Structure and function in biological hierarchies: An Ising model approach

Totafurno, John; Lumsden, Charles J.; Trainor, L. E. H.

doi:10.1016/0022-5193(80)90017-x

Cited by 15 publications

(3 citation statements)

References 15 publications

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“…Critical phenomena have been applied to a variety of important biological topics, including ion channels (2), neurons (3), protein folding (4; 5), protein phase behavior (6), lipid monolayers (7; 8), lipid bilayers (9–12), evolution (13; 14), social networks (15), and hierarchical organization (16). Many scientists have not encountered the concept of critical points since their introductory chemistry classes, when they learned that a critical point marks a specific place on the phase diagram of water.…”

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confidence: 99%

An introduction to critical points for biophysicists; observations of compositional heterogeneity in lipid membranes

Honerkamp‐Smith

Veatch

Keller

2009

Biochimica et Biophysica Acta (BBA) - Biomembranes

282

283

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Scaling laws associated with critical points have the power to greatly simplify our description of complex biophysical systems. For the general reader, we first review basic concepts and equations associated with critical phenomena for the general reader. We then apply these concepts to the specific biophysical system of lipid membranes. We recently reported that lipid membranes can contain composition fluctuations that behave in a manner consistent with the two-dimensional Ising universality class. Near the membrane’s critical point, these fluctuations are micron-sized, clearly observable by fluorescence microscopy. At higher temperatures, above the critical point, we expect to find submicron fluctuations. In separate work, we have reported that plasma membranes isolated directly from cells exhibit the same Ising behavior as model membranes do. We review other models describing submicron lateral inhomogeneity in membranes, including microemulsions, nanodomains, and mean field critical fluctuations, and we describe experimental tests that may distinguish these models.

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confidence: 99%

An introduction to critical points for biophysicists; observations of compositional heterogeneity in lipid membranes

Honerkamp‐Smith

Veatch

Keller

2009

Biochimica et Biophysica Acta (BBA) - Biomembranes

282

283

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“…Existing tools of molecular genetics and biophysics can then be deployed for loss-and gain-of-function studies of the role of stress in morphogenetic competency, to test the predictions of our model in vivo. More broadly, it may be that stress and geometric frustration [102] are a truly interdisciplinary concepts, reaching far beyond the conventional notions of psychological stress and highlighting a central symmetry across fields ranging from the computational mathematics and physics of Ising models and Hopfield networks [103,104] to the remarkable capabilities of regulative morphogenesis [5,53] and even the epigenetics of transgenerational inheritance [105][106][107]. Stress is a good candidate for a central invariant across active agents of highly diverse scale and composition.…”

Section: Discussionmentioning

confidence: 99%

Stress Sharing as Cognitive Glue for Collective Intelligences: a computational model of stress as a coordinator for morphogenesis

Shreesha,

Levin

2024

Preprint

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Individual cells have numerous competencies in physiological and metabolic spaces. However, multicellular collectives can reliably navigate anatomical morphospace towards much larger, reliable endpoints. Understanding the robustness and control properties of this process is critical for evolutionary developmental biology, bioengineering, and regenerative medicine. One mechanism that has been proposed for enabling individual cells to coordinate toward specific morphological outcomes is the sharing of stress (where stress is a physiological parameter that reflects the current amount of error in the context of a homeostatic loop). Here, we construct and analyze a multiscale agent-based model of morphogenesis in which we quantitatively examine the impact of stress sharing on the ability to reach target morphology. We found that stress sharing improves the morphogenetic efficiency of multicellular collectives; populations with stress sharing reached anatomical targets faster. Moreover, stress sharing influenced the future fate of distant cells in the multi-cellular collective, enhancing cells’ movement and their radius of influence, consistent with the hypothesis that stress sharing works to increase cohesiveness of collectives. During development, anatomical goal states could not be inferred from observation of stress states, revealing the limitations of knowledge of goals by an extern observer outside the system itself. Taken together, our analyses support an important role for stress sharing in natural and engineered systems that seek robust large-scale behaviors to emerge from the activity of their competent components.

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Section: Discussionmentioning

confidence: 99%

Stress sharing as cognitive glue for collective intelligences: A computational model of stress as a coordinator for morphogenesis

Shreesha,

Levin

2024

Biochemical and Biophysical Research Communications

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Structure and function in biological hierarchies: An Ising model approach

Cited by 15 publications

References 15 publications

An introduction to critical points for biophysicists; observations of compositional heterogeneity in lipid membranes

An introduction to critical points for biophysicists; observations of compositional heterogeneity in lipid membranes

Stress Sharing as Cognitive Glue for Collective Intelligences: a computational model of stress as a coordinator for morphogenesis

Stress sharing as cognitive glue for collective intelligences: A computational model of stress as a coordinator for morphogenesis

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