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]
日期:2019-07-24
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.
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