bioRxivCancer BiologyPreprint
Evolutionary tracking of cancer haplotypes at single-cell resolution
M. J. Williams, T. Funnell, C. O'Flanagan, A. McPherson, S. Salehi, I. Vazquez-Garcia, F. Kabeer, H. Lee, T. Masud, P. Eirew, D. Yap, B. Wang, J. Brimhall, J. Biele, J. Ting, S. Beatty, D. Lai, J. Pham, D. Grewel, D. Abrams, E. Havasov, S. Leung, V. Bojilova, A. C. Weiner, N. Rusk, , S. P. Shah
Abstract
Cancer genomes exhibit extensive chromosomal copy number changes and structural variation, yet how allele specific alterations drive cancer genome evolution remains unclear. Here, through application of a new computational approach we report allele specific copy number alterations in 11,097 single cell whole genomes from genetically engineered mammary epithelial cells and 21,852 cells from high grade serous ovarian and triple negative breast cancers. Resolving single cell copy number profiles to individual alleles uncovered genomic background distributions of gains, losses and loss of heterozygosity, yielding evidence of positive selection of specific chromosomal alterations. In addition specific genomic loci in maternal and paternal alleles were commonly found to be altered in parallel with convergent phenotypic transcriptional effects. Finally we show that haplotype specific alterations trace the cyclical etiology of high level amplifications and reveal clonal haplotype decomposition of complex structures. Together, our results illuminate how allele and haplotype specific alterations, here determined across thousands of single cell cancer genomes, impact the etiology and evolution of structural variations in human tumours.
- organism: human
- assay: whole-genome sequencing
- research focus: chromatin & epigenetic regulation
- research focus: cancer & tumor microenvironment
- research focus: clustering
- research focus: differential expression
- approach: statistical model
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