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Systematic comparison and base-editing-mediated directed protein evolution and functional screening yield superior auxin-inducible degron technology [1]

GSE300296 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2025/06/26 Platform GPL34295
Summary
Biological mechanisms are inherently dynamic, requiring precise and rapid manipulations for effective characterization. Traditional genetic manipulations operate on long timescales, making them unsuitable for studying dynamic processes or characterizing essential genes, where chronic depletion can cause cell death. We compared five inducible protein degradation systems—dTAG, HaloPROTAC, IKZF3, and two auxin-inducible degrons (AID) using OsTIR1 and AtFB2—evaluating degradation efficiency, basal degradation, target recovery after ligand washout, and ligand impact. This analysis identified OsTIR1-based AID 2.0 as the most robust system. However, AID 2.0's higher degradation efficiency came with target-specific basal degradation and slower recovery rates. To address these limitations, we employed base-editing-mediated mutagenesis followed by several rounds of functional selection and screening. This directed protein evolution generated several gain-of-function OsTIR1 variants, including S210A, that significantly enhanced the overall degron efficiency. The resulting degron system, named AID 2.1, maintains effective target protein depletion with minimal basal degradation and faster recovery after ligand washout, enabling characterization and rescue experiments for essential genes. Our comparative assessment and directed evolution approach provide a reference dataset and improved degron technology for studying gene functions in dynamic biological contexts.
Published in
Systematic comparison and base-editing-mediated directed protein evolution and functional screening yield superior auxin-inducible degron technology
Xing D, Bai T, Neyisci O et al. · Nature communications 2025 · PMID 40681502 · doi:10.1038/s41467-025-61848-1
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Also filed as BioProject PRJNA1280047 and SRA study SRP593384. Searching any of these in the dataset finder brings you back here.

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