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使用靶向测序比较七种单细胞全基因组扩增商业试剂盒。

Comparison of seven single cell whole genome amplification commercial kits using targeted sequencing.

机构信息

Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 234 Herzl Street, 7610001, Rehovot, Israel.

Stem Cell Core and Advanced Cell Technologies, Life Sciences Core Facilities, Weizmann Institute of Science, 761001, Rehovot, Israel.

出版信息

Sci Rep. 2021 Aug 25;11(1):17171. doi: 10.1038/s41598-021-96045-9.

DOI:10.1038/s41598-021-96045-9
PMID:34433869
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8387353/
Abstract

Advances in whole genome amplification (WGA) techniques enable understanding of the genomic sequence at a single cell level. Demand for single cell dedicated WGA kits (scWGA) has led to the development of several commercial kit. To this point, no robust comparison of all available kits was performed. Here, we benchmark an economical assay, comparing all commercially available scWGA kits. Our comparison is based on targeted sequencing of thousands of genomic loci, including highly mutable regions, from a large cohort of human single cells. Using this approach we have demonstrated the superiority of Ampli1 in genome coverage and of RepliG in reduced error rate. In summary, we show that no single kit is optimal across all categories, highlighting the need for a dedicated kit selection in accordance with experimental requirements.

摘要

全基因组扩增 (WGA) 技术的进步使我们能够在单细胞水平上了解基因组序列。对单细胞专用 WGA 试剂盒 (scWGA) 的需求促使了几种商业试剂盒的发展。到目前为止,还没有对所有可用试剂盒进行强有力的比较。在这里,我们基准测试了一种经济的检测方法,比较了所有市售的 scWGA 试剂盒。我们的比较是基于对数千个基因组位点的靶向测序,包括来自一大群人类单细胞的高度易变区域。使用这种方法,我们证明了 Ampli1 在基因组覆盖度和 RepliG 在降低错误率方面的优越性。总之,我们表明没有一个试剂盒在所有类别中都是最优的,这突出表明需要根据实验要求选择专用试剂盒。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6450/8387353/9966f290c7f3/41598_2021_96045_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6450/8387353/8222ec7fff10/41598_2021_96045_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6450/8387353/dab31b1b5779/41598_2021_96045_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6450/8387353/9966f290c7f3/41598_2021_96045_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6450/8387353/8222ec7fff10/41598_2021_96045_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6450/8387353/dab31b1b5779/41598_2021_96045_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6450/8387353/9966f290c7f3/41598_2021_96045_Fig3_HTML.jpg

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2
Comparative study of whole genome amplification and next generation sequencing performance of single cancer cells.单个癌细胞的全基因组扩增与下一代测序性能的比较研究。
Oncotarget. 2016 Jul 19;8(34):56066-56080. doi: 10.18632/oncotarget.10701. eCollection 2017 Aug 22.
3
Performance of four modern whole genome amplification methods for copy number variant detection in single cells.
Cell Rep Methods. 2025 Apr 21;5(4):101025. doi: 10.1016/j.crmeth.2025.101025.
4
Establishing genome sequencing and assembly for non-model and emerging model organisms: a brief guide.为非模式生物和新兴模式生物建立基因组测序与组装:简要指南
Front Zool. 2025 Apr 17;22(1):7. doi: 10.1186/s12983-025-00561-7.
5
Protocol for genome-wide analysis of somatic variants at single-cell resolution using primary template-directed DNA amplification.使用初级模板导向DNA扩增在单细胞分辨率下进行体细胞变异全基因组分析的方案。
STAR Protoc. 2025 Mar 21;6(1):103499. doi: 10.1016/j.xpro.2024.103499. Epub 2024 Dec 21.
6
Advancements in Circulating Tumor Cell Research: Bridging Biology and Clinical Applications.循环肿瘤细胞研究的进展:连接生物学与临床应用
Cancers (Basel). 2024 Mar 20;16(6):1213. doi: 10.3390/cancers16061213.
7
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4
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