免疫分型
T细胞受体
剧目
免疫系统
受体
免疫受体
免疫学
生物
T细胞
抗原
遗传学
物理
声学
作者
Alex Chenchik,Tianbing Liu,Mikhail Makhanov,Dongfang Hu,Lester Kobzik,Khadija Ghias,Paul Diehl
出处
期刊:Journal of Immunology
[American Association of Immunologists]
日期:2024-05-01
卷期号:212 (1_Supplement): 1529_5870-1529_5870
标识
DOI:10.4049/jimmunol.212.supp.1529.5870
摘要
Abstract This study describes an efficient immune profiling method by FACS-sorting single cells in a 96-well plate to assess clonotype repertoire diversity, paired-chain information, and cell phenotypes in a single, multiplex RT-PCR-based assay without the use of any specialized equipment. It is a cost-effective alternative to conventional single-cell technologies such as microwell arrays or droplet microfluidics. The 96-well plate contains primers for either T-cell receptor (TCR) / or TCR / chains, together with primers for 30 key T-cell markers. T cells from PBMCs are sorted in a single-cell-per-well format. We conduct RT-PCR library prep using the DriverMapTM Adaptive Immune Receptor (AIR) Repertoire Profiling Assay and sequence the CDR3 region. The results show clonotype frequencies, chain pairing details for / and / chains, and T-cell subtype classifications based on gene expression profiling. This enables in-depth analysis of TCR gene rearrangements at the single-cell level, enhancing understanding of T cell development, proliferation, and clonality, which are important in studying cancer, immunodeficiencies, and autoimmune disorders. Additionally, we can effectively identify and characterize γδ T cells by integrating single-cell TCR sequencing with RNA sequencing data, potentially useful in the development of γδ cancer immunotherapies. Overall, this method provides an efficient way to simultaneously analyze clonotypes and immunophenotypes in a single assay.
科研通智能强力驱动
Strongly Powered by AbleSci AI