High-throughput data-driven analysis of myofiber composition reveals muscle-specific disease and age-associated patterns

Vered Raz*, Yotam Raz, Davy van de Vijver, Davide Bindellini, Maaike van Putten, Erik van den Akker

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)4046-4053
Number of pages8
JournalFASEB Journal
Volume33
Issue number3
DOIs
Publication statusPublished - 2019

Keywords

  • ageing
  • limb girdle muscular dystrophy
  • myosin heavy chain
  • SGCA-null
  • SGCD-null

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