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 (AAAS)]
日期:2017-04-13
卷期号:356 (6334): 189-194
被引量:402
标识
DOI:10.1126/science.aak9787
摘要
Making an unbiased library Sequencing the genome of single cells gives insight into issues such as cell-to-cell heterogeneity and genome instability. Key to single-cell sequencing techniques are whole-genome amplification (WGA) methods that provide sufficient DNA for next-generation sequencing. Current WGA methods have been hampered by low accuracy and spatial resolution of gene copy numbers and by low amplification fidelity. Chen et al. report an improved single-cell WGA method, Linear Amplification via Transposon Insertion (LIANTI). The DNA is randomly fragmented by Tn5 transposition of a transposon that includes a T7 promoter, which allows linear amplification. The authors used the method to determine the spectrum of single-nucleotide variations in a single human cell after ultraviolet radiation. Science , this issue p. 189
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