Janulevicius Albertas, van Pelt Jaap, van Ooyen Arjen
Netherlands Institute for Brain Research, Amsterdam, The Netherlands.
Biophys J. 2006 Feb 1;90(3):788-98. doi: 10.1529/biophysj.105.059410.
Microtubules (MTs) are cytoskeletal polymers that exhibit dynamic instability, the random alternation between growth and shrinkage. MT dynamic instability plays an essential role in cell development, division, and motility. To investigate dynamic instability, simulation models have been widely used. However, conditions under which the concentration of free tubulin fluctuates as a result of growing or shrinking MTs have not been studied before. Such conditions can arise, for example, in small compartments, such as neuronal growth cones. Here we investigate by means of computational modeling how concentration fluctuations caused by growing and shrinking MTs affect dynamic instability. We show that these fluctuations shorten MT growth and shrinkage times and change their distributions from exponential to non-exponential, gamma-like. Gamma-like distributions of MT growth and shrinkage times, which allow optimal stochastic searching by MTs, have been observed in various cell types and are believed to require structural changes in the MT during growth or shrinkage. Our results, however, show that these distributions can already arise as a result of fluctuations in the concentration of free tubulin due to growing and shrinking MTs. Such fluctuations are possible not only in small compartments but also when tubulin diffusion is slow or when many MTs (de)polymerize synchronously. Volume and all other factors that influence these fluctuations can affect MT dynamic instability and, consequently, the processes that depend on it, such as neuronal growth cone behavior and cell motility in general.
微管(MTs)是细胞骨架聚合物,表现出动态不稳定性,即生长和收缩之间的随机交替。微管动态不稳定性在细胞发育、分裂和运动中起着至关重要的作用。为了研究动态不稳定性,模拟模型已被广泛使用。然而,由于微管的生长或收缩导致游离微管蛋白浓度波动的条件以前尚未被研究过。例如,在小的隔室中,如神经元生长锥,就可能出现这种情况。在这里,我们通过计算建模研究微管的生长和收缩引起的浓度波动如何影响动态不稳定性。我们表明,这些波动缩短了微管的生长和收缩时间,并将它们的分布从指数分布变为非指数分布,类似伽马分布。在各种细胞类型中都观察到了微管生长和收缩时间的类似伽马分布,这种分布允许微管进行最佳随机搜索,并且据信在微管生长或收缩期间需要结构变化。然而,我们的结果表明,这些分布可能已经是由于微管的生长和收缩导致游离微管蛋白浓度波动的结果。这种波动不仅在小隔室中可能出现,而且当微管蛋白扩散缓慢或许多微管同步(解)聚合时也可能出现。影响这些波动的体积和所有其他因素会影响微管动态不稳定性,进而影响依赖于它的过程,如神经元生长锥行为和一般的细胞运动。