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High‐throughput data‐driven analysis of myofiber composition reveals muscle‐specific disease and age‐associated patterns
Author(s) -
Raz Vered,
Raz Yotam,
Vijver Davy,
Bindellini Davide,
Putten Maaike,
Ben Akker Erik
Publication year - 2019
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fj.201801714r
Subject(s) - myocyte , myosin , biology , gene isoform , skeletal muscle , sarcomere , microbiology and biotechnology , genetics , anatomy , gene
Contractile properties of myofibers are dictated by the abundance of myosin heavy chain (MyHC) isoforms. MyHC composition designates muscle function, and its alterations could unravel differential muscle involvement in muscular dystrophies and aging. Current analyses are limited to visual assessments in which myofibers expressing multiple MyHC isoforms are prone to misclassification. As a result, complex patterns and subtle alterations are unidentified. We developed a high‐throughput, data‐driven myofiber analysis to quantitatively describe the variations in myofibers across the muscle. We investigated alterations in myofiber composition between genotypes, 2 muscles, and 2 age groups. We show that this analysis facilitates the discovery of complex myofiber compositions and its dependency on age, muscle type, and genetic conditions.—Raz, V., Raz, Y., van de Vijver, D., Bindellini, D., van Putten, M., van den Akker, E. B. High‐throughput data‐driven analysis of myofiber composition reveals muscle‐specific disease and age‐associated patterns. FASEB J. 33, 4046–4053 (2019). www.fasebj.org