Daniel M. DeLaughter
{"title":"The Use of the Fluidigm C1 for RNA Expression Analyses of Single Cells","authors":"Daniel M. DeLaughter","doi":"10.1002/cpmb.55","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":10734,"journal":{"name":"Current Protocols in Molecular Biology","volume":"122 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpmb.55","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Protocols in Molecular Biology","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpmb.55","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 19
Abstract
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.
Fluidigm C1在单细胞RNA表达分析中的应用
了解发生在单细胞水平上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接近数千到数百万个细胞的平均基因表达,无法描绘单个细胞的转录特征。个体细胞间相当大的生物学异质性源于细胞谱系、环境或对刺激反应的差异。单细胞RNA测序(RNA-seq)的发展使高分辨率和无偏的细胞转录组分析成为可能。本单元描述了一个程序,利用自动化微流控平台,Fluidigm C1系统,以尺寸和形状依赖的方式同时分离几十个单细胞。微流控平台在单个纳米级反应中处理细胞,将其内容物转化为双链cDNA。该cDNA使用Illumina Nextera XT文库制备试剂盒制作双索引文库,用于最终的RNA-seq分析。©2018 by John Wiley &儿子,Inc。
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