Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli studi di Napoli "Federico II", Napoli, Italy.
Ceinge Biotecnologie Avanzate, Napoli, Italy.
PLoS One. 2022 Aug 2;17(8):e0272259. doi: 10.1371/journal.pone.0272259. eCollection 2022.
Although the simple diffusion model can effectively describe the movement of eukaryotic cells on a culture surface observed at relatively low sampling frequency, at higher sampling rates more complex models are often necessary to better fit the experimental data. Currently available models can describe motion paths by involving additional parameters, such as linearity or directional persistence in time. However sometimes difficulties arise as it is not easy to effectively evaluate persistence in presence of a directional bias. Here we present a procedure which helps solve this problem, based on a model which describes displacement as the vectorial sum of three components: diffusion, persistence and directional bias. The described model has been tested by analysing the migratory behaviour of simulated cell populations and used to analyse a collection of experimental datasets, obtained by observing cell cultures in time lapse microscopy. Overall, the method produces a good description of migration behaviour as it appears to capture the expected increase in the directional bias in presence of wound without a large concomitant increase in the persistence module, allowing it to remain as a physically meaningful quantity in the presence of a directional stimulus.
虽然简单的扩散模型可以有效地描述在相对较低的采样频率下观察到的真核细胞在培养表面上的运动，但在更高的采样率下，通常需要更复杂的模型来更好地拟合实验数据。目前可用的模型可以通过涉及附加参数来描述运动路径，例如线性或时间上的方向持续。然而，有时会出现困难，因为在存在方向偏差的情况下，很难有效地评估持续时间。在这里，我们提出了一种基于描述位移为扩散、持续时间和方向偏差三个分量的矢量和的模型的程序来帮助解决这个问题。所描述的模型已经通过分析模拟细胞群体的迁移行为进行了测试，并用于分析通过延时显微镜观察细胞培养物获得的一组实验数据集。总体而言，该方法对迁移行为进行了很好的描述，因为它似乎在没有伴随持续时间模块的大量增加的情况下，捕获了在伤口存在下方向偏差的预期增加，从而使其在存在方向刺激时保持物理上有意义的数量。
