Single Day Workflow for High-Quality Whole Genome Analysis of Thousands of Single Cells

Joe Dahl1, Jeff Blackington1, Kyle Hukari1, Jay West1

1: Bioskryb Genomics

DNA sequencing technology provides the capability to tell the story of every cell in a heterogenous sample. ResolveDNA® generates uniform coverage of >95% of a single genome, enabling researchers to generate single-cell genomic data of unparalleled quality. Here, we report an enhancement to the ResolveDNA® workflow that increases the rate of data collection; the ability to reliably generate complete genomic information from up to 1536 cells in parallel from a single experiment. To achieve this, we have coupled a high-throughput automated process to a low volume reaction using the latest ResolveDNA® 2.5-hour chemistry. This establishes the potential for users to go from a single cell, or low-input DNA sample, to ready to sequence libraries in a single day for >3000 samples. As with earlier ResolveDNA® workflows, these reactions generate negligible amounts of contaminating and off target DNA during the reaction. A typical single-cell reaction yields ~ 85 ng of DNA. The single cell’s amplified DNA product is amenable to multiple post amplification library preparation processes. We utilized both BioSkryb ResolveDNA® and Watchmaker Library Preparation kits for Illumina sequencing. We did not identify significant differences in the performance of the two products. Libraries were assessed at a depth of ~ 2million reads and determined to be of high quality, with low rates of chimeric DNA formation and less than 1% mtDNA resulting in the reaction product. A subset of samples was probed at >200 million reads, with >85% of the genome covered at 1x. Consistent with earlier ResolveDNA® workflows, the libraries were characterized with >99% precision and >80% sensitivity. The story told from a single cell’s genome drives discovery and shines a light on the questions surrounding the causes of disease and cellular function. This workflow is designed to empower researchers to probe the genomic landscape of a heterogenous tissue sample.