Nature Structural & Molecular BiologyGenomicsPeer-reviewed journal article
MitoPerturb-Seq identifies common and gene-specific single-cell responses to mitochondrial DNA depletion and heteroplasmy
Stephen P. BurriD, Kathryn AucklandiD, Angelos GlynosiD, Abhilesh S DhawanjewariD, Cameron RyalliD, W. WeiiD, Antony M. Hynes-Allen, Malwina PrateriD, Matylda Sczaniecka-Clift, Julien PrudentiD, Patrick Francis ChinneryiD, Jelle van den AmeeleiD
Abstract
Mitochondria contain their own genome, the mitochondrial DNA (mtDNA), which is under strict control of the cell nucleus. mtDNA occurs in many copies in each cell, and mutations often only affect a proportion of them, giving rise to heteroplasmy. mtDNA copy number and heteroplasmy level together shape the cell- and tissue-specific impact of mtDNA mutations, ultimately giving rise to rare mitochondrial and common neurodegenerative diseases. However, little is known about how copy number and heteroplasmy interact within single cells, and how this is regulated by the nuclear genes and pathways that sense and control them. Here we describe MitoPerturb-Seq for CRISPR/Cas9-based high-throughput single-cell interrogation of the impact of nuclear gene perturbation on mtDNA copy number and heteroplasmy. We screened a panel of nuclear mtDNA maintenance genes in cells with heteroplasmic mtDNA mutations. This revealed both common and perturbation-specific aspects of the integrated stress-response to mtDNA depletion, that were only partially mediated by Atf4, and caused cell-cycle stage-independent slowing of cell proliferation. MitoPerturb-Seq thus provides novel experimental insight into disease-relevant mito-nuclear interactions, ultimately informing development of novel therapies targeting cell- and tissue-specific vulnerabilities to mitochondrial dysfunction.
- organism: human
- assay: scRNA-seq
- research focus: perturbation response prediction
- research focus: differential expression
- research focus: cell type annotation
- approach: experimental assay
- Citations
- 3
- FWCI
- 6.16
- Field percentile
- top 4%
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