High throughput single cell analysis of mitochondrial heteroplasmy in mitochondrial diseases

Ryotaro Maeda1, Daisuke Kami2, Hideki Maeda1

  • 1Department of Cardiovascular Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465, Kajii cho, Kamigyo ku, Kyoto, 802-8566, Japan.

Scientific Reports
|July 4, 2020
PubMed

Insights

New droplet digital PCR accurately measures mitochondrial heteroplasmy in single cells. This method distinguishes cell populations, aiding mitochondrial disease research and treatment strategies.

Area of Science:

  • Genetics
  • Cell Biology
  • Biochemistry

Background:

  • Mitochondrial heteroplasmy, or intracellular variation in mitochondrial DNA (mtDNA), is crucial for understanding mitochondrial diseases.
  • Existing methods struggle to differentiate between cells with uniform or varied levels of mutated mtDNA, hindering accurate diagnosis.

Purpose of the Study:

  • To develop a high-throughput method for quantifying mitochondrial heteroplasmy at the single-cell level.
  • To differentiate between intercellular homogeneity and heterogeneity in mtDNA mutation rates.

Main Methods:

  • Utilized droplet digital PCR (ddPCR) with TaqMan polymerase for high-throughput single-cell analysis.
  • Applied the method to cultured fibroblasts from patients with mitochondrial disease carrying mtDNA mutations.

Main Results:

  • Successfully identified three distinct cell populations: homoplasmic for healthy mtDNA, homoplasmic for mutated mtDNA, and heteroplasmic with both.
  • Demonstrated intercellular heterogeneity in mtDNA mutation rates even within uniform fibroblast cultures.

Conclusions:

  • The developed ddPCR method accurately diagnoses intercellular heterogeneity in mitochondrial heteroplasmy.
  • Findings suggest widespread cellular heterogeneity in mtDNA, impacting mitochondrial disease progression.
  • This methodology offers novel insights for developing targeted treatment strategies for mitochondrial disorders.

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