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Multimodal single-cell analysis of nonrandom heteroplasmy distribution in human retinal mitochondrial disease
Nathaniel K. Mullin, … , Budd A. Tucker, Robert F. Mullins
Nathaniel K. Mullin, … , Budd A. Tucker, Robert F. Mullins
Published June 8, 2023
Citation Information: JCI Insight. 2023;8(14):e165937. https://doi.org/10.1172/jci.insight.165937.
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Research Article Genetics Ophthalmology

Multimodal single-cell analysis of nonrandom heteroplasmy distribution in human retinal mitochondrial disease

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Abstract

Variants within the high copy number mitochondrial genome (mtDNA) can disrupt organelle function and lead to severe multisystem disease. The wide range of manifestations observed in patients with mitochondrial disease results from varying fractions of abnormal mtDNA molecules in different cells and tissues, a phenomenon termed heteroplasmy. However, the landscape of heteroplasmy across cell types within tissues and its influence on phenotype expression in affected patients remains largely unexplored. Here, we identify nonrandom distribution of a pathogenic mtDNA variant across a complex tissue using single-cell RNA-Seq, mitochondrial single-cell ATAC sequencing, and multimodal single-cell sequencing. We profiled the transcriptome, chromatin accessibility state, and heteroplasmy in cells from the eyes of a patient with mitochondrial encephalopathy, lactic acidosis, and stroke-like episodes (MELAS) and from healthy control donors. Utilizing the retina as a model for complex multilineage tissues, we found that the proportion of the pathogenic m.3243A>G allele was neither evenly nor randomly distributed across diverse cell types. All neuroectoderm-derived neural cells exhibited a high percentage of the mutant variant. However, a subset of mesoderm-derived lineage, namely the vasculature of the choroid, was near homoplasmic for the WT allele. Gene expression and chromatin accessibility profiles of cell types with high and low proportions of m.3243A>G implicate mTOR signaling in the cellular response to heteroplasmy. We further found by multimodal single-cell sequencing of retinal pigment epithelial cells that a high proportion of the pathogenic mtDNA variant was associated with transcriptionally and morphologically abnormal cells. Together, these findings show the nonrandom nature of mitochondrial variant partitioning in human mitochondrial disease and underscore its implications for mitochondrial disease pathogenesis and treatment.

Authors

Nathaniel K. Mullin, Andrew P. Voigt, Miles J. Flamme-Wiese, Xiuying Liu, Megan J. Riker, Katayoun Varzavand, Edwin M. Stone, Budd A. Tucker, Robert F. Mullins

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Figure 1

Transcriptome and chromatin accessibility profiling in single cells isolated from MELAS and control eyes.

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Transcriptome and chromatin accessibility profiling in single cells isol...
(A) Experimental schematic of scRNA-Seq and mt-scATAC–Seq studies. Macular (M) and peripheral (P) punches were dissected into retina and RPE/choroid samples. These samples were dissociated, split, and subjected to scRNA-Seq and mt-scATAC–Seq. (B) Two-dimensional UMAP embedding of neural retinal cells based on gene expression (scRNA-Seq) data from the MELAS proband and control donors. (C) Two-dimensional UMAP embedding of RPE, and choroidal cells based on scRNA-Seq data from the proband and control donors. (D) Dot plot indicating the magnitude of expression (color) and proportion of cells (size of dot) expressing known marker genes in each neural retinal cluster annotated in B. (E) Dot plot of curated marker genes in the each RPE/choroid cluster annotated in C. (F) Two-dimensional UMAP embedding of neural retinal cells based on chromatin accessibility (mt-scATAC–Seq) data from the proband and control donors. (G) Two-dimensional UMAP embedding of RPE, and choroidal cells based on mt-scATAC–Seq data from the proband and control donor. Cells with label transfer prediction score less than 0.6 are shaded in dark gray. RGC, retinal ganglion cell; SMC, smooth muscle cell; RPE, retinal pigment epithelium.

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