Quantitative mitochondrial DNA copy number determination using droplet digital PCR with single-cell resolution

  1. Jerry W. Shay1
  1. 1Department of Cell Biology, UT Southwestern Medical Center, Dallas, Texas 75390, USA;
  2. 2Geriatric Unit, Department of Medical Sciences and Community Health, University of Milan, 20122 Milan, Italy;
  3. 3Fondazione Ca’ Granda, IRCCS Ospedale Maggiore Policlinico, 20122 Milan, Italy
  1. 4 These authors contributed equally to this work.

  • Corresponding author: Jerry.Shay{at}UTSouthwestern.edu
  • Abstract

    Mitochondria are involved in a number of diverse cellular functions, including energy production, metabolic regulation, apoptosis, calcium homeostasis, cell proliferation, and motility, as well as free radical generation. Mitochondrial DNA (mtDNA) is present at hundreds to thousands of copies per cell in a tissue-specific manner. mtDNA copy number also varies during aging and disease progression and therefore might be considered as a biomarker that mirrors alterations within the human body. Here, we present a new quantitative, highly sensitive droplet digital PCR (ddPCR) method, droplet digital mitochondrial DNA measurement (ddMDM), to measure mtDNA copy number not only from cell populations but also from single cells. Our developed assay can generate data in as little as 3 h, is optimized for 96-well plates, and also allows the direct use of cell lysates without the need for DNA purification or nuclear reference genes. We show that ddMDM is able to detect differences between samples whose mtDNA copy number was close enough as to be indistinguishable by other commonly used mtDNA quantitation methods. By utilizing ddMDM, we show quantitative changes in mtDNA content per cell across a wide variety of physiological contexts including cancer progression, cell cycle progression, human T cell activation, and human aging.

    Footnotes

    • [Supplemental material is available for this article.]

    • Article published online before print. Article, supplemental material, and publication date are at http://www.genome.org/cgi/doi/10.1101/gr.250480.119.

    • Freely available online through the Genome Research Open Access option.

    • Received March 15, 2019.
    • Accepted September 20, 2019.

    This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/.

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