拷贝数变化
基因组
单细胞测序
生物
DNA测序
计算生物学
基因组学
拷贝数分析
分类
遗传学
DNA
表型
基因
计算机科学
外显子组测序
算法
作者
Timour Baslan,Jude Kendall,Linda Rodgers,Hilary Cox,Mike Riggs,Asya Stepansky,Jennifer Troge,Kandasamy Ravi,Diane Esposito,B. Lakshmi,Michael Wigler,Nicholas Navin,James Hicks
出处
期刊:Nature Protocols
[Springer Nature]
日期:2012-05-03
卷期号:7 (6): 1024-1041
被引量:351
标识
DOI:10.1038/nprot.2012.039
摘要
Copy number variation (CNV) is increasingly recognized as an important contributor to phenotypic variation in health and disease. Most methods for determining CNV rely on admixtures of cells in which information regarding genetic heterogeneity is lost. Here we present a protocol that allows for the genome-wide copy number analysis of single nuclei isolated from mixed populations of cells. Single-nucleus sequencing (SNS), combines flow sorting of single nuclei on the basis of DNA content and whole-genome amplification (WGA); this is followed by next-generation sequencing to quantize genomic intervals in a genome-wide manner. Multiplexing of single cells is discussed. In addition, we outline informatic approaches that correct for biases inherent in the WGA procedure and allow for accurate determination of copy number profiles. All together, the protocol takes ∼3 d from flow cytometry to sequence-ready DNA libraries.
科研通智能强力驱动
Strongly Powered by AbleSci AI