Mario Leutert

This paper characterizes IDH+ glioma stem cell cultures to model GBM biology and therapeutic response, showing reproducible survival curves and methods to track cellular heterogeneity.

The paper quantifies the fitness cost of spurious phosphorylation in yeast by expressing tyrosine kinases and analyzing phosphoproteomes, finding a strong correlation between spurious phosphorylation and decreased growth.

The paper systematically profiles protein dynamics in ale yeast during fermentation and repitching, identifying changes in ergosterol and isobutyraldehyde metabolism.

The paper maps the yeast phosphoproteome under 101 perturbations, identifying 25,000 regulated phosphosites and revealing stress response programs and regulatory networks.

The paper introduces R2-pY, a robotic method for phosphotyrosine enrichment in proteomics, achieving high efficiency and reproducibility with 96 samples processed in parallel.

This study uses multidimensional proteomics to analyze age-related changes in yeast cells, identifying molecular trajectories of aging and rejuvenation.

The paper introduces R2-P2, an automated phosphoproteomics method, and applies it to study MAPK pathway signaling in yeast, revealing phosphorylation events across multiple pathways.