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Quantitative 3D Mapping of the Human Skeletal Muscle Mitochondrial Network

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 micr...

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Autores principales: Vincent, Amy E., White, Kathryn, Davey, Tracey, Philips, Jonathan, Ogden, R. Todd, Lawless, Conor, Warren, Charlotte, Hall, Matt G., Ng, Yi Shiau, Falkous, Gavin, Holden, Thomas, Deehan, David, Taylor, Robert W., Turnbull, Doug M., Picard, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513570/
https://www.ncbi.nlm.nih.gov/pubmed/30655224
http://dx.doi.org/10.1016/j.celrep.2019.01.010
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author Vincent, Amy E.
White, Kathryn
Davey, Tracey
Philips, Jonathan
Ogden, R. Todd
Lawless, Conor
Warren, Charlotte
Hall, Matt G.
Ng, Yi Shiau
Falkous, Gavin
Holden, Thomas
Deehan, David
Taylor, Robert W.
Turnbull, Doug M.
Picard, Martin
author_facet Vincent, Amy E.
White, Kathryn
Davey, Tracey
Philips, Jonathan
Ogden, R. Todd
Lawless, Conor
Warren, Charlotte
Hall, Matt G.
Ng, Yi Shiau
Falkous, Gavin
Holden, Thomas
Deehan, David
Taylor, Robert W.
Turnbull, Doug M.
Picard, Martin
author_sort Vincent, Amy E.
collection PubMed
description 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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spelling pubmed-65135702019-05-13 Quantitative 3D Mapping of the Human Skeletal Muscle Mitochondrial Network Vincent, Amy E. White, Kathryn Davey, Tracey Philips, Jonathan Ogden, R. Todd Lawless, Conor Warren, Charlotte Hall, Matt G. Ng, Yi Shiau Falkous, Gavin Holden, Thomas Deehan, David Taylor, Robert W. Turnbull, Doug M. Picard, Martin Cell Rep Article 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. 2019-01-15 2019-01-22 /pmc/articles/PMC6513570/ /pubmed/30655224 http://dx.doi.org/10.1016/j.celrep.2019.01.010 Text en This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vincent, Amy E.
White, Kathryn
Davey, Tracey
Philips, Jonathan
Ogden, R. Todd
Lawless, Conor
Warren, Charlotte
Hall, Matt G.
Ng, Yi Shiau
Falkous, Gavin
Holden, Thomas
Deehan, David
Taylor, Robert W.
Turnbull, Doug M.
Picard, Martin
Quantitative 3D Mapping of the Human Skeletal Muscle Mitochondrial Network
title Quantitative 3D Mapping of the Human Skeletal Muscle Mitochondrial Network
title_full Quantitative 3D Mapping of the Human Skeletal Muscle Mitochondrial Network
title_fullStr Quantitative 3D Mapping of the Human Skeletal Muscle Mitochondrial Network
title_full_unstemmed Quantitative 3D Mapping of the Human Skeletal Muscle Mitochondrial Network
title_short Quantitative 3D Mapping of the Human Skeletal Muscle Mitochondrial Network
title_sort quantitative 3d mapping of the human skeletal muscle mitochondrial network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513570/
https://www.ncbi.nlm.nih.gov/pubmed/30655224
http://dx.doi.org/10.1016/j.celrep.2019.01.010
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