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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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. |
format | Online Article Text |
id | pubmed-7331593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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