Complete multi-chain adaptome amplification from whole blood and PBMC via novel dam-PCR technology

放大器 底漆(化妆品) 生物 T细胞受体 核糖核酸 免疫系统 剧目 Jurkat细胞 计算生物学 断点群集区域 多路复用 聚合酶链反应 分子生物学 T细胞 受体 遗传学 基因 化学 物理 有机化学 声学
作者
Mollye Depinet,Wenjing Pan,Xiaohong Hou,Brittany Brown,Mary Eisenhower,Daniel Weber,Miranda Byrne‐Steele,Jian Han
出处
期刊:Journal of Immunology [American Association of Immunologists]
卷期号:204 (1_Supplement): 159.57-159.57
标识
DOI:10.4049/jimmunol.204.supp.159.57
摘要

Abstract Profiling the immune repertoire through NGS allows detailed, sequence-specific insight into the adaptive immune response. One of the key challenges during immune receptor amplification is the formation of dimers, which can compete with the immune amplicons of interest during library preparation. Therefore, we developed a novel PCR technique, dimer-avoided multiplex PCR (dam-PCR), that effectively avoids primer dimer formation and allows for the all-in-one qualitative amplification of all BCR and TCR receptors in a single, quantitative reaction. Here, we present this technology’s capabilities of bias-free immune repertoire amplification, even for low frequency CDR3s. First, we demonstrate the ability of this method to accurately detect a Jurkat cell line that was spiked into pre-screened sorted donor CD4+ cells at 1%, 0.1%, 0.01%, 0.001%, and 0.0001%. RNA from each spike-in percentage was extracted and amplified in duplicate using our standard amplification protocol to assess repeatability of CDR3 discovery between replicates, as well as establish the limits of detection and quantitation. Then, we demonstrate the method’s ability to amplify a synthetic repertoire, created by spiking RNA from two individuals of known repertoire into each other at 75%, 50%, and 25%. The mixed RNA, as well as pure RNA from each individual, was then amplified to assess correlation between the predicted repertoire and amplified repertoire at each spike-in percentage. For both the Jurkat cell level spike-in test, as well as the RNA level spike-in test, the amplified repertoire was successfully predicted at an R2 value of > 0.99. This single reaction method will allow for a cost effective, all-inclusive, and quantitative analysis of immune repertoires.

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