Quantitative 3D Mapping of the Human Skeletal Muscle Mitochondrial Network
Author(s) -
Amy E. Vincent,
Kathryn White,
Tracey Davey,
Jonathan Philips,
R. Todd Ogden,
Conor Lawless,
Charlotte Warren,
Matt G. Hall,
Yi Shiau Ng,
Gavin Falkous,
T. M. Holden,
David J. Deehan,
Robert W. Taylor,
Douglass M. Turnbull,
Martin Picard
Publication year - 2019
Publication title -
cell reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.264
H-Index - 154
eISSN - 2639-1856
pISSN - 2211-1247
DOI - 10.1016/j.celrep.2019.01.010
Subject(s) - mitochondrial dna , mitochondrion , biology , microbiology and biotechnology , human mitochondrial genetics , inner mitochondrial membrane , skeletal muscle , genetics , gene , anatomy
Genetic and biochemical defects of mitochondrial function are a major cause of human disease, but their link to mitochondrial morphology in situ has not been defined. Here, we develop a quantitative three-dimensional approach to map mitochondrial network organization in human muscle at electron microscopy resolution. We establish morphological differences between human and mouse and among patients with mitochondrial DNA (mtDNA) diseases compared to healthy controls. We also define the ultrastructure and prevalence of mitochondrial nanotunnels, which exist as either free-ended or connecting membrane protrusions across non-adjacent mitochondria. A multivariate model integrating mitochondrial volume, morphological complexity, and branching anisotropy computed across individual mitochondria and mitochondrial populations identifies increased proportion of simple mitochondria and nanotunnels as a discriminant signature of mitochondrial stress. Overall, these data define the nature of the mitochondrial network in human muscle, quantify human-mouse differences, and suggest potential morphological markers of mitochondrial dysfunction in human tissues.
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