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)
Hermien E. Kan (Leiden University Medical Center, Duchenne Center Netherlands)
Erik van den Akker (Leiden University Medical Center, TU Delft - Electrical Engineering, Mathematics and Computer Science)
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)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
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
help_outline