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Scale-dependent irreversibility in living matter

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arxiv 2107.05701 v1 pith:LTLXBLRU submitted 2021-07-12 physics.bio-ph cond-mat.stat-mech

classification physics.bio-phcond-mat.stat-mech
keywords irreversibilitynonequilibriummetricmultiscaledissipativetimescalesactivityactomyosin
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A defining feature of living matter is the ability to harness energy to self-organize multiscale structures whose functions are facilitated by irreversible nonequilibrium dynamics. While progress has been made in elucidating the underlying principles, what remains unclear is the role that thermodynamics plays in shaping these structures and their ensuing functions. Here, we unravel how a fundamental thermodynamic connection between the physical energy dissipation sustaining a nonequilibrium system and a measure of statistical irreversibility (arrow of time), can provide quantitative insight into the mechanisms of nonequilibrium activity across scales. Specifically, we introduce a multiscale irreversibility metric and demonstrate how it can be used to extract model-independent estimates of dissipative timescales. Using this metric, we measure the dissipation timescale of a multiscale cellular structure - the actomyosin cortex - and further observe that the irreversibility metric maintains a monotonic relationship with the underlying biological nonequilibrium activity. Additionally, the irreversibility metric can detect shifts in the dissipative timescales when we induce spatiotemporal patterns of biochemical signaling proteins upstream of actomyosin activation. Our experimental measurements are complemented by a theoretical analysis of a generic class of nonequilibrium dynamics, elucidating how dissipative timescales manifest in multiscale irreversibility.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Control across scales: signals, information, and adaptive biological mechanical function

    cond-mat.soft 2025-09 unverdicted novelty 3.0 of 10

    The paper argues that feedforward, feedback, and adaptive control, together with information theory, provide a unifying quantitative framework for biological mechanical function across scales.

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