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Updated: Jan 17, 2026

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Measuring Single-Cell Mitochondrial DNA Copy Number and Heteroplasmy Using Digital Droplet Polymerase Chain Reaction
Published on: July 12, 2022
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MitoScribe single-cell molecular recorder logs graded signaling dynamics into mitochondrial DNA
Linhan Wang1, Nikolaos Poulis1, Deepak Srivastava1,2,3,4
1Gladstone Institutes, San Francisco, CA, USA.
Biorxiv : the Preprint Server for Biology
|September 15, 2025
Summary
Researchers developed MitoScribe, a new mitochondrial DNA (mtDNA) recording system. This platform precisely logs cellular signals, enabling detailed reconstruction of past biological events within individual cells.
Area of Science:
- Molecular Biology
- Genetics
- Cell Biology
Background:
- Genetically encoded DNA recorders capture transient biological events as genomic mutations.
- Existing DNA-based recorders have limited capacity for quantifying signal magnitude within single cells.
Purpose of the Study:
- To introduce MitoScribe, a mitochondrial DNA (mtDNA)-based platform for high-capacity recording of biological signals.
- To enable sensitive, non-destructive, and durable measurement of molecular signals within individual cells.
Main Methods:
- Utilized mitochondrial DNA (mtDNA) base editors (DdCBEs) to introduce neutral single-nucleotide substitutions into mtDNA.
- Leveraged the high copy number of mtDNA per cell for signal amplification and recording.
- Integrated MitoScribe with single-cell RNA sequencing and mitochondrial transcript enrichment.
Main Results:
- MitoScribe demonstrated reproducible, sensitive, and high-throughput recording of molecular signals like hypoxia and various signaling pathways.
- Enabled multiplexed recording of independent signals and coincidence detection of overlapping signals.
- Reconstructed single-cell signaling dynamics and linked early differentiation heterogeneity to later cell states in human iPSC differentiation.
Conclusions:
- MitoScribe offers a scalable platform for high-resolution molecular recording in complex cellular environments.
- Provides a powerful tool for studying cellular signaling dynamics and heterogeneity.
- Facilitates deeper understanding of cell fate decisions and biological processes.
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