Mathematical analysis and modeling of Notch signaling in zebrafish somitogenesis

斑马鱼体细胞发生中Notch信号的数学分析和建模

• 批准号: RGPIN-2020-07097
• 负责人: Liao, KangLing
• 金额: $ 1.31万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=741592
• 关键词: Mathematical; analysis; modeling; Notch; signaling

Many biological processes require cellular communication to coordinate multiple-cell actions for generating proper collective outcomes. The communication consists of signaling pathways in which signaling cells transmit signals to neighboring target cells. This process involves intracellular and intercellular reactions. A representative example is Notch signaling in somitogenesis. Somitogenesis is the process, in vertebrates, through which cells differentiate into segments of the body axis. Notch signaling transmits signals, through the binding between Notch protein and its ligands, to regulate collective cell behavior. However, it remains experimentally and computationally difficult to verify the detailed mechanisms of Notch signaling, due to the complexity of vertebrate embryos. Analysis of these microscopic and macroscopic dynamics requires high dimensional lattice systems to include space information and preserve the individuality of cells. However, analytic results for multiple-cell dynamics are limited, due to the complexity of high-dimensional systems. The long-term goal of my proposed research program is to investigate how the intracellular and intercellular reactions regulate the collective cell behavior of cellular signaling; my group will investigate how the reaction functions, system networks, and coupling types of subsystems affect the dynamics of the whole system in general. Hence, in this Discovery Grant (DG) cycle, a mathematical and computational framework will be built to investigate the mechanisms of Notch signaling in zebrafish somitogenesis. For mathematicians, the impact will be the construction of generalized models and analytical tools for cell signaling, enabling easy extension of these models to investigate other cellular communications. In order to investigate the collective cell behaviors, we will develop mathematical theories to overcome challenges in high dimensional systems. Connections between different types of models will be discovered to extend the benefits of these models. Mathematical analysis will characterize dynamics and their causal relation to explore how Notch signaling coordinates collective outcomes. For experimentalists and biologists, the criteria from our analysis will provide methods to help overcome experimental limitations by predicting the magnitude of embryonic components. Computational findings will be used to guide experimental designs that can be manipulated in zebrafish embryos to directly test mathematical parameters. Overall, a generalized mathematical and computational framework will be built to investigate the relation between subsystems and the whole system, for general cellular communication, accommodating differences in time and space scales. Importantly, this program provides an ideal environment for cross-training a new generation of scientists to acquire and develop methodologies, combining mathematics, computation, and biology, to overcome limitations in each discipline.

许多生物过程需要细胞通信来协调多细胞行动，以产生适当的集体结果。通信由信号传导通路组成，其中信号传导细胞将信号传递到邻近的靶细胞。这个过程涉及细胞内和细胞间的反应。一个代表性的例子是体节发生中的Notch信号传导。在脊椎动物中，体细胞发生是细胞分化成体轴节段的过程。Notch信号转导通过Notch蛋白与其配体的结合传递信号，调节细胞的集体行为。然而，由于脊椎动物胚胎的复杂性，在实验和计算上仍然难以验证Notch信号传导的详细机制。这些微观和宏观动力学的分析需要高维晶格系统，包括空间信息和保持细胞的个性。然而，由于高维系统的复杂性，多胞动力学的解析结果是有限的。我提出的研究计划的长期目标是研究细胞内和细胞间反应如何调节细胞信号传导的集体细胞行为;我的小组将研究反应功能，系统网络和子系统的耦合类型如何影响整个系统的动力学。因此，在这个发现资助（DG）周期中，将建立一个数学和计算框架来研究Notch信号在斑马鱼体节发生中的机制。对于数学家来说，其影响将是构建细胞信号的通用模型和分析工具，使这些模型能够轻松扩展到研究其他蜂窝通信。为了研究集体细胞行为，我们将发展数学理论来克服高维系统中的挑战。将发现不同类型模型之间的联系，以扩展这些模型的优势。数学分析将描述动力学及其因果关系，以探索Notch信号如何协调集体结果。对于实验学家和生物学家来说，我们的分析标准将通过预测胚胎成分的大小来帮助克服实验局限性。计算结果将用于指导可以在斑马鱼胚胎中操作的实验设计，以直接测试数学参数。总的来说，一个广义的数学和计算框架将建立调查子系统和整个系统之间的关系，为一般的蜂窝通信，适应时间和空间尺度的差异。重要的是，该计划为交叉培训新一代科学家提供了理想的环境，以获得和开发方法，结合数学，计算和生物学，以克服每个学科的局限性。