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高等生物中肌源性分化的算法。

Algorithm of myogenic differentiation in higher-order organisms.

作者信息

Piran Ron, Halperin Einat, Guttmann-Raviv Noga, Keinan Ehud, Reshef Ram

机构信息

Schulich Faculty of Chemistry, Technion - Israel Institute of Technology, Technion City, Haifa 32000, Israel.

出版信息

Development. 2009 Nov;136(22):3831-40. doi: 10.1242/dev.041764.

Abstract

Cell fate determination is governed by complex signaling molecules at appropriate concentrations that regulate the cell decision-making process. In vertebrates, however, concentration and kinetic parameters are practically unknown, and therefore the mechanism by which these molecules interact is obscure. In myogenesis, for example, multipotent cells differentiate into skeletal muscle as a result of appropriate interplay between several signaling molecules, which is not sufficiently characterized. Here we demonstrate that treatment of biochemical events with SAT (satisfiability) formalism, which has been primarily applied for solving decision-making problems, can provide a simple conceptual tool for describing the relationship between causes and effects in biological phenomena. Specifically, we applied the Łukasiewicz logic to a diffusible protein system that leads to myogenesis. The creation of an automaton that describes the myogenesis SAT problem has led to a comprehensive overview of this non-trivial phenomenon and also to a hypothesis that was subsequently verified experimentally. This example demonstrates the power of applying Łukasiewicz logic in describing and predicting any decision-making problem in general, and developmental processes in particular.

摘要

细胞命运的决定由适当浓度的复杂信号分子控制,这些信号分子调节细胞的决策过程。然而,在脊椎动物中,浓度和动力学参数实际上是未知的,因此这些分子相互作用的机制尚不清楚。例如,在肌发生过程中,多能细胞由于几种信号分子之间的适当相互作用而分化为骨骼肌,但这种相互作用尚未得到充分表征。在这里,我们证明,用主要用于解决决策问题的SAT(可满足性)形式主义处理生化事件,可以为描述生物现象中因果关系提供一个简单的概念工具。具体来说,我们将卢卡西维茨逻辑应用于一个导致肌发生的可扩散蛋白质系统。创建一个描述肌发生SAT问题的自动机,不仅全面概述了这一非平凡现象,还提出了一个随后经实验验证的假设。这个例子展示了应用卢卡西维茨逻辑在描述和预测一般决策问题,特别是发育过程方面的强大力量。

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