Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
Top
  • View PDF
  • Download citation information
  • Send a comment
  • Terms of use
  • Standard abbreviations
  • Need help? Email the journal
  • Top
  • Abstract
  • Supplemental material
  • Version history
  • Article usage
  • Citations to this article
Advertisement

ResearchIn-Press PreviewGeneticsOphthalmology Open Access | 10.1172/jci.insight.165937

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

Nathaniel K. Mullin,1 Andrew P. Voigt,2 Miles J. Flamme-Wiese,1 Xiuying Liu,3 Megan J. Riker,2 Katayoun Varzavand,2 Edwin M. Stone,2 Budd A. Tucker,2 and Robert F. Mullins2

1Institute for Vision Research, University of Iowa, Iowa City, United States of America

2Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, United States of America

3Department of Internal Medicine, University of Iowa, Iowa City, United States of America

Find articles by Mullin, N. in: PubMed | Google Scholar |

1Institute for Vision Research, University of Iowa, Iowa City, United States of America

2Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, United States of America

3Department of Internal Medicine, University of Iowa, Iowa City, United States of America

Find articles by Voigt, A. in: PubMed | Google Scholar |

1Institute for Vision Research, University of Iowa, Iowa City, United States of America

2Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, United States of America

3Department of Internal Medicine, University of Iowa, Iowa City, United States of America

Find articles by Flamme-Wiese, M. in: PubMed | Google Scholar

1Institute for Vision Research, University of Iowa, Iowa City, United States of America

2Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, United States of America

3Department of Internal Medicine, University of Iowa, Iowa City, United States of America

Find articles by Liu, X. in: PubMed | Google Scholar

1Institute for Vision Research, University of Iowa, Iowa City, United States of America

2Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, United States of America

3Department of Internal Medicine, University of Iowa, Iowa City, United States of America

Find articles by Riker, M. in: PubMed | Google Scholar

1Institute for Vision Research, University of Iowa, Iowa City, United States of America

2Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, United States of America

3Department of Internal Medicine, University of Iowa, Iowa City, United States of America

Find articles by Varzavand, K. in: PubMed | Google Scholar

1Institute for Vision Research, University of Iowa, Iowa City, United States of America

2Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, United States of America

3Department of Internal Medicine, University of Iowa, Iowa City, United States of America

Find articles by Stone, E. in: PubMed | Google Scholar

1Institute for Vision Research, University of Iowa, Iowa City, United States of America

2Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, United States of America

3Department of Internal Medicine, University of Iowa, Iowa City, United States of America

Find articles by Tucker, B. in: PubMed | Google Scholar |

1Institute for Vision Research, University of Iowa, Iowa City, United States of America

2Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, United States of America

3Department of Internal Medicine, University of Iowa, Iowa City, United States of America

Find articles by Mullins, R. in: PubMed | Google Scholar |

Published June 8, 2023 - More info

JCI Insight. https://doi.org/10.1172/jci.insight.165937.
Copyright © 2023, Mullin et al. This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Published June 8, 2023 - Version history
View PDF
Abstract

Variants within the high copy number mitochondrial genome (mtDNA) can disrupt organelle function and lead to severe multi-system disease. The wide range of manifestations observed in mitochondrial disease patients 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 non-random distribution of a pathogenic mtDNA variant across a complex tissue using single-cell RNA sequencing, mitochondrial single-cell ATAC sequencing, and multimodal single-cell sequencing. We profile 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 healthy control donors. Utilizing the retina as a model for complex multi-lineage 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 wildtype 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 non-random nature of mitochondrial variant partitioning in human mitochondrial disease and underscore its implications for mitochondrial disease pathogenesis and treatment.

Graphical Abstract
graphical abstract
Supplemental material

View

Version history
  • Version 1 (June 8, 2023): In-Press Preview
  • Version 2 (July 24, 2023): Electronic publication

Article tools

  • View PDF
  • Download citation information
  • Send a comment
  • Terms of use
  • Standard abbreviations
  • Need help? Email the journal

Metrics

  • Article usage
  • Citations to this article

Go to

  • Top
  • Abstract
  • Supplemental material
  • Version history
Advertisement
Advertisement

Copyright © 2025 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts