| Literature DB >> 27412862 |
Kaston Leung1, Anders Klaus1, Bill K Lin1, Emma Laks2, Justina Biele2, Daniel Lai3, Ali Bashashati3, Yi-Fei Huang2, Radhouane Aniba2, Michelle Moksa4, Adi Steif2, Anne-Marie Mes-Masson5, Martin Hirst6, Sohrab P Shah7, Samuel Aparicio7, Carl L Hansen8.
Abstract
The genomes of large numbers of single cells must be sequenced to further understanding of the biological significance of genomic heterogeneity in complex systems. Whole genome amplification (WGA) of single cells is generally the first step in such studies, but is prone to nonuniformity that can compromise genomic measurement accuracy. Despite recent advances, robust performance in high-throughput single-cell WGA remains elusive. Here, we introduce droplet multiple displacement amplification (MDA), a method that uses commercially available liquid dispensing to perform high-throughput single-cell MDA in nanoliter volumes. The performance of droplet MDA is characterized using a large dataset of 129 normal diploid cells, and is shown to exceed previously reported single-cell WGA methods in amplification uniformity, genome coverage, and/or robustness. We achieve up to 80% coverage of a single-cell genome at 5× sequencing depth, and demonstrate excellent single-nucleotide variant (SNV) detection using targeted sequencing of droplet MDA product to achieve a median allelic dropout of 15%, and using whole genome sequencing to achieve false and true positive rates of 9.66 × 10(-6) and 68.8%, respectively, in a G1-phase cell. We further show that droplet MDA allows for the detection of copy number variants (CNVs) as small as 30 kb in single cells of an ovarian cancer cell line and as small as 9 Mb in two high-grade serous ovarian cancer samples using only 0.02× depth. Droplet MDA provides an accessible and scalable method for performing robust and accurate CNV and SNV measurements on large numbers of single cells.Entities:
Keywords: microdroplet; multiple displacement amplification; nanoliter volume; single-cell sequencing; whole genome amplification
Mesh:
Year: 2016 PMID: 27412862 PMCID: PMC4968760 DOI: 10.1073/pnas.1520964113
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205