Andreas Milias‐Argeitis

The paper develops a computational method to deconvolve cell cycle-dependent protein dynamics from bulk proteomics data in budding yeast and identifies 563 proteins with such dynamics.

This paper develops an optogenetic tool to reversibly control G1 progression in budding yeast and shows its utility in studying cell cycle dynamics.

This study quantifies how OsTIR1F74G expression affects basal and auxin-induced degradation rates of AID-tagged proteins in yeast, showing dependencies on expression levels and auxin type.

The paper introduces GMGTS, a method that accelerates mixed-effects inference for biochemical networks by replacing numerical integration with gradient matching, improving computational efficiency.

This study identifies PKA and TORC1 phosphorylation sites on Sfp1 and shows how these pathways regulate its localization and function in yeast ribosome biogenesis.

The paper shows that TORC1 and PKA activity related to ribosome biogenesis oscillates with the budding yeast cell cycle under constant conditions.

This paper develops a photo-switchable isocitrate dehydrogenase in yeast to dynamically control citric acid cycle flux using optogenetics.

This paper introduces an unbiased method for metabolic flux inference by integrating thermodynamic constraints and 13C labeling data, revealing novel flux patterns in budding yeast.

This paper introduces an optogenetic platform for single-cell transcription control, achieving mRNA tunability and reduced variability in yeast cells.