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Sequencing thousands of single-cell genomes with combinatorial indexing.

ABSTRACT: Single-cell genome sequencing has proven valuable for the detection of somatic variation, particularly in the context of tumor evolution. Current technologies suffer from high library construction costs, which restrict the number of cells that can be assessed and thus impose limitations on the ability to measure 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 detection of somatic copy-number variants. We constructed libraries for 16,698 single cells from a combination of cultured cell lines, primate frontal cortex tissue and two human adenocarcinomas, and obtained a detailed assessment of subclonal variation within a pancreatic tumor.

SUBMITTER: Vitak SA

PROVIDER: S-EPMC5908213 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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Sequencing thousands of single-cell genomes with combinatorial indexing.

Vitak Sarah A SA Torkenczy Kristof A KA Rosenkrantz Jimi L JL Fields Andrew J AJ Christiansen Lena L Wong Melissa H MH Carbone Lucia L Steemers Frank J FJ Adey Andrew A

Nature methods 20170130 3

Single-cell genome sequencing has proven valuable for the detection of somatic variation, particularly in the context of tumor evolution. Current technologies suffer from high library construction costs, which restrict the number of cells that can be assessed and thus impose limitations on the ability to measure 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 ...[more]

PMID: 28135258

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