Understanding the physical underpinnings of dynamic intracellular organization remains central to elucidating spatial regulation in cells. Here, we present a comprehensive experimental and theoretical study of the Min protein system in Escherichia coli, revealing how robust and resource-optimal dynamic pattern formation underpins accurate division site selection. Using engineered strains with tunable expression of MinD and MinE, we construct an in vivo phase diagram of Min oscillations and uncover that pattern formation persists over a broad range of protein concentrations and physiological growth states.
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This lecture explores the fundamental principles and advanced concepts of nonequilibrium field theories and stochastic dynamics. The course focuses on stochastic processes in particle and field systems, emphasizing mathematical formalisms such as Langevin equations, Fokker-Planck equations, and path integrals. Additionally, we will discuss applications in soft matter physics, active matter, and non-equilibrium statistical mechanics.
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