bioRxivGenomicsPreprint
Construction of thousands of single cell genome sequencing libraries using combinatorial indexing
Sarah A. Vitak, Kristof A. Torkenczy, Jimi L. Rosenkrantz, Andrew J. Fields, Lena Christiansen, Melissa H. Wong, Lucia Carbone, Frank J. Steemers, Andrew Adey
Abstract
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.
- organism: human
- organism: mouse
- organism: non-human primate
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: variant effect prediction
- approach: experimental assay
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