A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design

一种具有改进的 UMI 设计的经济有效的 5΄ 选择性单细胞转录组分析方法

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作者:Marie-Jeanne Arguel, Kevin LeBrigand, Agnès Paquet, Sandra Ruiz García, Laure-Emmanuelle Zaragosi, Pascal Barbry, Rainer Waldmann

Abstract

Single cell RNA sequencing approaches are instrumental in studies of cell-to-cell variability. 5΄ selective transcriptome profiling approaches allow simultaneous definition of the transcription start size and have advantages over 3΄ selective approaches which just provide internal sequences close to the 3΄ end. The only currently existing 5΄ selective approach requires costly and labor intensive fragmentation and cell barcoding after cDNA amplification. We developed an optimized 5΄ selective workflow where all the cell indexing is done prior to fragmentation. With our protocol, cell indexing can be performed in the Fluidigm C1 microfluidic device, resulting in a significant reduction of cost and labor. We also designed optimized unique molecular identifiers that show less sequence bias and vulnerability towards sequencing errors resulting in an improved accuracy of molecule counting. We provide comprehensive experimental workflows for Illumina and Ion Proton sequencers that allow single cell sequencing in a cost range comparable to qPCR assays.

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