Jarrett D. Egertson

This paper introduces IMaP, a method to analyze tau proteoforms at the single-molecule level, revealing ordered phosphorylation patterns and disease-specific modifications.

This paper introduces a theoretical framework called PrISM for proteome-scale single-molecule protein identification using multi-affinity reagents and demonstrates its high coverage and dynamic range in simulations.

The paper shows that protein timecourses in yeast can be predicted from mRNA trajectories using a gene-specific model, revealing strain-specific differences in post-translational processes.

Specter improves DIA proteomics by directly deconvoluting spectra using linear algebra, enhancing sensitivity for similar peptides and challenging cases.

The paper creates a proteomic resource profiling 90 drugs in six cell lines, revealing cell-specific responses and enabling integration with transcriptional data to identify therapeutic opportunities.