计算生物学
重编程
生物
抗原
破译
嵌合抗原受体
病毒学
细胞生物学
免疫系统
T细胞
细胞
遗传学
作者
Connor S. Dobson,Anna N. Reich,Stephanie Gaglione,Blake E. Smith,Ellen J. Kim,Jiayi Dong,Larance Ronsard,Vintus Okonkwo,Daniel Lingwood,Michael Dougan,Stephanie K. Dougan,Michael E. Birnbaum
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2022-04-01
卷期号:19 (4): 449-460
被引量:65
标识
DOI:10.1038/s41592-022-01436-z
摘要
Deciphering immune recognition is critical for understanding a broad range of diseases and for the development of effective vaccines and immunotherapies. Efforts to do so are limited by a lack of technologies capable of simultaneously capturing the complexity of adaptive immunoreceptor repertoires and the landscape of potential antigens. To address this, we present receptor–antigen pairing by targeted retroviruses, which combines viral pseudotyping and molecular engineering approaches to enable one-pot library-on-library interaction screens by displaying antigens on the surface of lentiviruses and encoding their identity in the viral genome. Antigen-specific viral infection of cell lines expressing human T or B cell receptors allows readout of both antigen and receptor identities via single-cell sequencing. The resulting system is modular, scalable and compatible with any cell type. These techniques provide a suite of tools for targeted viral entry, molecular engineering and interaction screens with broad potential applications. RAPTR, a lentivirus surface display-based library-on-library screening method to decipher antigen and immunoreceptor identities
科研通智能强力驱动
Strongly Powered by AbleSci AI