Collective biological computation in metabolic economy

4open Pub Date : 2023-01-01 DOI:10.1051/fopen/2023002
D. Korosak, Sandra Postić, A. Stožer, Marjan Slak Rupnik
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Abstract

Presented with sensory challenges, living cells employ extensive noisy, fluctuating signaling and communication among themselves to compute a physiologically proper response. Using coupled stochastic oscillators model, we propose that biological computation mechanism undertaken by insulin secreting beta-cells consists of a combination of dual intracellular Ca2+ release processes to ensure multilayered exploration contributing to enhanced robustness and sensitivity. The computational output is macroscopically observed as disorder-order phase transition in a collective beta-cell response to increases in nutrient concentrations. Our own experimental data and analogies from previously described examples of biological computation suggest that the initial limited response to nutrients may be followed by an adaptive phase to expand the sensory spectrum and consolidate memory.
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代谢经济中的集体生物计算
面对感官挑战,活细胞利用大量嘈杂、波动的信号和彼此之间的通信来计算生理上适当的反应。利用耦合随机振荡模型,我们提出胰岛素分泌β细胞进行的生物计算机制包括双重细胞内Ca2+释放过程的组合,以确保多层探索,从而增强鲁棒性和灵敏度。从宏观上观察到,计算输出是在集体β细胞对营养浓度增加的反应中无序-有序的相变。我们自己的实验数据和先前描述的生物计算例子的类比表明,最初对营养物质的有限反应可能随后是一个适应阶段,以扩大感觉范围和巩固记忆。
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