MitoDelta: identifying mitochondrial DNA deletions at cell-type resolution from single-cell RNA sequencing data
MitoDelta enables the transcriptome-integrated, cell-type-specific detection of mtDNA deletions from single-cell RNA sequencing data alone, offering a valuable framework for reanalyzing public datasets and studying mitochondrial genome alterations at cell-type resolution. This integrated approach enables insights into how mtDNA deletions are distributed across specific cell types and cellular states, providing new opportunities to investigate the role of mtDNA deletions in cell-type-specific disease mechanisms. The tool is available at https://github.com/NikaidoLaboratory/mitodelta .
Authors
- Yasuyuki Shima (ORCID: https://orcid.org/0000-0003-4695-9631)
- Yohei Sasagawa (ORCID: https://orcid.org/0000-0002-9746-4869)
- Itoshi Nikaido (ORCID: https://orcid.org/0000-0002-7261-2570)
- H. Nakagawa
Institutions
- Tokyo Metropolitan Institute of Medical Science (JP)
- Chemical Dynamics (United States) (US)
- RIKEN Center for Advanced Intelligence Project (JP)
- RIKEN Advanced Science Institute (JP)
Publication Details
- Journal
- BMC Genomics
- Published
- 2025-09-25
- DOI
- https://doi.org/10.1186/s12864-025-11931-0
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Alliance for Research on Schizophrenia and Depression
- Japan Society for the Promotion of Science
- RIKEN