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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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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. |
format | Online Article Text |
id | pubmed-6513570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
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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