DNA测序
单细胞测序
计算生物学
多重位移放大
DNA
基因组文库
协议(科学)
单细胞分析
大规模并行测序
DNA纳米球测序
DNA测序器
生物
计算机科学
纳米孔测序
多路复用
外显子组测序
遗传学
细胞
基序列
聚合酶链反应
基因
DNA提取
突变
医学
病理
替代医学
作者
Marco L. Leung,Yong Wang,Charissa Kim,Ruli Gao,Jing Jiang,Emi Sei,Nicholas Navin
出处
期刊:Nature Protocols
[Springer Nature]
日期:2016-01-07
卷期号:11 (2): 214-235
被引量:46
标识
DOI:10.1038/nprot.2016.005
摘要
Single-cell DNA sequencing methods are challenged by poor physical coverage, high technical error rates and low throughput. To address these issues, we developed a single-cell DNA sequencing protocol that combines flow-sorting of single nuclei, time-limited multiple-displacement amplification (MDA), low-input library preparation, DNA barcoding, targeted capture and next-generation sequencing (NGS). This approach represents a major improvement over our previous single nucleus sequencing (SNS) Nature Protocols paper in terms of generating higher-coverage data (>90%), thereby enabling the detection of genome-wide variants in single mammalian cells at base-pair resolution. Furthermore, by pooling 48-96 single-cell libraries together for targeted capture, this approach can be used to sequence many single-cell libraries in parallel in a single reaction. This protocol greatly reduces the cost of single-cell DNA sequencing, and it can be completed in 5-6 d by advanced users. This single-cell DNA sequencing protocol has broad applications for studying rare cells and complex populations in diverse fields of biological research and medicine.
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