Quantitative analysis of myofiber type composition in human and mouse skeletal muscles
Tooba Abbassi-Daloii (Leiden University Medical Center)
Salma el Abdellaoui (Leiden University Medical Center)
H.E. Kan (Leiden University Medical Center, Duchenne Center Netherlands)
Erik van den Akker (Leiden University Medical Center, TU Delft - Pattern Recognition and Bioinformatics)
Peter A.C. 't Hoen (Leiden University Medical Center, Radboud University Medical Center)
Vered Raz (Leiden University Medical Center)
Lenard M. Voortman (Leiden University Medical Center)
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Abstract
Skeletal muscles are composed of different myofiber types characterized by the expression of myosin heavy chain isoforms, which can be affected by physical activity, aging, and pathological conditions. Here, we present a step-by-step high-throughput semi-automated approach for performing myofiber type quantification of entire human or mouse muscle tissue sections, including immunofluorescence staining, image acquisition, processing, and quantification. For complete details on the use and execution of this protocol, please refer to Abbassi-Daloii et al. (2022).1
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