生物技术通报 ›› 2016, Vol. 32 ›› Issue (12): 58-64.

• 技术与方法 • 上一篇    下一篇

低深度测序在检测单细胞染色体微小变异中的应用探索

陈大洋1,甄贺富2,刘萍2,邱咏2,谢林2,刘弘泰1,陈芳2   

  1. 1. 中国科学院大学华大教育中心,深圳 518083;
    2. 深圳华大基因研究院,深圳 518083
  • 收稿日期:2016-04-16 出版日期:2016-12-25 发布日期:2016-12-07
  • 作者简介:陈大洋,男,硕士研究生,研究方向:胚胎筛查;E-mail:chendayang@genomics.cn
  • 基金资助:
    深圳市未来产业专项资金(CXZZ20140808170655268)

Application of Low-coverage Whole Genome Sequencing in Detecting Chromosome Micro Variations of Single Cell

CHEN Da-yang1,ZHEN He-fu2,LIU Ping2,QIU Yong2,XIE Lin2,LIU Hong-tai1,CHEN Fang2   

  1. 1. BGI Education Center,University of Chinese Academy of Sciences,Shenzhen 518083;
    2. Beijing Genomics Institute,Shenzhen 518083
  • Received:2016-04-16 Published:2016-12-25 Online:2016-12-07

摘要: 旨在探讨低深度测序在检测单细胞染色体微小变异中的应用。以经过比较基因组杂交(array CGH,aCGH)检测的5例阳性细胞系为研究对象,从中分离的单细胞分别用两种单细胞扩增试剂盒进行扩增,采用Hiseq2000测序平台进行全基因组测序,然后进行生物信息学分析,将检测结果与已被aCGH证实的结果进行比较。结果显示,5个单细胞的全基因组扩增成功,通过低深度测序均获得明确的检测结果。在用GenomePlex? Single Cell WGA Kit试剂盒的处理中检出区域与aCGH检测区域均有80%以上的重叠,1个样本检出了8 Mb(Megabase)左右的假阳性;在用PicoPLEX? WGA Kit试剂盒处理时检出信号与aCGH区域也有80%以上的重叠且无假阳性信号产生。证实在数据量为0.1 X左右时可以检出单细胞染色体上7 Mb以上的拷贝数变异。

关键词: 单细胞, 低深度, 染色体变异, 扩增

Abstract: The paper aims to study the application of low-coverage whole genome sequencing in detecting chromosome micro variations of single cell. Using 5 cell lines with positive signal and validated by aCGH as research object,the complete genome of single cell amplified by two commercial kits was sequenced by Hiseq2000;then,comparing the results by bioinformatics with those validated by aCGH. Results showed that in preliminary tests,the whole genome amplification(WGA)was successful in the 5 single cells. Following the low-coverage whole genome sequencing,they all showed the expected karyotype. While using the GenomePlex? Single Cell WGA Kit,the overlapping rate of the detection results and aCGH results was more than 80%,but there was 1 false positive signal of about 8 Mb(Megabase)in 1 sample. While using PicoPLEX? WGA Kit,the overlapping rate of the detection results and aCGH results also was more than 80%,and there was no false positive signal in detection results. The results confirmed that the method would detect the copy number variations larger than 7 Mb via the low-coverage whole genome sequencing(0.1 X).

Key words: single cell, low-coverage, chromosome variations, amplification

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