bioRxivCancer BiologyPreprint
scUnique: Measuring Ongoing Chromosomal Instability
Michael P SchneideriD, Shadi Darvish ShafighiiD, Amy E CulleniD, Akane Ota, Thomas BradleyiD, Dominique‐Laurent CouturieriD, Philip S. Smith, Anna PiskorziD, James D. BrentoniD, Florian M. MarkowetziD
Abstract
Chromosomal instability is a hallmark of cancer that can drive tumour heterogeneity and treatment resistance. However, scalable methods to measure the dynamics of chromosomal instability are lacking and thus historic genomic scars can be hard to distinguish from markers of currently active mutational processes. Here, we introduce scUnique, a novel approach to measure ongoing chromosomal instability from single-cell whole genome sequencing (scWGS) data. scUnique performs phylogeny-aware joint segmentation to refine single-cell copy number profiles and identifies recent copy number aberrations as statistically supported changes on the leaves of the inferred phylogenetic tree. This yields a per-cell measure of ongoing chromosomal instability at genome-wide resolution. We validate scUnique in (i) a comprehensive benchmarking study, (ii) in CRISPR-Cas-based experimental systems, and (iii) single-cell derived clones of a well-characterised ovarian model. We show that scUnique distinguishes ongoing HRD and FBI mutational processes. These results show that scUnique provides quantitative, scalable, genome-level information about ongoing chromosomal instability, not available in previous studies relying on bulk DNA-sequencing or single-cell imaging. In the future, these improved measurements could refine the understanding of mechanisms of chromosomal instability and lead to dynamic biomarkers for improved treatment decisions.
- organism: human
- assay: whole-genome sequencing
- research focus: chromatin & epigenetic regulation
- research focus: variant calling
- approach: deep learning
- approach: statistical model
- approach: benchmark study
- Citations
- 1
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Tracking ongoing chromosomal instability using single-cell whole-genome sequencing
Bárbara Hernando, Blas Chaves-Urbano, … Geoff Macintyre·bioRxiv·Nov 26, 2025
- Tracking genome evolution in single cell clones reveals the rates and features of copy number alterations generated by ongoing chromosomal instability in cancer.
S. E. McClelland, M. A. Guscott, … R. Schwarz·bioRxiv·Sep 27, 2023
- A survey of CIN measures across mechanistic models
A. R. Lynch, S. Bradford, … M. E. Burkard·bioRxiv·Jun 15, 2023
- Mechanisms of Chromosomal Instability in High-grade Serous Ovarian Carcinoma.
N. Tamura, N. Shaikh, … S. McClelland·bioRxiv·Aug 6, 2019
- CINmetrics: An R package for chromosomal instability analysis
V. H. Oza, J. L. Fisher, … B. N. Lasseigne·bioRxiv·Nov 15, 2021
- Distinct and common features of numerical and structural chromosomal instability across different cancer types
Xiaoxiao Zhang, Maik Kschischo·CancersPeer-reviewed·Mar 10, 2022