RNase H–dependent PCR-enabled T-cell receptor sequencing for highly specific and efficient targeted sequencing of T-cell receptor mRNA for single-cell and repertoire analysis

T细胞受体 生物 互补DNA 单细胞测序 核糖核酸酶P 单元格排序 基因组文库 单细胞分析 计算生物学 深度测序 Illumina染料测序 cDNA文库 分子生物学 遗传学 DNA测序 基因 T细胞 核糖核酸 细胞 基因组 外显子组测序 流式细胞术 肽序列 突变 免疫系统
作者
Shuqiang Li,Jing Sun,Rosa Lundbye Allesøe,Krishnalekha Datta,Yun Bao,Giacomo Oliveira,Juliet Forman,Roger Jin,Lars Rønn Olsen,Derin B. Keskin,Sachet A. Shukla,Catherine J. Wu,Kenneth J. Livak
出处
期刊:Nature Protocols [Springer Nature]
卷期号:14 (8): 2571-2594 被引量:24
标识
DOI:10.1038/s41596-019-0195-x
摘要

RNase H–dependent PCR-enabled T-cell receptor sequencing (rhTCRseq) can be used to determine paired alpha/beta T-cell receptor (TCR) clonotypes in single cells or perform alpha and beta TCR repertoire analysis in bulk RNA samples. With the enhanced specificity of RNase H–dependent PCR (rhPCR), it achieves TCR-specific amplification and addition of dual-index barcodes in a single PCR step. For single cells, the protocol includes sorting of single cells into plates, generation of cDNA libraries, a TCR-specific amplification step, a second PCR on pooled sample to generate a sequencing library, and sequencing. In the bulk method, sorting and cDNA library steps are replaced with a reverse-transcriptase (RT) reaction that adds a unique molecular identifier (UMI) to each cDNA molecule to improve the accuracy of repertoire-frequency measurements. Compared to other methods for TCR sequencing, rhTCRseq has a streamlined workflow and the ability to analyze single cells in 384-well plates. Compared to TCR reconstruction from single-cell transcriptome sequencing data, it improves the success rate for obtaining paired alpha/beta information and ensures recovery of complete complementarity-determining region 3 (CDR3) sequences, a prerequisite for cloning/expression of discovered TCRs. Although it has lower throughput than droplet-based methods, rhTCRseq is well-suited to analysis of small sorted populations, especially when analysis of 96 or 384 single cells is sufficient to identify predominant T-cell clones. For single cells, sorting typically requires 2–4 h and can be performed days, or even months, before library construction and data processing, which takes ~4 d; the bulk RNA protocol takes ~3 d. Here, the authors describe rhTCRseq, RNase H–dependent PCR-enabled TCR sequencing, for repertoire analysis from bulk RNA samples or single-cell profiling.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
shaojie完成签到 ,获得积分10
2秒前
晓彤发布了新的文献求助10
2秒前
4秒前
Singularity应助科研通管家采纳,获得20
5秒前
Jasper应助科研通管家采纳,获得10
5秒前
Singularity应助科研通管家采纳,获得10
5秒前
彭于晏应助难摧采纳,获得10
5秒前
8秒前
8R60d8应助Fx采纳,获得10
8秒前
JimmyFun完成签到,获得积分20
9秒前
浅尝离白应助Jeannie采纳,获得30
10秒前
22222发布了新的文献求助30
11秒前
kmzzy完成签到 ,获得积分10
12秒前
12秒前
悦耳秋珊发布了新的文献求助10
15秒前
卜念完成签到,获得积分10
16秒前
16秒前
烟花应助年轻的从梦采纳,获得10
17秒前
18秒前
19秒前
Masque关注了科研通微信公众号
19秒前
IAMXC发布了新的文献求助10
22秒前
22秒前
wenlin发布了新的文献求助10
22秒前
7777135发布了新的文献求助10
22秒前
22秒前
一个正经人完成签到,获得积分10
23秒前
Taylor发布了新的文献求助10
24秒前
25秒前
25秒前
tzj完成签到,获得积分10
26秒前
DT发布了新的文献求助10
27秒前
毛豆爸爸应助dongxiaomai采纳,获得20
28秒前
28秒前
LiangRen发布了新的文献求助10
29秒前
wenlin完成签到,获得积分10
31秒前
31秒前
天天快乐应助DT采纳,获得10
35秒前
35秒前
张非凡完成签到 ,获得积分10
36秒前
高分求助中
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Chen Hansheng: China’s Last Romantic Revolutionary 500
宽禁带半导体紫外光电探测器 388
COSMETIC DERMATOLOGY & SKINCARE PRACTICE 388
Case Research: The Case Writing Process 300
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3142116
求助须知:如何正确求助?哪些是违规求助? 2793077
关于积分的说明 7805362
捐赠科研通 2449427
什么是DOI,文献DOI怎么找? 1303232
科研通“疑难数据库(出版商)”最低求助积分说明 626807
版权声明 601291