Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing

生物 桑格测序 RNA序列 转录组 纳米孔测序 DNA测序 计算生物学 单细胞测序 深度测序 基因 胚胎 单细胞分析 Illumina染料测序 胚胎干细胞 遗传学 基因表达 细胞 基因组 表型 外显子组测序
作者
Xiaoying Fan,Dong Tang,Yuhan Liao,Pidong Li,Yu Zhang,Minxia Wang,Fan Liang,Xiao Wang,Yun Gao,Lu Wen,Depeng Wang,Yang Wang,Fuchou Tang
出处
期刊:PLOS Biology [Public Library of Science]
卷期号:18 (12): e3001017-e3001017 被引量:69
标识
DOI:10.1371/journal.pbio.3001017
摘要

The development of next generation sequencing (NGS) platform-based single-cell RNA sequencing (scRNA-seq) techniques has tremendously changed biological researches, while there are still many questions that cannot be addressed by them due to their short read lengths. We developed a novel scRNA-seq technology based on third-generation sequencing (TGS) platform (single-cell amplification and sequencing of full-length RNAs by Nanopore platform, SCAN-seq). SCAN-seq exhibited high sensitivity and accuracy comparable to NGS platform-based scRNA-seq methods. Moreover, we captured thousands of unannotated transcripts of diverse types, with high verification rate by reverse transcription PCR (RT-PCR)–coupled Sanger sequencing in mouse embryonic stem cells (mESCs). Then, we used SCAN-seq to analyze the mouse preimplantation embryos. We could clearly distinguish cells at different developmental stages, and a total of 27,250 unannotated transcripts from 9,338 genes were identified, with many of which showed developmental stage-specific expression patterns. Finally, we showed that SCAN-seq exhibited high accuracy on determining allele-specific gene expression patterns within an individual cell. SCAN-seq makes a major breakthrough for single-cell transcriptome analysis field.

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