Mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures

Using a high-throughput mitochondrial phenotyping platform to quantify multiple mitochondrial features among molecularly defined immune cell subtypes, we quantify the natural variation in mitochondrial DNA copy number (mtDNAcn), citrate synthase, and respiratory chain enzymatic activities in human n...

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Autores principales: Shannon Rausser, Caroline Trumpff, Marlon A McGill, Alex Junker, Wei Wang, Siu-Hong Ho, Anika Mitchell, Kalpita R Karan, Catherine Monk, Suzanne C Segerstrom, Rebecca G Reed, Martin Picard
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Publicado: eLife Sciences Publications Ltd 2021
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Acceso en línea:https://doaj.org/article/66750d7ee5894ea68f42b14e43507f68
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spelling oai:doaj.org-article:66750d7ee5894ea68f42b14e43507f682021-11-24T16:29:06ZMitochondrial phenotypes in purified human immune cell subtypes and cell mixtures10.7554/eLife.708992050-084Xe70899https://doaj.org/article/66750d7ee5894ea68f42b14e43507f682021-10-01T00:00:00Zhttps://elifesciences.org/articles/70899https://doaj.org/toc/2050-084XUsing a high-throughput mitochondrial phenotyping platform to quantify multiple mitochondrial features among molecularly defined immune cell subtypes, we quantify the natural variation in mitochondrial DNA copy number (mtDNAcn), citrate synthase, and respiratory chain enzymatic activities in human neutrophils, monocytes, B cells, and naïve and memory T lymphocyte subtypes. In mixed peripheral blood mononuclear cells (PBMCs) from the same individuals, we show to what extent mitochondrial measures are confounded by both cell type distributions and contaminating platelets. Cell subtype-specific measures among women and men spanning four decades of life indicate potential age- and sex-related differences, including an age-related elevation in mtDNAcn, which are masked or blunted in mixed PBMCs. Finally, a proof-of-concept, repeated-measures study in a single individual validates cell type differences and also reveals week-to-week changes in mitochondrial activities. Larger studies are required to validate and mechanistically extend these findings. These mitochondrial phenotyping data build upon established immunometabolic differences among leukocyte subpopulations, and provide foundational quantitative knowledge to develop interpretable blood-based assays of mitochondrial health.Shannon RausserCaroline TrumpffMarlon A McGillAlex JunkerWei WangSiu-Hong HoAnika MitchellKalpita R KaranCatherine MonkSuzanne C SegerstromRebecca G ReedMartin PicardeLife Sciences Publications Ltdarticlemitochondrialeukocytessexual dimorphismagingdynamic variationimmunometabolismMedicineRScienceQBiology (General)QH301-705.5ENeLife, Vol 10 (2021)
institution DOAJ
collection DOAJ
language EN
topic mitochondria
leukocytes
sexual dimorphism
aging
dynamic variation
immunometabolism
Medicine
R
Science
Q
Biology (General)
QH301-705.5
spellingShingle mitochondria
leukocytes
sexual dimorphism
aging
dynamic variation
immunometabolism
Medicine
R
Science
Q
Biology (General)
QH301-705.5
Shannon Rausser
Caroline Trumpff
Marlon A McGill
Alex Junker
Wei Wang
Siu-Hong Ho
Anika Mitchell
Kalpita R Karan
Catherine Monk
Suzanne C Segerstrom
Rebecca G Reed
Martin Picard
Mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures
description Using a high-throughput mitochondrial phenotyping platform to quantify multiple mitochondrial features among molecularly defined immune cell subtypes, we quantify the natural variation in mitochondrial DNA copy number (mtDNAcn), citrate synthase, and respiratory chain enzymatic activities in human neutrophils, monocytes, B cells, and naïve and memory T lymphocyte subtypes. In mixed peripheral blood mononuclear cells (PBMCs) from the same individuals, we show to what extent mitochondrial measures are confounded by both cell type distributions and contaminating platelets. Cell subtype-specific measures among women and men spanning four decades of life indicate potential age- and sex-related differences, including an age-related elevation in mtDNAcn, which are masked or blunted in mixed PBMCs. Finally, a proof-of-concept, repeated-measures study in a single individual validates cell type differences and also reveals week-to-week changes in mitochondrial activities. Larger studies are required to validate and mechanistically extend these findings. These mitochondrial phenotyping data build upon established immunometabolic differences among leukocyte subpopulations, and provide foundational quantitative knowledge to develop interpretable blood-based assays of mitochondrial health.
format article
author Shannon Rausser
Caroline Trumpff
Marlon A McGill
Alex Junker
Wei Wang
Siu-Hong Ho
Anika Mitchell
Kalpita R Karan
Catherine Monk
Suzanne C Segerstrom
Rebecca G Reed
Martin Picard
author_facet Shannon Rausser
Caroline Trumpff
Marlon A McGill
Alex Junker
Wei Wang
Siu-Hong Ho
Anika Mitchell
Kalpita R Karan
Catherine Monk
Suzanne C Segerstrom
Rebecca G Reed
Martin Picard
author_sort Shannon Rausser
title Mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures
title_short Mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures
title_full Mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures
title_fullStr Mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures
title_full_unstemmed Mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures
title_sort mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures
publisher eLife Sciences Publications Ltd
publishDate 2021
url https://doaj.org/article/66750d7ee5894ea68f42b14e43507f68
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