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• W4361011315 abstract "Chimeric antigen receptors (CAR) are generated by linking extracellular antigen recognition domains with one or more intracellular signaling domains derived from the T-cell receptor complex or various co-stimulatory receptors. The choice and relative positioning of signaling domains help to determine chimeric antigen receptors T-cell activity and fate in vivo. While prior studies have focused on optimizing signaling power through combinatorial investigation of native intracellular signaling domains in modular fashion, few have investigated the prospect of sequence engineering within domains. Here, we sought to develop a novel in situ screening method that could permit deployment of directed evolution approaches to identify intracellular domain variants that drive selective induction of transcription factors. To accomplish this goal, we evaluated a screening approach based on the activation of a human NF-κB and NFAT reporter T-cell line for the isolation of mutations that directly impact T cell activation in vitro. As a proof-of-concept, a model library of chimeric antigen receptors signaling domain variants was constructed and used to demonstrate the ability to discern amongst chimeric antigen receptors containing different co-stimulatory domains. A rare, higher-signaling variant with frequency as low as 1 in 1000 could be identified in a high throughput setting. Collectively, this work highlights both prospects and limitations of novel mammalian display methods for chimeric antigen receptors signaling domain discovery and points to potential strategies for future chimeric antigen receptors development." @default.
• W4361011315 created "2023-03-30" @default.
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• W4361011315 date "2023-03-27" @default.
• W4361011315 modified "2023-10-16" @default.
• W4361011315 title "Toward high-throughput engineering techniques for improving CAR intracellular signaling domains" @default.
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• W4361011315 doi "https://doi.org/10.3389/fbioe.2023.1101122" @default.
• W4361011315 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37051270" @default.
• W4361011315 hasPublicationYear "2023" @default.
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