3D Digital Modeling of the Drosphila Brain

数字3D模型在神经科学中发挥着越来越重要的作用。表示三维 支架，其中功能数据和基因表达数据被输入并以图形方式显示， 模型成为分析工具，使人们能够解决神经连接和功能，以及基因 功能和基因相互作用。这项拨款申请建议产生一系列标准化的数字 发育中的果蝇大脑的图谱模型，许多人使用这个系统来研究遗传学。 控制神经回路的形成和功能的机制。苍蝇的大脑是由一个不变量 一组神经母细胞谱系，代表细胞体位置，轴突投射， 以及（在本提案中将涉及的程度上）连通性。轴突和树突分支， 建立形态学上不同的神经桩隔室，从晚期胚胎到晚期胚胎都可以看到。 成年人了complications和血统形成了一个刻板的模式，将被捕获在拟议的数字 模型考虑到它们对我们和其他人的有用性以及可行性，以下模型是 提出：（1）早期胚胎神经母细胞图，（2）晚期胚胎初级谱系与进化 神经堆，（3）与神经堆隔室有关的晚期幼虫次级谱系，（4）进化的次级谱系 道系统和蛹的神经堆隔室。这些模型代表了一个完整的系列 因为每个神经母细胞的“遗传地址”，由已知的基因组表达的定义， 早期胚胎神经母细胞图，将与神经元和它们的轴突的人口为模型， 晚期胚胎、幼虫和蛹。这个建模项目的目标是提供一个与 社区，允许更有效地利用果蝇大脑进行发育-遗传和功能 问题.神经谱系的模型将使我们有可能对特定的实验进行分阶段描述， 突变表型

Digital 3D models play an increasingly important role in neuroscience. Representing three-dimensional scaffolds in which functional data and gene expression data are entered and displayed graphically, the digital models become analytical tools that allow one to address neural connectivity and function, as well as gene function and gene interactions. This grant application proposes to generate a series of standardized digital atlas models of the developing Drosophila brain, a system used by many to investigate the genetic mechanism controlling the formation and function of neuronal circuits. The fly brain is formed by an invariant set of neuroblast lineages which represent structural units in terms of cell body location, axonal projection, and (to an extent that will be addressed in this proposal) connectivity. Axonal and dendritic arborizations, establish morphologically distinct neuropile compartments that are visible from the late embryo towards the adult. Compartments and lineages form a stereotyped pattern that will be captured in the proposed digital models. Having in mind their usefulness for us and others, as well as feasibility, the following models are proposed: (1) early embryonic neuroblast map, (2) late embryonic primary lineages in relation to evolving neuropile, (3) late larval secondary lineages in relation to neuropile compartments, (4) evolving secondary tract systems and neuropile compartments of the pupa. These models represent an integrated series because the "genetic address" of each neuroblast, defined by the known sets of genes expressed in the early embryonic neuroblast map, will be linked to the population of neurons and their axons modeled for the late embryo, larva and pupa. The goal of this modeling project is to provide a tool shared with the community, allowing to exploit the Drosphila brain more efficiently for developmental-genetic and functional questions. Models of neural lineages will make it possible to phrase specific experiments and to interpret mutant phenotypes.