T细胞受体
配对
计算生物学
T细胞
生物
遗传学
物理
免疫系统
超导电性
量子力学
作者
Bryan Howie,Anna Sherwood,Ashley D. Berkebile,Jan Berka,Ryan Emerson,David Williamson,Ilan R. Kirsch,Marissa Vignali,Mark J. Rieder,Christopher S. Carlson,Harlan Robins
出处
期刊:Science Translational Medicine
[American Association for the Advancement of Science (AAAS)]
日期:2015-08-19
卷期号:7 (301)
被引量:196
标识
DOI:10.1126/scitranslmed.aac5624
摘要
The T cell receptor (TCR) protein is a heterodimer composed of an α chain and a β chain. TCR genes undergo somatic DNA rearrangements to generate the diversity of T cell binding specificities needed for effective immunity. Recently, high-throughput immunosequencing methods have been developed to profile the TCR α (TCRA) and TCR β (TCRB) repertoires. However, these methods cannot determine which TCRA and TCRB chains combine to form a specific TCR, which is essential for many functional and therapeutic applications. We describe and validate a method called pairSEQ, which can leverage the diversity of TCR sequences to accurately pair hundreds of thousands of TCRA and TCRB sequences in a single experiment. Our TCR pairing method uses standard laboratory consumables and equipment without the need for single-cell technologies. We show that pairSEQ can be applied to T cells from both blood and solid tissues, such as tumors.
科研通智能强力驱动
Strongly Powered by AbleSci AI