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

Fan, Xiaoying and Tang, Dong and Liao, Yuhan and Li, Pidong and Zhang, Yu and Wang, Minxia and Liang, Fan and Wang, Xiao and Gao, Yun and Wen, Lu and Wang, Depeng and Wang, Yang and Tang, Fuchou and Koo, Bon-Kyoung (2020) Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing. PLOS Biology, 18 (12). e3001017. ISSN 1545-7885

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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.

Item Type: Article
Subjects: Article Archives > Biological Science
Depositing User: Unnamed user with email support@articlearchives.org
Date Deposited: 07 Jan 2023 09:33
Last Modified: 27 Apr 2024 13:22
URI: http://archive.paparesearch.co.in/id/eprint/41

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