Work

Sequencing thousands of single-cell genomes with combinatorial indexing

Year: 2017

Type: article

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 somatic copy number variant detection.

Source: Protocol Exchange

DOI: 10.1038/protex.2017.001

Authors: Andrew Adey, Sarah Vitak, Kristof Torkenczy, Jimi Rosenkrantz, Andrew Fields, Lena Christiansen, Melissa Wong, Lucia Carbone, Frank Steemers, Andrew Adey

Institutions: Oregon Health & Science University, Illumina (United States)

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: hybrid

OpenAlex ID: W4239983951

FWCI: 0.671

Cites:

Cited by: 10

Related to: 10