Nucleic Acids ResearchMolecular BiologyPeer-reviewed journal article
ONE-STEP tagging: a versatile method for rapid site-specific integration by simultaneous reagent delivery
Valentina MiglioriiD, Michaela Bianka BruntraegeriD, Ivan S. GyuleviD, Florence LichouiD, Thomas BurgoldiD, Daniel P. GittermaniD, Sho IwamaiD, Andrew L. TrinhiD, Sam J. WasheriD, Carla P. JonesiD, Gosia TrynkaiD, Andrew Roger BassettiD
Abstract
We present a novel, versatile genome editing method termed ONE-STEP tagging, which combines CRISPR-Cas9-mediated targeting with Bxb1 integrase-based site-specific integration for efficient, precise, and scalable protein tagging. Applied in hiPSCs, cancer cells, and primary T cells, this system enables rapid generation of endogenously tagged cell lines. By enhancing the nuclear localization signal (NLS) of the catalytically superior eeBxb1 integrase and co-delivering a DNA-PK inhibitor (AZD-7648), we achieved up to [~]90% integration efficiency at the ACTR10 locus. ONE-STEP tagging is robust across diverse loci and cell types and supports large DNA cargo integration, with efficiencies reaching 16.6% for a 14.4 kb construct. The method also enables multiplexed tagging of multiple proteins within the same cell and allows simultaneous CRISPR-based editing at secondary loci, such as gene knockouts or homology-directed repair (HDR) insertions. Importantly, we demonstrate successful application in primary T cells by targeting the T cell receptor (TCR) locus while simultaneously knocking out B2M, a key step toward generating immune-evasive, off-the-shelf CAR-T cells. Additionally, we introduce a dual-cassette version of the method compatible with universal donor plasmids, allowing use of entirely off-the-shelf reagents. Together, these advances establish ONE-STEP tagging as a powerful tool for both basic and therapeutic genome engineering.
- organism: human
- assay: CRISPR screen
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 8
- FWCI
- 2.39
- Field percentile
- top 10%
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