High-throughput single-cell whole-genome amplification through centrifugal emulsification and eMDA

被引:34
作者
Fu, Yusi [1 ,2 ]
Zhang, Fangli [1 ,2 ]
Zhang, Xiannian [1 ,2 ]
Yin, Junlong [3 ,4 ]
Du, Meijie [3 ,4 ]
Jiang, Mengcheng [1 ,2 ]
Liu, Lu [1 ,2 ]
Li, Jie [3 ,4 ]
Huang, Yanyi [1 ,2 ]
Wang, Jianbin [3 ,4 ]
机构
[1] Peking Univ, Beijing Adv Innovat Ctr Genom ICG, Biomed Pioneering Innovat Ctr BIOPIC, Sch Life Sci,Coll Engn, Beijing 100871, Peoples R China
[2] Peking Univ, Peking Tsinghua Ctr Life Sci, Beijing 100871, Peoples R China
[3] Tsinghua Univ, Sch Life Sci, Beijing 100084, Peoples R China
[4] Tsinghua Univ, Tsinghua Peking Ctr Life Sci, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
COPY-NUMBER VARIATION; MOUSE EARLY EMBRYOS; RNA-SEQ; GENE-EXPRESSION; READ ALIGNMENT; DNA; POLYMERASE; GENERATION; EVOLUTION;
D O I
10.1038/s42003-019-0401-y
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Single-cell whole-genome sequencing (scWGS) is mainly used to probe intercellular genomic variations, focusing on the copy number variations or alterations and the single-nucleotide variations (SNVs) occurring within single cells. Single-cell whole-genome amplification (scWGA) needs to be applied before scWGS but is challenging due to the low copy number of DNA. Besides, many genomic variations are rare within a population of cells, so the throughput of currently available scWGA methods is far from satisfactory. Here, we integrate a one-step micro-capillary array (MiCA)-based centrifugal droplet generation technique with emulsion multiple displacement amplification (eMDA) and demonstrate a high-throughput scWGA method, MiCA-eMDA. MiCA-eMDA increases the single-run throughput of scWGA to a few dozen, and enables the assessment of copy number variations and alterations at 50-kb resolution. Downstream target enrichment further enables the detection of SNVs with 20% allele drop-out.
引用
收藏
页数:10
相关论文
共 38 条
  • [11] Single-Cell DNA Methylome Sequencing and Bioinformatic Inference of Epigenomic Cell-State Dynamics
    Farlik, Matthias
    Sheffield, Nathan C.
    Nuzzo, Angelo
    Datlinger, Paul
    Schoenegger, Andreas
    Klughammer, Johanna
    Bock, Christoph
    [J]. CELL REPORTS, 2015, 10 (08): : 1386 - 1397
  • [12] Uniform and accurate single-cell sequencing based on emulsion whole-genome amplification
    Fu, Yusi
    Li, Chunmei
    Lu, Sijia
    Zhou, Wenxiong
    Tang, Fuchou
    Xie, X. Sunney
    Huang, Yanyi
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2015, 112 (38) : 11923 - 11928
  • [13] Dissecting the clonal origins of childhood acute lymphoblastic leukemia by single-cell genomics
    Gawad, Charles
    Koh, Winston
    Quake, Stephen R.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2014, 111 (50) : 17947 - 17952
  • [14] Massively parallel polymerase cloning and genome sequencing of single cells using nanoliter microwells
    Gole, Jeff
    Gore, Athurva
    Richards, Andrew
    Chiu, Yu-Jui
    Fung, Ho-Lim
    Bushman, Diane
    Chiang, Hsin-I
    Chun, Jerold
    Lo, Yu-Hwa
    Zhang, Kun
    [J]. NATURE BIOTECHNOLOGY, 2013, 31 (12) : 1126 - +
  • [15] Single-cell multi-omics sequencing of mouse early embryos and embryonic stem cells
    Guo, Fan
    Li, Lin
    Li, Jingyun
    Wu, Xinglong
    Hu, Boqiang
    Zhu, Ping
    Wen, Lu
    Tang, Fuchou
    [J]. CELL RESEARCH, 2017, 27 (08) : 967 - 988
  • [16] Resolution of Cell Fate Decisions Revealed by Single-Cell Gene Expression Analysis from Zygote to Blastocyst
    Guo, Guoji
    Huss, Mikael
    Tong, Guo Qing
    Wang, Chaoyang
    Sun, Li Li
    Clarke, Neil D.
    Robson, Paul
    [J]. DEVELOPMENTAL CELL, 2010, 18 (04) : 675 - 685
  • [17] Single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing
    Guo, Hongshan
    Zhu, Ping
    Wu, Xinglong
    Li, Xianlong
    Wen, Lu
    Tang, Fuchou
    [J]. GENOME RESEARCH, 2013, 23 (12) : 2126 - 2135
  • [18] Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas
    Hou, Yu
    Guo, Huahu
    Cao, Chen
    Li, Xianlong
    Hu, Boqiang
    Zhu, Ping
    Wu, Xinglong
    Wen, Lu
    Tang, Fuchou
    Huang, Yanyi
    Peng, Jirun
    [J]. CELL RESEARCH, 2016, 26 (03) : 304 - 319
  • [19] Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Types
    Jaitin, Diego Adhemar
    Kenigsberg, Ephraim
    Keren-Shaul, Hadas
    Elefant, Naama
    Paul, Franziska
    Zaretsky, Irina
    Mildner, Alexander
    Cohen, Nadav
    Jung, Steffen
    Tanay, Amos
    Amit, Ido
    [J]. SCIENCE, 2014, 343 (6172) : 776 - 779
  • [20] Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]