Massively parallel profiling of intracellular protein variant abundance, activity, interactions, and druggability with LABEL-seq
| dc.contributor.advisor | Maly, Dustin James | |
| dc.contributor.author | Simon, Jessica | |
| dc.date.accessioned | 2025-10-02T16:06:33Z | |
| dc.date.available | 2025-10-02T16:06:33Z | |
| dc.date.issued | 2025-10-02 | |
| dc.date.submitted | 2025 | |
| dc.description | Thesis (Ph.D.)--University of Washington, 2025 | |
| dc.description.abstract | Here we describe labeling with barcodes and enrichment for biochemical analysis by sequencing (LABEL-seq), an assay for massively parallel profiling of pooled protein variants in human cells. By leveraging the intracellular self-assembly of an RNA-binding domain (RBD) with a stable, variant-encoding RNA barcode, LABEL-seq facilitates the direct measurement of protein properties and functions using simple affinity enrichments of RBD protein fusions, 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 frequently mutated in cancer minimally impacted intracellular abundance but could dramatically alter activity, protein–protein interactions and druggability. Integrative analysis identified networks of positions with similar biochemical roles and enabled modeling of variant effects on cell proliferation and small molecule-promoted degradation. Thus, LABEL-seq enables direct measurement of multiple biochemical properties in a native cellular context, providing insights into protein function, disease mechanisms and druggability. | |
| dc.embargo.terms | Open Access | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.other | Simon_washington_0250E_28850.pdf | |
| dc.identifier.uri | https://hdl.handle.net/1773/53944 | |
| dc.language.iso | en_US | |
| dc.relation.haspart | Supplementary_Tables.xlsx; spreadsheet; Supplementary Tables 1-7. | |
| dc.rights | none | |
| dc.subject | Cancer | |
| dc.subject | Cell Signaling | |
| dc.subject | Functional Genomics | |
| dc.subject | Multiplexed Assays of Variant Effects | |
| dc.subject | Next Generation Sequencing | |
| dc.subject | Protein Science | |
| dc.subject | Molecular biology | |
| dc.subject | Chemistry | |
| dc.subject | Genetics | |
| dc.subject.other | Chemistry | |
| dc.title | Massively parallel profiling of intracellular protein variant abundance, activity, interactions, and druggability with LABEL-seq | |
| dc.type | Thesis |
