TY - JOUR T1 - Construction of thousands of single cell genome sequencing libraries using combinatorial indexing JF - bioRxiv DO - 10.1101/065482 SP - 065482 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 Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/07/23/065482.abstract N2 - 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. ER -