O'Dea R D, King J R
Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
J Math Biol. 2012 Feb;64(3):579-610. doi: 10.1007/s00285-011-0427-3. Epub 2011 May 20.
Intercellular signalling is key in determining cell fate. In closely packed tissues such as epithelia, juxtacrine signalling is thought to be a mechanism for the generation of fine-grained spatial patterns in cell differentiation commonly observed in early development. Theoretical studies of such signalling processes have shown that negative feedback between receptor activation and ligand production is a robust mechanism for fine-grained pattern generation and that cell shape is an important factor in the resulting pattern type. It has previously been assumed that such patterns can be analysed only with discrete models since significant variation occurs over a lengthscale concomitant with an individual cell; however, considering a generic juxtacrine signalling model in square cells, in O'Dea and King (Math Biosci 231(2):172-185 2011), a systematic method for the derivation of a continuum model capturing such phenomena due to variations in a model parameter associated with signalling feedback strength was presented. Here, we extend this work to derive continuum models of the more complex fine-grained patterning in hexagonal cells, constructing individual models for the generation of patterns from the homogeneous state and for the transition between patterning modes. In addition, by considering patterning behaviour under the influence of simultaneous variation of feedback parameters, we construct a more general continuum representation, capturing the emergence of the patterning bifurcation structure. Comparison with the steady-state and dynamic behaviour of the underlying discrete system is made; in particular, we consider pattern-generating travelling waves and the competition between various stable patterning modes, through which we highlight an important deficiency in the ability of continuum representations to accommodate certain dynamics associated with discrete systems.
细胞间信号传导是决定细胞命运的关键。在诸如上皮组织等紧密排列的组织中,旁分泌信号传导被认为是在早期发育中常见的细胞分化过程中产生细粒度空间模式的一种机制。对这种信号传导过程的理论研究表明,受体激活和配体产生之间的负反馈是产生细粒度模式的一种稳健机制,并且细胞形状是所产生模式类型的一个重要因素。以前人们认为,由于在与单个细胞相关的长度尺度上会发生显著变化,所以只能用离散模型来分析这种模式;然而,在奥戴和金(《数学生物科学》231(2):172 - 185,2011年)的研究中,考虑了方形细胞中的一般旁分泌信号传导模型,提出了一种系统方法来推导一个连续模型,该模型能够捕捉由于与信号反馈强度相关的模型参数变化而产生的此类现象。在这里,我们扩展这项工作,以推导六边形细胞中更复杂的细粒度模式形成的连续模型,构建从均匀状态产生模式以及模式形成模式之间转变的个体模型。此外,通过考虑反馈参数同时变化影响下的模式形成行为,我们构建了一个更通用的连续表示,捕捉模式形成分岔结构的出现。并与基础离散系统的稳态和动态行为进行了比较;特别是,我们考虑了模式生成行波以及各种稳定模式形成模式之间的竞争,借此突出连续表示在适应与离散系统相关的某些动态方面能力的一个重要不足。