Stochasticity in Genetic Networks

Period: 2012-2015

Genetically similar cells can follow different trajectories, and this microscopic stochasticity is central to development, differentiation, and disease.

This line combines single-cell sequencing and dynamic modeling to characterize how noise, timing, and regulatory interactions shape cell-state transitions across developmental processes.

Selected Publications

  1. Tunable Stochastic Pulsing in the Escherichia coli Multiple Antibiotic Resistance Network from Interlinked Positive and Negative Feedback Loops

    J Garcia-Bernardo, MJ Dunlop (2013). PLoS Computational Biology.

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  2. Noise and low-level dynamics can coordinate multicomponent bet hedging mechanisms

    J Garcia-Bernardo, MJ Dunlop (2015). Biophysical Journal.

  3. Phenotypic diversity using bimodal and unimodal expression of stress response proteins

    J Garcia-Bernardo, MJ Dunlop (2016). Biophysical Journal.

  4. Evolving modular genetic regulatory networks with a recursive, top-down approach

    J Garcia-Bernardo, MJ Eppstein (2015). Systems and Synthetic Biology.