Quantitative analysis of myofiber type composition in human and mouse skeletal muscles

Journal article (2023)

Authors

Tooba Abbassi-Daloii Leiden University Medical Center
Salma el Abdellaoui Leiden University Medical Center
H.E. Kan Duchenne Center Netherlands, Leiden University Medical Center
E.B. van den Akker Leiden University Medical Center, Pattern Recognition and Bioinformatics - EEMCS
Erik van den Akker Leiden University Medical Center, Pattern Recognition and Bioinformatics - EEMCS
Erik Ben van den Akker Leiden University Medical Center, Pattern Recognition and Bioinformatics - EEMCS
Erik B. van den Akker Leiden University Medical Center, Pattern Recognition and Bioinformatics - EEMCS
E. B. van den Akker Leiden University Medical Center, Pattern Recognition and Bioinformatics - EEMCS
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
Research Group
Pattern Recognition and Bioinformatics (EEMCS) (TU Delft)
Copyright: © 2023 Tooba Abbassi-Daloii, Salma el Abdellaoui, H.E. Kan, E.B. van den Akker, Peter A.C. ’t Hoen, Vered Raz, Lenard M. Voortman
DOI: https://doi.org/10.1016/j.xpro.2023.102075
More Info
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Published Date

2023

Language

English

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Pattern Recognition and Bioinformatics

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