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离心乳化和 eMDA 高通量单细胞全基因组扩增。

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

机构信息

1Beijing Advanced Innovation Center for Genomics (ICG), Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, College of Engineering, and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871 China.

2School of Life Sciences, and Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, 100084 China.

出版信息

Commun Biol. 2019 Apr 29;2:147. doi: 10.1038/s42003-019-0401-y. eCollection 2019.

DOI:10.1038/s42003-019-0401-y
PMID:31044172
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6488574/
Abstract

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.

摘要

单细胞全基因组测序 (scWGS) 主要用于探测细胞间基因组变异,侧重于单个细胞内发生的拷贝数变异或改变以及单核苷酸变异 (SNVs)。scWGS 之前需要进行单细胞全基因组扩增 (scWGA),但由于 DNA 拷贝数低,这具有挑战性。此外,许多基因组变异在细胞群体中是罕见的,因此目前可用的 scWGA 方法的通量远远不能令人满意。在这里,我们将一步式微毛细管阵列 (MiCA) 为基础的离心液滴生成技术与乳液多重置换扩增 (eMDA) 相结合,展示了一种高通量的 scWGA 方法,MiCA-eMDA。MiCA-eMDA 将 scWGA 的单轮通量提高到几十个,并且能够以 50-kb 的分辨率评估拷贝数变异和改变。下游目标富集进一步使检测具有 20%等位基因缺失的 SNVs 成为可能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e262/6488574/f88620def73e/42003_2019_401_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e262/6488574/833f9a33de5a/42003_2019_401_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e262/6488574/23cbb9046203/42003_2019_401_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e262/6488574/dca0186e582a/42003_2019_401_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e262/6488574/538a3b538fb8/42003_2019_401_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e262/6488574/f88620def73e/42003_2019_401_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e262/6488574/833f9a33de5a/42003_2019_401_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e262/6488574/23cbb9046203/42003_2019_401_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e262/6488574/dca0186e582a/42003_2019_401_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e262/6488574/538a3b538fb8/42003_2019_401_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e262/6488574/f88620def73e/42003_2019_401_Fig5_HTML.jpg

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