Luca Ciandrini

The paper shows that population growth slows sublinearly with density in most species, challenging the resource-depletion model and suggesting other inhibitory processes are at play.

This study uses a thermodynamic model to show how enzymatic reactions regulate biomolecular condensates by coupling reaction kinetics to local molecular environments, revealing two general principles.

The paper develops a mechanistic model of bacterial growth that incorporates amino acid pools, ppGpp sensing, and transcriptional regulation, showing oscillatory dynamics during environmental changes.

The paper constructs a quantitative model of biosynthesis to explain how mRNA levels, ribosomes, and RNA polymerase influence cell growth, and validates it against experimental observations in yeast and E. coli.

The paper shows that protein degradation balances ribosome allocation at slow growth, maintaining active ribosomes even as growth rate diminishes.

This paper presents systematic and automated frameworks for implementing robust history-dependent genetic programs in cellular populations.

The paper develops a method to infer translation elongation kinetics from ribosome profiling data and finds ribosomal collisions occur at many sites along mRNAs in yeast.

This study proposes transcript length as a key determinant of translation efficiency through a physical model of ribosome kinetics and mRNA circularisation.