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  • 标题:Accurate SNV detection in single cells by transposon-based whole-genome amplification of complementary strands
  • 本地全文:下载
  • 作者:Dong Xing ; Longzhi Tan ; Chi-Han Chang
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2021
  • 卷号:118
  • 期号:8
  • 页码:1
  • DOI:10.1073/pnas.2013106118
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:Single-nucleotide variants (SNVs), pertinent to aging and disease, occur sporadically in the human genome, hence necessitating single-cell measurements. However, detection of single-cell SNVs suffers from false positives (FPs) due to intracellular single-stranded DNA damage and the process of whole-genome amplification (WGA). Here, we report a single-cell WGA method termed multiplexed end-tagging amplification of complementary strands (META-CS), which eliminates nearly all FPs by virtue of DNA complementarity, and achieved the highest accuracy thus far. We validated META-CS by sequencing kindred cells and human sperm, and applied it to other human tissues. Investigation of mature single human neurons revealed increasing SNVs with age and potentially unrepaired strand-specific oxidative guanine damage. We determined SNV frequencies along the genome in differentiated single human blood cells, and identified cell type-dependent mutational patterns for major types of lymphocytes.
  • 关键词:single-cell sequencing ; mutations ; false positives ; Tn5 transposition ; complementary DNA strands
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