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细胞内的图灵模式。

Turing patterns inside cells.

作者信息

Strier Damián E, Ponce Dawson Silvina

机构信息

Service de Chimie Physique and Center for Nonlinear Phenomena and Complex Systems, Université Libre de Bruxelles, Brussels, Belgium.

出版信息

PLoS One. 2007 Oct 17;2(10):e1053. doi: 10.1371/journal.pone.0001053.

Abstract

Concentration gradients inside cells are involved in key processes such as cell division and morphogenesis. Here we show that a model of the enzymatic step catalized by phosphofructokinase (PFK), a step which is responsible for the appearance of homogeneous oscillations in the glycolytic pathway, displays Turing patterns with an intrinsic length-scale that is smaller than a typical cell size. All the parameter values are fully consistent with classic experiments on glycolytic oscillations and equal diffusion coefficients are assumed for ATP and ADP. We identify the enzyme concentration and the glycolytic flux as the possible regulators of the pattern. To the best of our knowledge, this is the first closed example of Turing pattern formation in a model of a vital step of the cell metabolism, with a built-in mechanism for changing the diffusion length of the reactants, and with parameter values that are compatible with experiments. Turing patterns inside cells could provide a check-point that combines mechanical and biochemical information to trigger events during the cell division process.

摘要

细胞内的浓度梯度参与细胞分裂和形态发生等关键过程。在这里,我们表明,由磷酸果糖激酶(PFK)催化的酶促步骤模型,该步骤是糖酵解途径中均匀振荡出现的原因,展示了具有小于典型细胞大小的固有长度尺度的图灵模式。所有参数值都与糖酵解振荡的经典实验完全一致,并且假设ATP和ADP具有相等的扩散系数。我们确定酶浓度和糖酵解通量为模式的可能调节因子。据我们所知,这是细胞代谢重要步骤模型中图灵模式形成的第一个封闭示例,具有改变反应物扩散长度的内在机制,并且参数值与实验兼容。细胞内的图灵模式可以提供一个检查点,将机械和生化信息结合起来,以触发细胞分裂过程中的事件。

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