High throughput sequencing of T-cell receptor repertoire using dry blood spots

多路复用 T细胞受体 计算生物学 干血斑 剧目 全血 血液取样 干血 外周血 生物 免疫学 免疫系统 生物信息学 T细胞 医学 遗传学 内科学 化学 物理 色谱法 声学
作者
Shang‐Gin Wu,Wenjing Pan,Hongna Liu,Miranda L. Byrne-Steele,Brittany Brown,Mollye Depinet,Xiaohong Hou,Jian Han,Song Li
出处
期刊:Journal of Translational Medicine [Springer Nature]
卷期号:17 (1) 被引量:14
标识
DOI:10.1186/s12967-019-1796-4
摘要

Immunology research, particularly next generation sequencing (NGS) of the immune T-cell receptor β (TCRβ) repertoire, has advanced progression in several fields, including treatment of various cancers and autoimmune diseases. This study aimed to identify the TCR repertoires from dry blood spots (DBS), a method that will help collecting real-world data for biomarker applications. Finger-prick blood was collected onto a Whatman filter card. RNA was extracted from DBS of the filter card, and fully automated multiplex PCR was performed to generate a TCRβ chain library for next generation sequencing (NGS) analysis of unique CDR3s (uCDR3). We demonstrated that the dominant clonotypes from the DBS results recapitulated those found in whole blood. According to the statistical analysis and laboratory confirmation, 40 of 2-mm punch disks from the filter cards were enough to detect the shared top clones and have strong correlation in the uCDR3 discovery with whole blood. uCDR3 discovery was neither affected by storage temperatures (room temperature versus − 20 °C) nor storage durations (1, 14, and 28 days) when compared to whole blood. About 74–90% of top 50 uCDR3 clones of whole blood could also be detected from DBS. A low rate of clonotype sharing, 0.03–1.5%, was found among different individuals. The DBS-based TCR repertoire profiling method is minimally invasive, provides convenient sampling, and incorporates fully automated library preparation. The system is sensitive to low RNA input, and the results are highly correlated with whole blood uCDR3 discovery allowing study scale-up to better understand the relationship and mutual influences between the immune and diseases.
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