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Massively parallel profiling of the intracellular activity, interactions, and druggability of protein variants using LABEL-seq

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NIAID Data Ecosystem2026-05-02 收录
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Multiplexed assays of variant effect are powerful tools for assessing the impact of protein sequence variation. Here, we describe LAbeling with Barcodes and Enrichment for biochemicaL analysis by sequencing (LABEL-seq), a platform for massively parallel profiling of thousands of pooled protein variants in cultured human cells. LABEL-seq directly measures protein properties and functions at scale using simple affinity enrichments by leveraging the intracellular self-assembly of an RNA binding domain with a highly stable RNA barcode. Variant effects are quantified by affinity enrichment of RNA binding domain-protein fusions based on a biochemical property or function, followed by high throughput-sequencing of co-enriched barcodes. Measurement of ~20,000 variant effects for ~1,600 BRaf variants revealed that variation at positions that are frequently mutated in cancer minimally impacted folding and intracellular abundance but could dramatically alter activity, protein-protein interactions, and druggability. Integrative analysis identified networks of positions with similar biochemical roles and enabled predictive modeling of variant effects on cell proliferation and small molecule-promoted degradation. LABEL-seq provides a scalable approach for the direct measurement of multiple biochemical effects of protein variants in their native cellular context, yielding insight into protein function, disease mechanisms, and druggability.

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2024-05-10
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