Istvan T. Kleijn

This study identifies an ISR-independent role of GCN2 in preventing excessive ribosome biogenesis and mRNA translation, with implications for cancer therapy.

This study uses approximate Bayesian computation to infer Waddington landscapes from single cell data by evaluating distance measures and parameter sensitivity.

This paper develops a coarse-grained resource allocation model to explain cellular growth laws and resource allocation strategies in unicellular microbes.

This paper investigates how cell size and geometry in fission yeast vary under different growth conditions and finds that cell volume and growth rate follow a linear scaling under nitrogen and carbon titration.

This study investigates how growth rate and nutrient-specific factors influence gene expression in fission yeast, revealing coordinated and condition-specific regulation of metabolic enzymes.

GpABC is a Julia package that implements ABC methods with Gaussian process emulation for parameter inference and model selection in systems biology models.

The paper develops a mathematical model of bacterial gene expression and growth, showing how expression noise propagates through metabolic and growth processes and agrees with experimental data.