Analyzing And Engineering Networks That Control Spatial Organization

6.项目2.分析和设计控制空间的网络 组织 总结 该项目的目标是了解生物系统中空间决策的逻辑。一个标志 生命系统的关键是它们能够形成对其功能至关重要的复杂结构。值得注意的是， 在细胞内水平和多细胞水平上，这种生物结构通过一个过程产生， 自我组织;单个组件（分子或细胞）作为一个集体系统来创建 尽管这些组件是分布式的，而且通常只能 执行简单的本地监管规则。自组织原则如何动态地塑造空间组织 细胞和多细胞结构的研究仍然是细胞生物学中一个基本但知之甚少的问题。 最终，如果我们能够理解如何设计空间自组织系统，这将具有重要意义。 在控制细胞的形状，运动和功能，或在复杂的多细胞工程的影响， 结构，如器官。在这里，我们集中在一组示例细胞内和多细胞空间行为 并建议识别和描述能够产生这些行为的核心自组织算法 使用系统扰动、计算分析和合成重建的组合。 首席研究员：马歇尔 研究者：马歇尔、GARTNER、THOMSON、LIM、MOSTOV、ALTSCHULER、WU

6. PROJECT 2. ANALYZING AND ENGINEERING NETWORKS THAT CONTROL SPATIAL ORGANIZATION SUMMARY The goal of this project is to understand the logic of spatial decision-making in biological systems. A hallmark of living systems is their ability to form complex structures that are essential for their function. Remarkably, such biological structure, both at the intracellular level as well as the multicellular level, arise through a process of self-organization; the individual components (molecules or cells) function as a collective system to create global order from the bottom-up, despite the fact that these components are distributed and can generally only execute simple local regulatory rules. How self-organizing principles dynamically shape the spatial organization of the cell and multicellular structures remains a fundamental yet poorly understood question in cell biology. Ultimately, if we could understand how to engineer spatial self-organizing systems, this would have important implications in controlling cellular shape, movement, and function or in the engineering of complex multicellular structures, such as organs. Here we focus on a set of example intracellular and multicellular spatial behaviors and propose to identify and characterize the core self-organizational algorithms that can yield these behaviors using a combination of systematic perturbation, computational analysis, and synthetic reconstitution. LEAD Investigator: MARSHALL Investigators: MARSHALL, GARTNER, THOMSON, LIM, MOSTOV, ALTSCHULER, WU