Universality of biochemical feedback and its application to immune cells

Abstract

We map a class of well-mixed stochastic models of biochemical feedback in steady state to the mean-field Ising model near the critical point. The mapping provides an effective temperature, magnetic field, order parameter, and heat capacity that can be extracted from biological data without fitting or knowledge of the underlying molecular details. We demonstrate this procedure on fluorescence data from mouse T cells, which reveals distinctions between how the cells respond to different drugs. We also show that the heat capacity allows inference of absolute molecule number from fluorescence intensity. We explain this result in terms of the underlying fluctuations and demonstrate the generality of our work.

11 pages, 7 figures

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Cited by in corpus (11)

• Colloquium: Criticality and dynamical scaling in living systems
• Chemical Boltzmann Machines
• Kibble-Zurek scaling of the irreversible entropy production
• Bifurcation and Criticality
• Cell-to-cell information at a feedback-induced bifurcation point
• Biochemical feedback and its application to immune cells II: dynamics and critical slowing down
• Temporal signals drive the emergence of multicellular information networks
• Multicellular sensing at a feedback-induced critical point
• Emergent phenomena in living systems: a statistical mechanical perspective
• Tipping the Balance: a criticality perspective
• Universal features of epidemic and vaccine models