Login / Signup

Mitoclone2: an R package for elucidating clonal structure in single-cell RNA-sequencing data using mitochondrial variants.

Benjamin A StoryLars VeltenGregor MönkeAhrmad AnnanLars M Steinmetz
Published in: NAR genomics and bioinformatics (2024)
Clonal cell population dynamics play a critical role in both disease and development. Due to high mitochondrial mutation rates under both healthy and diseased conditions, mitochondrial genomic variability is a particularly useful resource in facilitating the identification of clonal population structure. Here we present mitoClone2, an all-inclusive R package allowing for the identification of clonal populations through integration of mitochondrial heteroplasmic variants discovered from single-cell sequencing experiments. Our package streamlines the investigation of this phenomenon by providing: built-in compatibility with commonly used tools for the delineation of clonal structure, the ability to directly use multiplexed BAM files as input, annotations for both human and mouse mitochondrial genomes, and helper functions for calling, filtering, clustering, and visualizing variants.
Keyphrases
  • single cell
  • rna seq
  • oxidative stress
  • copy number
  • high throughput
  • endothelial cells
  • stem cells
  • machine learning
  • mesenchymal stem cells
  • gene expression
  • dendritic cells
  • bone marrow