PT  - JOURNAL ARTICLE
AU  - Sarah A. Vitak
AU  - Kristof A. Torkenczy
AU  - Jimi L. Rosenkrantz
AU  - Andrew J. Fields
AU  - Lena Christiansen
AU  - Melissa H. Wong
AU  - Lucia Carbone
AU  - Frank J. Steemers
AU  - Andrew Adey
TI  - Construction of thousands of single cell genome sequencing libraries using combinatorial indexing
AID  - 10.1101/065482
DP  - 2016 Jan 01
TA  - bioRxiv
PG  - 065482
4099  - http://biorxiv.org/content/early/2016/07/23/065482.short
4100  - http://biorxiv.org/content/early/2016/07/23/065482.full
AB  - Single cell genome sequencing has proven to be a valuable tool for the detection of somatic variation, particularly in the context of tumor evolution and neuronal heterogeneity. Current technologies suffer from high per-cell library construction costs which restrict the number of cells that can be assessed, thus imposing limitations on the ability to quantitatively measure genomic heterogeneity within a tissue. Here, we present Single cell Combinatorial Indexed Sequencing (SCI-seq) as a means of simultaneously generating thousands of low-pass single cell libraries for the purpose of somatic copy number variant detection. In total, we constructed libraries for 16,698 single cells from a combination of cultured cell lines, frontal cortex tissue from Macaca mulatta, and two human adenocarcinomas. This novel technology provides the opportunity for low-cost, deep characterization of somatic copy number variation in single cells, providing a foundational knowledge across both healthy and diseased tissues.