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A nanoscale, multi-parametric flow cytometry-based platform to study mitochondrial heterogeneity and mitochondrial DNA dynamics
Mitochondria are well-characterized regarding their function in both energy production and regulation of cell death; however, the heterogeneity that exists within mitochondrial populations is poorly understood. Typically analyzed as pooled samples comprised of millions of individual mitochondria, th...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6624292/ https://www.ncbi.nlm.nih.gov/pubmed/31312727 http://dx.doi.org/10.1038/s42003-019-0513-4 |
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author | MacDonald, Julie A. Bothun, Alisha M. Annis, Sofia N. Sheehan, Hannah Ray, Somak Gao, Yuanwei Ivanov, Alexander R. Khrapko, Konstantin Tilly, Jonathan L. Woods, Dori C. |
author_facet | MacDonald, Julie A. Bothun, Alisha M. Annis, Sofia N. Sheehan, Hannah Ray, Somak Gao, Yuanwei Ivanov, Alexander R. Khrapko, Konstantin Tilly, Jonathan L. Woods, Dori C. |
author_sort | MacDonald, Julie A. |
collection | PubMed |
description | Mitochondria are well-characterized regarding their function in both energy production and regulation of cell death; however, the heterogeneity that exists within mitochondrial populations is poorly understood. Typically analyzed as pooled samples comprised of millions of individual mitochondria, there is little information regarding potentially different functionality across subpopulations of mitochondria. Herein we present a new methodology to analyze mitochondria as individual components of a complex and heterogeneous network, using a nanoscale and multi–parametric flow cytometry-based platform. We validate the platform using multiple downstream assays, including electron microscopy, ATP generation, quantitative mass-spectrometry proteomic profiling, and mtDNA analysis at the level of single organelles. These strategies allow robust analysis and isolation of mitochondrial subpopulations to more broadly elucidate the underlying complexities of mitochondria as these organelles function collectively within a cell. |
format | Online Article Text |
id | pubmed-6624292 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66242922019-07-16 A nanoscale, multi-parametric flow cytometry-based platform to study mitochondrial heterogeneity and mitochondrial DNA dynamics MacDonald, Julie A. Bothun, Alisha M. Annis, Sofia N. Sheehan, Hannah Ray, Somak Gao, Yuanwei Ivanov, Alexander R. Khrapko, Konstantin Tilly, Jonathan L. Woods, Dori C. Commun Biol Article Mitochondria are well-characterized regarding their function in both energy production and regulation of cell death; however, the heterogeneity that exists within mitochondrial populations is poorly understood. Typically analyzed as pooled samples comprised of millions of individual mitochondria, there is little information regarding potentially different functionality across subpopulations of mitochondria. Herein we present a new methodology to analyze mitochondria as individual components of a complex and heterogeneous network, using a nanoscale and multi–parametric flow cytometry-based platform. We validate the platform using multiple downstream assays, including electron microscopy, ATP generation, quantitative mass-spectrometry proteomic profiling, and mtDNA analysis at the level of single organelles. These strategies allow robust analysis and isolation of mitochondrial subpopulations to more broadly elucidate the underlying complexities of mitochondria as these organelles function collectively within a cell. Nature Publishing Group UK 2019-07-11 /pmc/articles/PMC6624292/ /pubmed/31312727 http://dx.doi.org/10.1038/s42003-019-0513-4 Text en © The Author(s) 2019 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 MacDonald, Julie A. Bothun, Alisha M. Annis, Sofia N. Sheehan, Hannah Ray, Somak Gao, Yuanwei Ivanov, Alexander R. Khrapko, Konstantin Tilly, Jonathan L. Woods, Dori C. A nanoscale, multi-parametric flow cytometry-based platform to study mitochondrial heterogeneity and mitochondrial DNA dynamics |
title | A nanoscale, multi-parametric flow cytometry-based platform to study mitochondrial heterogeneity and mitochondrial DNA dynamics |
title_full | A nanoscale, multi-parametric flow cytometry-based platform to study mitochondrial heterogeneity and mitochondrial DNA dynamics |
title_fullStr | A nanoscale, multi-parametric flow cytometry-based platform to study mitochondrial heterogeneity and mitochondrial DNA dynamics |
title_full_unstemmed | A nanoscale, multi-parametric flow cytometry-based platform to study mitochondrial heterogeneity and mitochondrial DNA dynamics |
title_short | A nanoscale, multi-parametric flow cytometry-based platform to study mitochondrial heterogeneity and mitochondrial DNA dynamics |
title_sort | nanoscale, multi-parametric flow cytometry-based platform to study mitochondrial heterogeneity and mitochondrial dna dynamics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6624292/ https://www.ncbi.nlm.nih.gov/pubmed/31312727 http://dx.doi.org/10.1038/s42003-019-0513-4 |
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