Base-editing mutagenesis maps alleles to tune human T cell functions

碱基编辑诱变技术通过绘制等位基因图谱来调节人类T细胞功能

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作者:Ralf Schmidt #,Carl C Ward #,Rama Dajani,Zev Armour-Garb,Mineto Ota,Vincent Allain,Rosmely Hernandez,Madeline Layeghi,Galen Xing,Laine Goudy,Dmytro Dorovskyi,Charlotte Wang,Yan Yi Chen,Chun Jimmie Ye,Brian R Shy,Luke A Gilbert,Justin Eyquem,Jonathan K Pritchard,Stacie E Dodgson,Alexander Marson

Abstract

CRISPR-enabled screening is a powerful tool for the discovery of genes that control T cell function and has nominated candidate targets for immunotherapies1-6. However, new approaches are required to probe specific nucleotide sequences within key genes. Systematic mutagenesis in primary human T cells could reveal alleles that tune specific phenotypes. DNA base editors are powerful tools for introducing targeted mutations with high efficiency7,8. Here we develop a large-scale base-editing mutagenesis platform with the goal of pinpointing nucleotides that encode amino acid residues that tune primary human T cell activation responses. We generated a library of around 117,000 single guide RNA molecules targeting base editors to protein-coding sites across 385 genes implicated in T cell function and systematically identified protein domains and specific amino acid residues that regulate T cell activation and cytokine production. We found a broad spectrum of alleles with variants encoding critical residues in proteins including PIK3CD, VAV1, LCP2, PLCG1 and DGKZ, including both gain-of-function and loss-of-function mutations. We validated the functional effects of many alleles and further demonstrated that base-editing hits could positively and negatively tune T cell cytotoxic function. Finally, higher-resolution screening using a base editor with relaxed protospacer-adjacent motif requirements9 (NG versus NGG) revealed specific structural domains and protein-protein interaction sites that can be targeted to tune T cell functions. Base-editing screens in primary immune cells thus provide biochemical insights with the potential to accelerate immunotherapy design.

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