Genome-wide segregation of single nucleotide and structural variants into single cancer cells. (December 2017)

• Record Type: Journal Article
• Authors: Easton, John; Gonzalez-Pena, Veronica; Yergeau, Donald; Ma, Xiaotu; Gawad, Charles
• Is Part Of: BMC genomics. Volume 18:Number 1(2017)
• Page Start: 1
• Page End: 6
• Publication Date: 2017-12
• Subjects: Single-cell genomics -- cancer evolution -- acute lymphoblastic leukemia; Genomes -- Periodicals; Gene mapping -- Periodicals; Genomics -- Periodicals; Base Sequence -- Periodicals; Chromosome Mapping -- Periodicals; Genetic Techniques -- Periodicals; Sequence Analysis, DNA -- Periodicals; 572.8605
• DOI: 10.1186/s12864-017-4286-1
• Languages: English
• ISSNs: 1471-2164

Abstract

Abstract Background Single-cell genome sequencing provides high-resolution details of the clonal genomic modifications that occur during cancer initiation, progression, and ongoing evolution as patients undergo treatment. One limitation of current single-cell sequencing strategies is a suboptimal capacity to detect all classes of single-nucleotide and structural variants in the same cells. Results Here we present a new approach for determining comprehensive variant profiles of single cells using a microfluidic amplicon-based strategy to detect structural variant breakpoint sequences instead of using relative read depth to infer copy number changes. This method can reconstruct the clonal architecture and mutational history of a malignancy using all classes and sizes of somatic variants, providing more complete details of the temporal changes in mutational classes and processes that led to the development of a malignant neoplasm. Using this approach, we interrogated cells from a patient with leukemia, determining that processes producing structural variation preceded single nucleotide changes in the development of that malignancy. Conclusions All classes and sizes of genomic variants can be efficiently detected in single cancer cells using our new method, enabling the ordering of distinct classes of mutations during tumor evolution.