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Updated: Jan 17, 2026
Assembly of Complex Microtubule Structures
Heteroplasmic mitochondrial DNA mutations in normal and tumour cells
Yiping He1, Jian Wu, Devin C Dressman
1The Ludwig Center for Cancer Genetics and Therapeutics and The Howard Hughes Medical Institute at The Johns Hopkins Kimmel Cancer Center, Baltimore, Maryland 21231, USA.
Human cells contain numerous mitochondrial DNA (mtDNA) copies, challenging sequencing. Digital sequencing reveals widespread mtDNA heterogeneity (heteroplasmy) in normal cells, varying by tissue and including cancer mutations detectable in plasma.
Area of Science:
- Genomics
- Molecular Biology
- Biochemistry
Background:
- Mitochondrial DNA (mtDNA) exists in high copy numbers per cell.
- Conventional sequencing methods face challenges in complete mtDNA genome characterization.
- Human mtDNA is often presumed to be homogeneous within an individual.
Purpose of the Study:
- To develop and apply digital sequencing for comprehensive mtDNA genome analysis.
- To investigate the extent of mtDNA heterogeneity (heteroplasmy) in normal human cells.
- To compare mtDNA variants across different tissues and in cancer cells.
Main Methods:
- Massively parallel sequencing-by-synthesis approaches were employed for digital sequencing.
- Analysis focused on characterizing the complete mtDNA genome.
- Variants were identified and quantified in various normal tissues, cancer cells, and patient plasma.
Main Results:
- Widespread mtDNA heteroplasmy was detected in normal human cells, challenging the homogeneity assumption.
- The frequency of heteroplasmic variants differed significantly between tissues within the same individual.
- Cancer cells exhibited additional homoplasmic and heteroplasmic mutations, some detectable in plasma.
Conclusions:
- Digital sequencing enables detailed characterization of complex mtDNA populations.
- Human individuals possess a diverse mixture of mitochondrial genotypes, not a single one.
- Findings have implications for understanding mitochondrial function, embryogenesis, cancer biomarkers, and forensics.
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