Microfluidics-free single-cell genomics with templated emulsification

利用模板乳化技术实现无微流控单细胞基因组学

阅读:4
作者:Iain C Clark ,Kristina M Fontanez ,Robert H Meltzer ,Yi Xue ,Corey Hayford ,Aaron May-Zhang ,Chris D'Amato ,Ahmad Osman ,Jesse Q Zhang ,Pabodha Hettige ,Jacob S A Ishibashi ,Cyrille L Delley ,Daniel W Weisgerber ,Joseph M Replogle ,Marco Jost ,Kiet T Phong ,Vanessa E Kennedy ,Cheryl A C Peretz ,Esther A Kim ,Siyou Song ,William Karlon ,Jonathan S Weissman ,Catherine C Smith ,Zev J Gartner ,Adam R Abate

Abstract

Current single-cell RNA-sequencing approaches have limitations that stem from the microfluidic devices or fluid handling steps required for sample processing. We develop a method that does not require specialized microfluidic devices, expertise or hardware. Our approach is based on particle-templated emulsification, which allows single-cell encapsulation and barcoding of cDNA in uniform droplet emulsions with only a vortexer. Particle-templated instant partition sequencing (PIP-seq) accommodates a wide range of emulsification formats, including microwell plates and large-volume conical tubes, enabling thousands of samples or millions of cells to be processed in minutes. We demonstrate that PIP-seq produces high-purity transcriptomes in mouse-human mixing studies, is compatible with multiomics measurements and can accurately characterize cell types in human breast tissue compared to a commercial microfluidic platform. Single-cell transcriptional profiling of mixed phenotype acute leukemia using PIP-seq reveals the emergence of heterogeneity within chemotherapy-resistant cell subsets that were hidden by standard immunophenotyping. PIP-seq is a simple, flexible and scalable next-generation workflow that extends single-cell sequencing to new applications.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。