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用于下一代测序的高效单细胞文库制备的小型化技术

Miniaturization Technologies for Efficient Single-Cell Library Preparation for Next-Generation Sequencing.

作者信息

Mora-Castilla Sergio, To Cuong, Vaezeslami Soheila, Morey Robert, Srinivasan Srimeenakshi, Chousal Jennifer N, Cook-Andersen Heidi, Jenkins Joby, Laurent Louise C

机构信息

Department of Reproductive Medicine, University of California, San Diego, La Jolla, CA, USA.

TTP Labtech Ltd., Melbourn Science Park, Melbourn, Royston, Hertfordshire, UK.

出版信息

J Lab Autom. 2016 Aug;21(4):557-67. doi: 10.1177/2211068216630741. Epub 2016 Feb 18.

Abstract

As the cost of next-generation sequencing has decreased, library preparation costs have become a more significant proportion of the total cost, especially for high-throughput applications such as single-cell RNA profiling. Here, we have applied novel technologies to scale down reaction volumes for library preparation. Our system consisted of in vitro differentiated human embryonic stem cells representing two stages of pancreatic differentiation, for which we prepared multiple biological and technical replicates. We used the Fluidigm (San Francisco, CA) C1 single-cell Autoprep System for single-cell complementary DNA (cDNA) generation and an enzyme-based tagmentation system (Nextera XT; Illumina, San Diego, CA) with a nanoliter liquid handler (mosquito HTS; TTP Labtech, Royston, UK) for library preparation, reducing the reaction volume down to 2 µL and using as little as 20 pg of input cDNA. The resulting sequencing data were bioinformatically analyzed and correlated among the different library reaction volumes. Our results showed that decreasing the reaction volume did not interfere with the quality or the reproducibility of the sequencing data, and the transcriptional data from the scaled-down libraries allowed us to distinguish between single cells. Thus, we have developed a process to enable efficient and cost-effective high-throughput single-cell transcriptome sequencing.

摘要

随着新一代测序成本的降低,文库制备成本在总成本中所占比例变得更高,尤其是对于单细胞RNA分析等高通量应用而言。在此,我们应用了新技术来缩小文库制备的反应体积。我们的系统由代表胰腺分化两个阶段的体外分化人胚胎干细胞组成,我们针对这些细胞制备了多个生物学和技术重复样本。我们使用Fluidigm(加利福尼亚州旧金山)C1单细胞自动制备系统来生成单细胞互补DNA(cDNA),并使用基于酶的转座酶系统(Nextera XT;Illumina,加利福尼亚州圣地亚哥)和纳升级液体处理器(mosquito HTS;TTP Labtech,英国罗伊斯顿)来进行文库制备,将反应体积减少至2微升,并使用低至20皮克的输入cDNA。对所得测序数据进行生物信息学分析,并在不同文库反应体积之间进行关联。我们的结果表明,减小反应体积不会干扰测序数据的质量或可重复性,并且缩小文库的转录数据使我们能够区分单细胞。因此,我们开发了一种方法来实现高效且经济高效的高通量单细胞转录组测序。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a426/4948133/d44f31dd5e94/10.1177_2211068216630741-fig1.jpg

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