Chromosome Segregation Errors Promote a Diverse Spectrum of Simple and Complex Genomic Rearrangements
Cancer genomes are frequently characterized by numerical and structural karyotypic abnormalities. Here we combined an inducible centromere-specific inactivation approach with selection for a conditionally essential gene, a strategy we term ‘CEN-SELECT’, and show that single-chromosome missegregation during cell division can directly drive a broad spectrum of structural rearrangement types. Cytogenetic profiling revealed that missegregated chromosomes are 120-fold more susceptible to developing seven major categories of structural variants, including translocations, insertions, deletions, and reassembly into chromothriptically rearranged chromosomes. Whole-genome sequencing of clones with genetically propagatable derivative chromosomes identified complex rearrangements and copy-number alterations that can result in gene inactivation or extrachromosomal gene amplification. We conclude that chromosome segregation errors are sufficient to drive extensive structural variation that recapitulates those commonly associated with human cancers.
- 22 samples
- DAC: EGAC00001000000
- Technologies: HiSeq X Ten, Illumina HiSeq 2000
- PUB DUO:0000019 (version: 2021-02-23)publication requiredThis data use modifier indicates that requestor agrees to make results of studies using the data available to the larger scientific community.
- US DUO:0000026 (version: 2021-02-23)user specific restrictionThis data use modifier indicates that use is limited to use by approved users.
- IS DUO:0000028 (version: 2021-02-23)institution specific restrictionThis data use modifier indicates that use is limited to use within an approved institution.
- GRU DUO:0000042 (version: 2021-02-23)general research useThis data use permission indicates that use is allowed for general research use for any research purpose.
Wellcome Trust Sanger Institute Cancer Genome Group Data Sharing Policy
Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.
Study ID | Study Title | Study Type |
---|---|---|
EGAS00001000147 | Cancer Genomics | |
EGAS00001002551 | Cancer Genomics |
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