Thomas Julou

This study shows E. coli rapidly remodels its proteome during early starvation, with gene expression patterns in the first 10 hours determining long-term stress tolerance.

The paper quantifies how growth rate and protein production fluctuations contribute to gene expression noise in E. coli, finding growth rate fluctuations are largely independent and decrease with mean growth rate.

RealTrace is a Bayesian method that removes measurement noise from time-lapse microscopy data to reveal biological dynamics, showing fluctuating growth rates and gene expression in single cells.

The paper shows that growth rate affects the sensitivity of gene regulatory switches in E. coli, with experiments confirming theoretical predictions about inducer concentration thresholds.

The paper quantifies single-cell gene expression dynamics of LexA target promoters in E. coli under DNA damage, showing stochastic bursts driven by transient LexA concentration dips.

The paper shows that subpopulations of sensorless bacteria influence fitness in fluctuating environments by affecting growth lags through gene expression noise.

The paper develops a method for quantitative analysis of fluorescence flow cytometry data in bacteria and introduces an open-source tool for this purpose.

The paper refutes critical claims about their double-adder model of E. coli cell cycle control by demonstrating errors in the opposing analysis and discussing implications for cell cycle models.

This study identifies a double-adder mechanism that coordinates division and replication cycles in E. coli by measuring growth, division, and replication in single cells.

The paper quantifies transcriptional noise in E. coli across growth conditions and shows that noise is shaped by regulatory propagation from transcription factors.