Leiden University Medical Centre Leiden The Netherlands
Department of Human Genetics, Leiden University Medical Centre, Leiden, The Netherlands
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Leiden University · Leiden University Medical Center
Affiliation as printed
Biomedical Data Science Leiden University Medical Centre Leiden The Netherlands
Biomedical Data Science, Leiden University Medical Centre, Leiden, The Netherlands
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Vered Raz corresponding Aachen Department of Human Genetics Leiden University Medical Centre Leiden The Netherlands Department of Human Genetics
Leiden University · Leiden University Medical Center
Affiliation as printed
Department of Human Genetics Leiden University Medical Centre Leiden The Netherlands
Department of Human Genetics, Leiden University Medical Centre, Leiden, The Netherlands
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