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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
灵巧的采蓝完成签到,获得积分20
1秒前
科研通AI5应助yeye采纳,获得10
2秒前
yangyang完成签到,获得积分10
2秒前
一帆风顺发布了新的文献求助10
2秒前
2秒前
4秒前
4秒前
细心可乐完成签到,获得积分10
4秒前
gt完成签到 ,获得积分10
4秒前
lei.qin完成签到 ,获得积分10
5秒前
丘比特应助ccccc1998采纳,获得10
5秒前
含蓄的荔枝完成签到,获得积分10
5秒前
Likx完成签到,获得积分10
5秒前
Grinder发布了新的文献求助10
5秒前
5秒前
niao发布了新的文献求助10
6秒前
Ray完成签到,获得积分10
6秒前
Richardisme完成签到,获得积分10
6秒前
7秒前
孤独听雨的猫完成签到 ,获得积分10
7秒前
Ava应助SuXuan采纳,获得10
8秒前
清新的安波完成签到,获得积分10
9秒前
我是老大应助历史真相采纳,获得10
9秒前
9秒前
9秒前
10秒前
lin完成签到,获得积分10
10秒前
sdzl完成签到,获得积分10
10秒前
搞搞学术吧完成签到,获得积分10
10秒前
i7完成签到,获得积分10
10秒前
evelyn完成签到 ,获得积分10
10秒前
lincool完成签到,获得积分10
11秒前
瑾笙发布了新的文献求助10
11秒前
11秒前
JamesPei应助科研通管家采纳,获得10
11秒前
研友_VZG7GZ应助科研通管家采纳,获得10
11秒前
小蘑菇应助科研通管家采纳,获得10
12秒前
隐形曼青应助章德仁采纳,获得10
12秒前
脑洞疼应助科研通管家采纳,获得10
12秒前
高分求助中
Applied Survey Data Analysis (第三版, 2025) 800
Assessing and Diagnosing Young Children with Neurodevelopmental Disorders (2nd Edition) 700
Images that translate 500
引进保护装置的分析评价八七年国外进口线路等保护运行情况介绍 500
Algorithmic Mathematics in Machine Learning 500
Handbook of Innovations in Political Psychology 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3841198
求助须知:如何正确求助?哪些是违规求助? 3383176
关于积分的说明 10528587
捐赠科研通 3103166
什么是DOI,文献DOI怎么找? 1709180
邀请新用户注册赠送积分活动 822971
科研通“疑难数据库(出版商)”最低求助积分说明 773733