Edda Klipp

The paper investigates how the branched-chain amino acid (BCAA) pathway is regulated during the diauxic shift in yeast and its impact on carbon metabolism.

The paper investigates how changing light intensities during cold acclimation affect carbohydrate metabolism in Arabidopsis thaliana using experimental and computational methods.

This study shows that constitutively active RAS in fission yeast prolongs Cdc42 signaling while reducing MAPK signaling through competitive binding and feedback mechanisms.

This paper introduces a Thermodynamically Explicit kinetic framework for dynamic metabolic modeling, validated on glycolysis, offering a scalable tool for genome-wide applications.

Memote, open-source Python software, runs a community-maintained, partly scored test suite (consistency, biomass, annotations, optional experimental data) on SBML-encoded genome-scale metabolic models, once or through continuous integration.

The paper develops a single-cell growth model for yeast that links osmolyte dynamics to growth rate and cell size, showing osmolyte uptake primarily governs these traits.

The paper introduces a Bayesian method to estimate protein concentrations and phosphorylation site occupancy ratios from mass spectrometry data, applied to study PRKAR1A-RET gene fusion effects.

The paper presents a genome-scale mechanistic model of the cell division cycle in yeast, validated through parameter-free methods and enabling genotype-to-phenotype predictions.

The paper quantifies how G1 cyclins affect cell cycle phase durations in yeast through transcriptome-wide analysis under genetic and stress perturbations.

The paper shows that constitutively active Ras1.G17V in S. pombe causes prolonged Cdc42 activation but only transient MAPKSpk1 activation, with a model explaining the dynamics.

The paper analyzes how spatial factors affect signaling cascades in cells, showing that membrane-cytosolic interface dynamics and cell geometry significantly influence signal transduction.

The paper characterizes two propionate catabolism pathways in mycobacteria, showing the methylcitrate pathway's high capacity and the methylmalonyl pathway's detoxification role.

This paper estimates immune cell content in tumour tissue using single-cell RNA-seq data and demonstrates the importance of tumour-derived reference gene expression profiles for accurate deconvolution.