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Subcellular connectomic analyses of energy networks in striated muscle

Mapping biological circuit connectivity has revolutionized our understanding of structure-function relationships. Although connectomic analyses have primarily focused on neural systems, electrical connectivity within muscle mitochondrial networks was recently demonstrated to provide a rapid mechanis...

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Autores principales: Bleck, Christopher K. E., Kim, Yuho, Willingham, T. Bradley, Glancy, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6269443/
https://www.ncbi.nlm.nih.gov/pubmed/30504768
http://dx.doi.org/10.1038/s41467-018-07676-y
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author Bleck, Christopher K. E.
Kim, Yuho
Willingham, T. Bradley
Glancy, Brian
author_facet Bleck, Christopher K. E.
Kim, Yuho
Willingham, T. Bradley
Glancy, Brian
author_sort Bleck, Christopher K. E.
collection PubMed
description Mapping biological circuit connectivity has revolutionized our understanding of structure-function relationships. Although connectomic analyses have primarily focused on neural systems, electrical connectivity within muscle mitochondrial networks was recently demonstrated to provide a rapid mechanism for cellular energy distribution. However, tools to evaluate organelle connectivity with high spatial fidelity within single cells are currently lacking. Here, we developed a framework to quantitatively assess mitochondrial network connectivity and interactions with cellular sites of energy storage, utilization, and calcium cycling in cardiac, oxidative, and glycolytic muscle. We demonstrate that mitochondrial network configuration, individual mitochondrial size and shape, and the junctions connecting mitochondria within each network are consistent with the differing contraction demands of each muscle type. Moreover, mitochondria-lipid droplet interaction analyses suggest that individual mitochondria within networks may play specialized roles regarding energy distribution and calcium cycling within the cell and reveal the power of connectomic analyses of organelle interactions within single cells.
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spelling pubmed-62694432018-12-03 Subcellular connectomic analyses of energy networks in striated muscle Bleck, Christopher K. E. Kim, Yuho Willingham, T. Bradley Glancy, Brian Nat Commun Article Mapping biological circuit connectivity has revolutionized our understanding of structure-function relationships. Although connectomic analyses have primarily focused on neural systems, electrical connectivity within muscle mitochondrial networks was recently demonstrated to provide a rapid mechanism for cellular energy distribution. However, tools to evaluate organelle connectivity with high spatial fidelity within single cells are currently lacking. Here, we developed a framework to quantitatively assess mitochondrial network connectivity and interactions with cellular sites of energy storage, utilization, and calcium cycling in cardiac, oxidative, and glycolytic muscle. We demonstrate that mitochondrial network configuration, individual mitochondrial size and shape, and the junctions connecting mitochondria within each network are consistent with the differing contraction demands of each muscle type. Moreover, mitochondria-lipid droplet interaction analyses suggest that individual mitochondria within networks may play specialized roles regarding energy distribution and calcium cycling within the cell and reveal the power of connectomic analyses of organelle interactions within single cells. Nature Publishing Group UK 2018-11-30 /pmc/articles/PMC6269443/ /pubmed/30504768 http://dx.doi.org/10.1038/s41467-018-07676-y Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Bleck, Christopher K. E.
Kim, Yuho
Willingham, T. Bradley
Glancy, Brian
Subcellular connectomic analyses of energy networks in striated muscle
title Subcellular connectomic analyses of energy networks in striated muscle
title_full Subcellular connectomic analyses of energy networks in striated muscle
title_fullStr Subcellular connectomic analyses of energy networks in striated muscle
title_full_unstemmed Subcellular connectomic analyses of energy networks in striated muscle
title_short Subcellular connectomic analyses of energy networks in striated muscle
title_sort subcellular connectomic analyses of energy networks in striated muscle
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6269443/
https://www.ncbi.nlm.nih.gov/pubmed/30504768
http://dx.doi.org/10.1038/s41467-018-07676-y
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