KMS Of Academy of mathematics and systems sciences, CAS
Ultrasensitive and high-efficiency screen of de novo low-frequency mutations by o2n-seq | |
Wang, Kaile1,2,3; Lai, Shujuan2; Yang, Xiaoxu4; Zhu, Tianqi5,6; Lu, Xuemei2; Wu, Chung-I2,7,8; Ruan, Jue1 | |
2017-05-22 | |
发表期刊 | NATURE COMMUNICATIONS |
ISSN | 2041-1723 |
卷号 | 8页码:11 |
摘要 | Detection of de novo, low-frequency mutations is essential for characterizing cancer genomes and heterogeneous cell populations. However, the screening capacity of current ultrasensitive NGS methods is inadequate owing to either low-efficiency read utilization or severe amplification bias. Here, we present o2n-seq, an ultrasensitive and high-efficiency NGS library preparation method for discovering de novo, low-frequency mutations. O2n-seq reduces the error rate of NGS to 10(-5-)10(-8). The efficiency of its data usage is about 10-30 times higher than that of barcode-based strategies. For detecting mutations with allele frequency (AF) 1% in 4.6 Mb-sized genome, the sensitivity and specificity of o2n-seq reach to 99% and 98.64%, respectively. For mutations with AF around 0.07% in phix174, o2n-seq detects all the mutations with 100% specificity. Moreover, we successfully apply o2n-seq to screen de novo, low-frequency mutations in human tumours. O2n-seq will aid to characterize the landscape of somatic mutations in research and clinical settings. |
DOI | 10.1038/ncomms15335 |
语种 | 英语 |
资助项目 | Chinese Academy of Sciences[XDB13040300] ; National key research and development program of China[2016YFC1200602] ; Fund of Key Laboratory of Shenzhen[ZDSYS20141118170111640] ; National Key Basic Research Program of China[2014CB542006] ; Natural Science Foundation of China[91531305] ; Natural Science Foundation of China[31571353] ; Agricultural Science and Technology Innovation Program (ASTIP) |
WOS研究方向 | Science & Technology - Other Topics |
WOS类目 | Multidisciplinary Sciences |
WOS记录号 | WOS:000401907100002 |
出版者 | NATURE PUBLISHING GROUP |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.amss.ac.cn/handle/2S8OKBNM/25331 |
专题 | 应用数学研究所 |
通讯作者 | Wu, Chung-I; Ruan, Jue |
作者单位 | 1.Chinese Acad Agr Sci, Agr Genom Inst, Pengfei Rd 7, Shenzhen 518120, Guangdong, Peoples R China 2.Chinese Acad Sci, Beijing Inst Genom, Key Lab Genom & Precis Med, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Peking Univ, Sch Life Sci, Ctr Bioinformat, State Key Lab Prot & Plant Gene Res, Beijing 100871, Peoples R China 5.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China 6.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Random Complex Struct & Data Sci, Beijing 100190, Peoples R China 7.Sun Yat Sen Univ, Sch Life Sci, State Key Lab Biocontrol, Guangzhou, Guangdong, Peoples R China 8.Univ Chicago, Dept Ecol & Evolut, 940 E 57Th St, Chicago, IL 60637 USA |
推荐引用方式 GB/T 7714 | Wang, Kaile,Lai, Shujuan,Yang, Xiaoxu,et al. Ultrasensitive and high-efficiency screen of de novo low-frequency mutations by o2n-seq[J]. NATURE COMMUNICATIONS,2017,8:11. |
APA | Wang, Kaile.,Lai, Shujuan.,Yang, Xiaoxu.,Zhu, Tianqi.,Lu, Xuemei.,...&Ruan, Jue.(2017).Ultrasensitive and high-efficiency screen of de novo low-frequency mutations by o2n-seq.NATURE COMMUNICATIONS,8,11. |
MLA | Wang, Kaile,et al."Ultrasensitive and high-efficiency screen of de novo low-frequency mutations by o2n-seq".NATURE COMMUNICATIONS 8(2017):11. |
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