多重位移放大
转座因子
拷贝数变化
基因组
生物
换位(逻辑)
遗传学
单细胞测序
计算生物学
DNA测序
基因组文库
DNA
聚合酶链反应
突变
基因
计算机科学
外显子组测序
DNA提取
基序列
人工智能
作者
Chongyi Chen,Dong Xing,Longzhi Tan,Heng Li,Guangyu Zhou,Lei Huang,Xiaohui Xie
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2017-04-13
卷期号:356 (6334): 189-194
被引量:419
标识
DOI:10.1126/science.aak9787
摘要
Single-cell genomics is important for biology and medicine. However, current whole-genome amplification (WGA) methods are limited by low accuracy of copy-number variation (CNV) detection and low amplification fidelity. Here we report an improved single-cell WGA method, Linear Amplification via Transposon Insertion (LIANTI), which outperforms existing methods, enabling micro-CNV detection with kilobase resolution. This allowed direct observation of stochastic firing of DNA replication origins, which differs from cell to cell. We also show that the predominant cytosine-to-thymine mutations observed in single-cell genomics often arise from the artifact of cytosine deamination upon cell lysis. However, identifying single-nucleotide variations (SNVs) can be accomplished by sequencing kindred cells. We determined the spectrum of SNVs in a single human cell after ultraviolet radiation, revealing their nonrandom genome-wide distribution.
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