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 .

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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

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article

MitoDelta: identifying mitochondrial DNA deletions at cell-type resolution from single-cell RNA sequencing data

Yasuyuki Shima, Yohei Sasagawa, Itoshi Nikaido, H. Nakagawa
BMC Genomics
Single-cell and spatial transcriptomics
article

MitoDelta: identifying mitochondrial DNA deletions at cell-type resolution from single-cell RNA sequencing data

Yasuyuki Shima, Yohei Sasagawa, Itoshi Nikaido, H. Nakagawa
article en

Abstract

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 .

BMC GenomicsVol. 26(1)
Tokyo Metropolitan Institute of Medical Science (JP), Chemical Dynamics (United States) (US), RIKEN Center for Advanced Intelligence Project (JP), RIKEN Advanced Science Institute (JP)
National Alliance for Research on Schizophrenia and Depression, Japan Society for the Promotion of Science, RIKEN
Openalex Percentile: Top 77%
Single-cell and spatial transcriptomics
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MitoDelta: identifying mitochondrial DNA deletions at cell-type resolution from single-cell RNA sequencing data — Yasuyuki Shima, Yohei Sasagawa, et al. · BMC Genomics (2025) | TGRS Research Map | TGRS