J. Pauwels

This paper introduces FAEVEr, a method for enriching extracellular vesicles for proteomics, and shows it effectively isolates EVs from complex samples.

The paper identifies a common toxic mechanism in positively charged peptides across species and develops a machine learning tool to detect it.

This study shows that mutating SME1 and Sm core assembly proteins in Arabidopsis enhances oxidative stress resilience by altering pre-mRNA splicing and activating a molecular stress response.

The paper uses CETSA MS to identify novel crosstalk between brassinosteroid and auxin signaling in Arabidopsis by analyzing the thermal and phospho-proteomes of the GSK3 inhibitor bikinin.

This paper introduces a method to accurately quantify MS-ready peptides using a microfluidic UV/visible spectrophotometer, improving LC-MS/MS and protein quantification data consistency.

This paper introduces a long micro pillar array column for proteome profiling, showing improved protein identification and peak resolution compared to conventional columns.

The paper introduces a controlled BioID design for endogenous p53 using CRISPR/Cas9 and base editors, showing improved proteomic results over ectopic expression.