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High throughput single cell analysis of mitochondrial heteroplasmy in mitochondrial diseases

Mitochondrial heteroplasmy, which fundamentally means intracellular heterogeneity of mitochondrial DNA (mtDNA), has been measured in a group of cells, regardless of intercellular heterogeneity. Ordinal methods for mitochondrial heteroplasmy cannot discriminate between an intercellular homogenic popu...

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Autores principales: Maeda, Ryotaro, Kami, Daisuke, Maeda, Hideki, Shikuma, Akira, Gojo, Satoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331593/
https://www.ncbi.nlm.nih.gov/pubmed/32616755
http://dx.doi.org/10.1038/s41598-020-67686-z
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author Maeda, Ryotaro
Kami, Daisuke
Maeda, Hideki
Shikuma, Akira
Gojo, Satoshi
author_facet Maeda, Ryotaro
Kami, Daisuke
Maeda, Hideki
Shikuma, Akira
Gojo, Satoshi
author_sort Maeda, Ryotaro
collection PubMed
description Mitochondrial heteroplasmy, which fundamentally means intracellular heterogeneity of mitochondrial DNA (mtDNA), has been measured in a group of cells, regardless of intercellular heterogeneity. Ordinal methods for mitochondrial heteroplasmy cannot discriminate between an intercellular homogenic population composed of cells with similar intracellular heterogeneity for mtDNA and an intercellular heterogenic population composed of cells with different rates of mutated mtDNA. A high-throughput method to determine mitochondrial heteroplasmy in a single cell was developed by using droplet digital PCR with TaqMan polymerase in this study. This technique revealed that there are three different cell populations of cultured fibroblasts derived from patients with mitochondrial disease carrying a mutation in the mtDNA; cells with homoplasmy of either mutated or healthy mtDNA; and cells mixed with mutated and healthy mtDNA. The presence of intercellular heterogeneity, even in uniformed cultured fibroblasts, suggests that heterogeneity should exist among different kinds of cells. The diagnosis of intercellular heterogeneity with respect to mitochondrial heteroplasmy by this methodology could provide novel insight into developing a treatment strategy for mitochondrial diseases.
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spelling pubmed-73315932020-07-06 High throughput single cell analysis of mitochondrial heteroplasmy in mitochondrial diseases Maeda, Ryotaro Kami, Daisuke Maeda, Hideki Shikuma, Akira Gojo, Satoshi Sci Rep Article Mitochondrial heteroplasmy, which fundamentally means intracellular heterogeneity of mitochondrial DNA (mtDNA), has been measured in a group of cells, regardless of intercellular heterogeneity. Ordinal methods for mitochondrial heteroplasmy cannot discriminate between an intercellular homogenic population composed of cells with similar intracellular heterogeneity for mtDNA and an intercellular heterogenic population composed of cells with different rates of mutated mtDNA. A high-throughput method to determine mitochondrial heteroplasmy in a single cell was developed by using droplet digital PCR with TaqMan polymerase in this study. This technique revealed that there are three different cell populations of cultured fibroblasts derived from patients with mitochondrial disease carrying a mutation in the mtDNA; cells with homoplasmy of either mutated or healthy mtDNA; and cells mixed with mutated and healthy mtDNA. The presence of intercellular heterogeneity, even in uniformed cultured fibroblasts, suggests that heterogeneity should exist among different kinds of cells. The diagnosis of intercellular heterogeneity with respect to mitochondrial heteroplasmy by this methodology could provide novel insight into developing a treatment strategy for mitochondrial diseases. Nature Publishing Group UK 2020-07-02 /pmc/articles/PMC7331593/ /pubmed/32616755 http://dx.doi.org/10.1038/s41598-020-67686-z Text en © The Author(s) 2020 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
Maeda, Ryotaro
Kami, Daisuke
Maeda, Hideki
Shikuma, Akira
Gojo, Satoshi
High throughput single cell analysis of mitochondrial heteroplasmy in mitochondrial diseases
title High throughput single cell analysis of mitochondrial heteroplasmy in mitochondrial diseases
title_full High throughput single cell analysis of mitochondrial heteroplasmy in mitochondrial diseases
title_fullStr High throughput single cell analysis of mitochondrial heteroplasmy in mitochondrial diseases
title_full_unstemmed High throughput single cell analysis of mitochondrial heteroplasmy in mitochondrial diseases
title_short High throughput single cell analysis of mitochondrial heteroplasmy in mitochondrial diseases
title_sort high throughput single cell analysis of mitochondrial heteroplasmy in mitochondrial diseases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331593/
https://www.ncbi.nlm.nih.gov/pubmed/32616755
http://dx.doi.org/10.1038/s41598-020-67686-z
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