Stanislas T, Hamant O, Traas J
Laboratoire de Reproduction et Développement des Plantes, ENS-Lyon, INRA, CNRS, UCBL, Université de Lyon, 46 allée d'Italie, 69364 Lyon Cedex 07, France.
Methods Cell Biol. 2017;139:203-223. doi: 10.1016/bs.mcb.2016.11.008. Epub 2017 Jan 3.
Although many molecular regulators of morphogenesis have been identified in plants, it remains largely unknown how the molecular networks influence local cell shape and how cell growth, form, and position are coordinated during tissue and organ formations. So far, analyses of gene function in morphogenesis have mainly focused on the qualitative analysis of phenotypes, often providing limited mechanistic insight into how particular factors act. For this reason, there has been a growing interest in mathematical and computational models to formalize and test hypotheses. These require much more rigorous, quantitative approaches; in parallel, new quantitative and correlative imaging pipelines have been developed to study morphogenesis. Here, we describe a number of such methods, focusing on live imaging.
尽管在植物中已经鉴定出许多形态发生的分子调节因子，但分子网络如何影响局部细胞形状，以及在组织和器官形成过程中细胞生长、形态和位置是如何协调的，在很大程度上仍然未知。到目前为止，对形态发生中基因功能的分析主要集中在表型的定性分析上，这往往只能提供关于特定因子如何起作用的有限的机制性见解。因此，人们对用于形式化和检验假设的数学和计算模型的兴趣与日俱增。这些模型需要更严格的定量方法；与此同时，为了研究形态发生，人们已经开发了新的定量和相关成像流程。在这里，我们描述了许多这样的方法，重点是实时成像。
