%0 Journal Article %A Sarah A. Vitak %A Kristof A. Torkenczy %A Jimi L. Rosenkrantz %A Andrew J. Fields %A Lena Christiansen %A Melissa H. Wong %A Lucia Carbone %A Frank J. Steemers %A Andrew Adey %T Construction of thousands of single cell genome sequencing libraries using combinatorial indexing %D 2016 %R 10.1101/065482 %J bioRxiv %P 065482 %X 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. %U https://www.biorxiv.org/content/biorxiv/early/2016/07/23/065482.full.pdf