重编程
计算生物学
生物
鉴定(生物学)
模块化设计
抗原
免疫系统
基因组
计算机科学
病毒学
细胞
遗传学
基因
植物
操作系统
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
标识
DOI:10.1101/2021.09.18.460796
摘要
Abstract 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 immune receptor repertoires and the landscape of potential antigens. To address this, we present RAPTR ( R eceptor- A ntigen P airing by T argeted R etroviruses). RAPTR 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 cells allows readout of both antigen and receptor identities via single-cell sequencing. The resulting system is modular, scalable, and compatible with any cell type, making it easily implemented. These techniques provide a suite of new tools for targeted viral entry, molecular engineering, and interaction screens with broad potential applications.
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