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Dhawanjewar, A.

Publications and source records attributed to Dhawanjewar, A..

2 recordsLinked to original sources

MitoPerturb-Seq identifies common and gene-specific single-cell responses to mitochondrial DNA depletion and heteroplasmy

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.

genomics↗

Single-molecule mitochondrial DNA imaging reveals heteroplasmy dynamics shaped by developmental bottlenecks and selection in different organs in vivo

Mitochondrial DNA (mtDNA) occurs in many copies per cell, with cell-to-cell variability in mutation load, known as heteroplasmy. Developmental and age-related expansion of pathogenic mtDNA mutations contributes to mitochondrial and neurodegenerative disease pathogenesis. Here, we describe an approach for in situ sequence-specific detection of single mtDNA molecules (mtDNA-smFISH). We apply this method to visualize and measure in situ mtDNA and heteroplasmy levels at single-cell resolution in whole-mount Drosophila tissue and cultured human cells. In Drosophila, we identify a somatic mtDNA bottleneck during neurogenesis. This amplifies heteroplasmy variability between neurons, as predicted from a mathematical bottleneck model, predisposing individual neurons to a high mutation load and degeneration. However, both during neurogenesis and oogenesis, mtDNA segregation is accompanied by purifying selection, promoting wild-type over mutant mtDNA. mtDNA-smFISH thus elucidates novel mechanisms whereby developmental cell-fate transitions, accompanied by changes in cell morphology, behaviour and metabolism, will shape disease-relevant and tissue-specific transmission and selection of mtDNA mutations.

developmental biology↗