Automated methods for the analysis of skeletal muscle fiber size and metabolic type

Tatiana Kostrominova, David S. Reiner, Richard H. Haas, Randall Ingermanson, Patrick M. McDonough

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

It is of interest to quantify the size, shape, and metabolic subtype of skeletal muscle fibers in many areas of biomedical research. To do so, skeletal muscle samples are sectioned transversely to the length of the muscle and labeled for extracellular or membrane proteins to delineate the fiber boundaries and additionally for biomarkers related to function or metabolism. The samples are digitally photographed and the fibers "outlined" for quantification of fiber cross-sectional area (CSA) using pointing devices interfaced to a computer, which is tedious, prone to error, and can be nonobjective. Here, we review methods for characterizing skeletal muscle fibers and describe new automated techniques, which rapidly quantify CSA and biomarkers. We discuss the applications of these methods to the characterization of mitochondrial dysfunctions, which underlie a variety of human afflictions, and we present a novel approach, utilizing images from the online Human Protein Atlas to predict relationships between fiber-specific protein expression, function, and metabolism.

Original languageEnglish
Pages (from-to)275-332
Number of pages58
JournalInternational Review of Cell and Molecular Biology
Volume306
DOIs
StatePublished - 2013

    Fingerprint

Keywords

  • CyteSeer®
  • Cytochrome C oxidase
  • Dehydrogenases
  • Denervation
  • High-content analysis
  • Mitochondrial disease
  • Muscular dystrophy
  • MyHC family
  • Skeletal muscle

ASJC Scopus subject areas

  • Molecular Biology
  • Cell Biology
  • Biochemistry

Cite this