Discovering cellular mitochondrial heteroplasmy heterogeneity with single cell RNA and ATAC sequencing
File(s)
Published version
Author(s)
Marshall, Aidan
Jones, Nick
Type
Journal Article
Abstract
Next generation sequencing technologies have revolutionised the study of biological systems by enabling the examination of a broad range of tissues. Its application to single cell genomics has generated a dynamic and evolving field with a vast amount of research highlighting heterogeneity in transcriptional, genetic and epigenomic state between cells. However, compared to these aspects of cellular heterogeneity, relatively little has been gleaned from the single cell datasets regarding cellular mitochondrial heterogeneity. Single cell sequencing techniques can provide coverage of the mitochondrial genome which allows researchers to probe heteroplasmies 0at the level of the single cell, and observe interactions with cellular function. In this review we give an overview of two popular single cell modalities — single cell RNA sequencing and single cell ATAC sequencing — whose throughput and widespread usage offers researchers the chance to probe heteroplasmy combined with cell state in detailed resolution across thousands of cells. After summarising these technologies in the context of mitochondrial research, we give an overview of recent methods which have used these approaches for discovering mitochondrial heterogeneity. We conclude by highlighting current limitations of these approaches and open problems for future consideration.
Date Issued
2021-06-05
Date Acceptance
2021-05-28
Citation
Biology, 2021, 10 (503), pp.1/20-1/20
ISSN
2079-7737
Publisher
MDPI
Start Page
1/20
End Page
1/20
Journal / Book Title
Biology
Volume
10
Issue
503
Copyright Statement
© 2021 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
License URL
Sponsor
Engineering & Physical Science Research Council (EPSRC)
The Leverhulme Trust
Identifier
https://www.mdpi.com/2079-7737/10/6/503
Grant Number
EP/N014529/1
RPG-2018-408
Subjects
06 Biological Sciences
Publication Status
Published
Date Publish Online
2021-06-05