体细胞
计算生物学
生物
背景(考古学)
基因组
拷贝数变化
单细胞分析
大规模并行测序
单细胞测序
遗传学
细胞
基因
突变
外显子组测序
古生物学
作者
Sarah A. Vitak,Kristof A. Torkenczy,Jimi L. Rosenkrantz,Andrew J. Fields,Lena Christiansen,Melissa Hirose Wong,Lucia Carbone,Frank J. Steemers,Andrew Adey
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2017-01-30
卷期号:14 (3): 302-308
被引量:294
摘要
Single-cell combinatorial indexed sequencing (SCI-seq) resolves genomic heterogeneity by generating thousands of low-pass single-cell libraries at once for somatic copy number variant detection. 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI