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

Xiaoying Fan(Peking University), Dong Tang(Grandomics (China)), Yuhan Liao(Peking University), Pidong Li(Grandomics (China)), Yu Zhang(Peking University), Minxia Wang(Grandomics (China)), Fan Liang(Grandomics (China)), Xiao Wang(Peking University), Yun Gao(Peking University), Lu Wen(Peking University), Depeng Wang(Grandomics (China)), Yang Wang(Grandomics (China)), Fuchou Tang(Ministry of Education of the People's Republic of China)
PLoS Biology
December 30, 2020
Cited by 96Open Access
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Abstract

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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