Kenneth A. Matreyek

The paper identifies novel leucine-associated reduction in protein abundance linked to 2A-like peptides from eukaryotes using a high-throughput fluorescent reporter tool.

This study identifies plasma protein biomarkers and mechanistic pathways in Parkinson's disease using deep proteomics and functional genomics.

This study creates a proteome-wide gain-of-function atlas to map chemotherapy responses and identifies drug combinations to overcome resistance.

The paper functionally characterizes 706 STIM1 EF-hand variants using overexpression fitness costs in human cells, revealing structural and functional constraints and implications for disease.

The paper uses Kozak sequence libraries to modulate protein abundance and function, showing their impact on viral infection rates and identifying disease-associated variants.

The paper uses deep mutational scanning to assess the functional impact of INSR variants, identifying clinically relevant function scores and potential gain-of-function variants.

The paper uses a pseudotyped virus infection assay to assess how SARS-CoV-2 variants interact with ACE2 receptor variants across species, revealing structural and compatibility shifts.

This study maps the functional effects of thousands of KCNE1 variants using high-throughput methods, identifying loss-of-function and loss-of-surface expression variants and showing concordance with electrophysiological and computational data.

The paper measures the effects of VKOR variants on abundance and activity in human cells, revealing its topology, active site, and the impact of human variants.

This paper introduces a high-throughput method to screen KCNH2 variants for trafficking defects, validating it with multiple assays and showing its utility for identifying loss-of-function variants.

The paper performs a deep mutational scan of SCN5A variants to assess their functional impact, identifying 40 gain and 33 loss of function variants with high accuracy.

The paper identifies 1,103 deleterious NUDT15 variants using functional assays, improving pharmacogenetics-guided thiopurine treatment by accurately predicting toxicity risk alleles.

This paper introduces VAMP-seq, a method to assess the abundance of protein variants, and identifies pathogenic variants in PTEN and TPMT.

The paper identifies a major issue with CRISPR-based single cell screens due to guide-barcode swapping and presents an optimized method to improve accuracy.