Molecular TherapyBioengineeringPeer-reviewed journal article
A Singular Base Editing Platform for Polyfunctional Multiplex Engineering of Immune Cells
Joseph G. SkeateiD, Nicholas J. SlipekiD, Walker S. LahriD, Shambojit RoyiD, Bryce J. WickiD, Bibekananda KariD, Jae-Woong Chang, Erin M. Stelljes, Alexandria K. Gilkey, Prateek P. Thenge, Miechaleen D. Diers, Joshua B. KruegeriD, Ethan M. Niemeyer, Cara-lin LonetreeiD, Mitchell G. KluesneriD, Jason B BelliD, Kendell Clement, Paolo P. ProvenzanoiD, Branden S. MoriarityiD, Beau R. WebberiD
Abstract
Current methods to engineer antigen-specific receptors rely on randomly integrating vectors or double-strand break induced targeted integration, both of which pose safety risks. To implement an all-in-one tool for multiplex knockout (KO) and knock in (KI), we expand the use of cytosine and adenine base editor (ABE) nickase activity to stimulate homology-directed repair (HDR) and insert clinically relevant chimeric antigen receptors (CARs) into specific loci. Through a novel sgRNA design strategy and a recombinant adeno-associated virus (rAAV) delivered DNA template, we enhanced the efficiency of ABE8e-stimulated HDR in human T cells. By combining KI of CD19-, CD33-, or mesothelin-targeting CARs with >95% quadplex gene KO (B2M/CD3{varepsilon}/PDCD1/CISH), we achieve single-step generation of highly functional off-the-shelf CAR T cell products with enhanced function. Importantly, we found no detectable translocations or significant off-target edits and demonstrated efficacy against multiple cancer lines, and a suppressive 3D spheroid culture model. This efficient engineering process of Iterative Nicking for Synchronous Engineered Reprogramming of T cells (INSERT) establishes a safe, simplified platform for advanced therapeutic CAR T engineering.
- organism: human
- assay: CRISPR screen
- research focus: host-pathogen & immune response
- research focus: cell type annotation
- research focus: gene regulatory network inference
- approach: experimental assay
- approach: genetic perturbation / CRISPR
- Citations
- 3
- FWCI
- 4.13
- Field percentile
- top 9%
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