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University of Cambridge

Measuring ongoing chromosomal instability in single-cell DNA sequencing data

Abstract

dc:description.abstract

Chromosomal instability is a characteristic hallmark of cancer. It is providing part of the genomic variation that makes cancer so heterogeneous and difficult to treat. Consequently, better insights into the mechanism and dynamics of chromosomal instability are fundamental to understanding and treating cancer. First, we introduce scAbsolute – a computational tool to correctly estimate single-cell ploidy and replication status. Cancer cells often exhibit DNA copy number aberrations and can vary widely in their ploidy as a consequence. Correct estimation of the ploidy of single cell genomes is crucial for many aspects of downstream analysis, such as copy number calling and inference of cell phylogenies. Based only on single-cell DNA sequencing information, scAbsolute achieves accurate and unbiased measurement of single-cell ploidy and replication status, including whole-genome doublings. We demonstrate scAbsolute’s capabilities using experimental cell multiplets, a FUCCI cell cycle expression system, and a benchmark against state-of-the-art methods. scAbsolute provides a robust foundation for single-cell DNA sequencing analysis across different technologies and for various downstream analyses. Second, we introduce scUnique and the notion of recent copy number aberrations – a way to measure ongoing chromosomal instability using single-cell whole-genome DNA sequencing. We demonstrate scUnique’s effectiveness in a number of simulations and investigate the read depth required to reliably call copy number aberrations at the level of individual cells. scUnique detects differences in the activity of mutational processes in cell lines derived from treatment naive and relapse tumour samples. By measuring chromosomal instability at the level of individual cells, we provide quantitative, scalable and whole-genome level information about the dynamics of chromosomal instability, not available in previous studies relying on bulk DNA sequencing or single-cell imaging. The temporal and whole-genome resolution of scUnique offers the opportunity to gain novel insights into the generative process underlying chromosomal instability. Ultimately, this thesis contributes to a better understanding of the dynamics and fundamental mechanisms of chromosomal instability, and has the potential to improve treatment decisions in the future.

Degree

thesis:*
Name dc:type.qualificationname
Doctor of Philosophy (PhD)
Level dc:type.qualificationlevel
Doctoral
Grantor dc:publisher.institution
University of Cambridge
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Schneider, Michael
Advisor dc:contributor.advisor
  • Markowetz, Florian

Subjects

dc:subject × 13

Rights

dc:rights
Language dc:language
eng

Identifiers

dc:identifier.*
DOI dc:identifier.doi
https://doi.org/10.17863/CAM.108660
OAI identifier oai:identifier
oai:www.repository.cam.ac.uk:1810/368476

Chain of custody

source
Harvested from
Cambridge University
Base URL
api.repository.cam.ac.uk/server/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Schneider, Michael. Measuring ongoing chromosomal instability in single-cell DNA sequencing data. Doctoral thesis, University of Cambridge, 2023. https://doi.org/10.17863/CAM.108660