Iryna Zabaikina

This study models gene expression variability in single cells and growing populations with feedback regulation, finding analytical solutions for protein concentration distributions and quantifying population growth parameters.

The paper models how protein sequestration affects gene expression noise, showing that sequestration cooperativity and kinetics alter the distribution of free protein.

The paper shows that noise in gene expression can differ between single-cell and population perspectives, with population-level noise being higher in some cases due to cell cycle dynamics and feedback loops.

This study analyzes bursty protein production in single cells and expanding populations using a Markovian model with feedback, showing differences in distribution patterns between single-cell and population-level dynamics.

The paper models a feedback mechanism between protein concentration and cell volume in a growing population, finding an exact distribution and analyzing its effects on ergodicity and growth.

The paper analyzes how protein expression-growth coupling amplifies stochasticity in gene expression and quantifies the resulting noise and skewness in protein concentration.

The paper analyzes optimal bang-bang feedback for bursty gene expression to minimize deviation from a target protein concentration.