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自动化空间转录组文库制备以快速、稳健地洞察组织的空间结构。

Automation of Spatial Transcriptomics library preparation to enable rapid and robust insights into spatial organization of tissues.

机构信息

Science for Life Laboratory, Department of Gene Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden.

Science for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.

出版信息

BMC Genomics. 2020 Apr 15;21(1):298. doi: 10.1186/s12864-020-6631-z.

Abstract

BACKGROUND

Interest in studying the spatial distribution of gene expression in tissues is rapidly increasing. Spatial Transcriptomics is a novel sequencing-based technology that generates high-throughput information on the distribution, heterogeneity and co-expression of cells in tissues. Unfortunately, manual preparation of high-quality sequencing libraries is time-consuming and subject to technical variability due to human error during manual pipetting, which results in sample swapping and the accidental introduction of batch effects. All these factors complicate the production and interpretation of biological datasets.

RESULTS

We have integrated an Agilent Bravo Automated Liquid Handling Platform into the Spatial Transcriptomics workflow. Compared to the previously reported Magnatrix 8000+ automated protocol, this approach increases the number of samples processed per run, reduces sample preparation time by 35%, and minimizes batch effects between samples. The new approach is also shown to be highly accurate and almost completely free from technical variability between prepared samples.

CONCLUSIONS

The new automated Spatial Transcriptomics protocol using the Agilent Bravo Automated Liquid Handling Platform rapidly generates high-quality Spatial Transcriptomics libraries. Given the wide use of the Agilent Bravo Automated Liquid Handling Platform in research laboratories and facilities, this will allow many researchers to quickly create robust Spatial Transcriptomics libraries.

摘要

背景

对研究组织中基因表达空间分布的兴趣正在迅速增加。空间转录组学是一种新颖的基于测序的技术,可提供组织中细胞分布、异质性和共表达的高通量信息。不幸的是,由于手动移液过程中的人为错误,高质量测序文库的手动制备既耗时又容易受到技术变异性的影响,这会导致样品交换和意外引入批处理效应。所有这些因素都使生物数据集的生成和解释变得复杂。

结果

我们已经将安捷伦 Bravo 自动化液体处理平台集成到空间转录组学工作流程中。与之前报道的 Magnatrix 8000+ 自动化方案相比,该方法增加了每个运行处理的样品数量,将样品制备时间缩短了 35%,并最大限度地减少了样品之间的批处理效应。新方法还被证明具有高度准确性,并且几乎完全消除了制备样品之间的技术变异性。

结论

使用安捷伦 Bravo 自动化液体处理平台的新自动化空间转录组学方案可快速生成高质量的空间转录组学文库。鉴于安捷伦 Bravo 自动化液体处理平台在研究实验室和设施中的广泛使用,这将使许多研究人员能够快速创建稳健的空间转录组学文库。

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