DeLaughter Daniel M
Harvard Medical School, Department of Genetics, Boston, Massachusetts.
Curr Protoc Mol Biol. 2018 Apr;122(1):e55. doi: 10.1002/cpmb.55.
Understanding the transcriptional heterogeneity that occurs on the level of a single cell is critical to understanding the gene-regulatory mechanisms underlying development and disease. Population-level whole-transcriptome profiling approaches average gene expression across thousands to millions of cells and are unable to delineate the transcriptional signature of individual cells. Considerable biological heterogeneity between individual cells arises from differences in cell lineage, environment, or response to stimulus. The development of single-cell RNA sequencing (RNA-seq) enabled a high-resolution and unbiased analysis of cell transcriptomes. This unit describes a procedure utilizing an automated microfluidic platform, the Fluidigm C1 system, to simultaneously isolate dozens of single cells in a size- and shape-dependent manner. The microfluidic platform processes cells in individual nanoliter-scale reactions to convert their contents into double-stranded cDNA. This cDNA is used to make dual-indexed libraries using the Illumina Nextera XT library preparation kit for eventual RNA-seq analysis. © 2018 by John Wiley & Sons, Inc.
了解单细胞水平上发生的转录异质性对于理解发育和疾病背后的基因调控机制至关重要。群体水平的全转录组分析方法会对数千到数百万个细胞的基因表达进行平均,无法描绘单个细胞的转录特征。单个细胞之间存在相当大的生物学异质性,这源于细胞谱系、环境或对刺激的反应的差异。单细胞RNA测序(RNA-seq)技术的发展使得对细胞转录组进行高分辨率且无偏差的分析成为可能。本单元描述了一种利用自动化微流控平台Fluidigm C1系统以大小和形状依赖的方式同时分离数十个单细胞的方法。该微流控平台在单个纳升级反应中处理细胞,将其内容物转化为双链cDNA。使用Illumina Nextera XT文库制备试剂盒,利用该cDNA构建双索引文库,最终用于RNA-seq分析。© 2018 John Wiley & Sons, Inc.