THE RETINAL CONNECTOME

视网膜连接组

• 批准号: 7955071
• 负责人: ROBERT E MARC
• 金额: $ 3.22万
• 依托单位: UNIVERSITY OF COLORADO
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2010-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7955071
• 关键词: Cells; Cellular Structures; Computer Retrieval of Information on Scientific Projects Database; Data; Disease; Funding; Goals; Grant; Image; Inherited; Institution; Intervention; Maps; Molecular; Research; Research Personnel; Resources; Retina; Retinal; Retinal Degeneration; Signal Transduction; Source; System; Temporal Lobe Epilepsy; Time; United States National Institutes of Health; Vision; Visual; Work; ganglion cell; molecular phenotype; neuronal survival; novel strategies

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The long term goals of this research are to: (1) generate a complete network map for the mammalian retina and (2) define the signaling profiles of all retinal cells. Fusions of molecular and computational analyses now make it possible to perform these tasks in a practical time frame. Specific Aim 1. Realization of a complete network map for the mammalian retina. Retinal networks converge on ganglion cells, creating some 15-20 filtered versions of the visual world. Maps of these filters will be acquired by fusing molecular phenotyping (to visualize all cells), excitation mapping (to visualize function), and large-scale ultrastructural imaging (to visualize all connections). The novel strategy is the computational propagation of molecular data into the ultrastructural data, producing a combined map of all cell classes and connections. Significance: Understanding any system requires a complete map: a map against which changes triggered by disease or experimental intervention can be gauged. This work has taken on new importance as inherited or acquired retinal degenerations are now known to heavily impact retinal wiring and neuronal survival, showing significant similarities to temporal lobe epilepsy. A complete network map provides the essential guide for any strategy to restore vision.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 这项研究的长期目标是：（1）生成哺乳动物视网膜的完整网络图，（2）定义所有视网膜细胞的信号传导谱。分子和计算分析的融合现在使得在实际的时间框架内执行这些任务成为可能。 具体目标1。哺乳动物视网膜完整网络图的实现。 视网膜网络汇聚在神经节细胞上，创造出大约15-20个过滤版本的视觉世界。将通过融合分子表型（可视化所有细胞）、激发标测（可视化功能）和大规模超微结构成像（可视化所有连接）来获取这些滤波器的标测图。新的策略是分子数据到超微结构数据的计算传播，产生所有细胞类别和连接的组合图。重要性：理解任何系统都需要一个完整的地图：一个可以衡量疾病或实验干预引发的变化的地图。这项工作具有新的重要性，因为现在已知遗传性或获得性视网膜变性严重影响视网膜布线和神经元存活，显示出与颞叶癫痫的显著相似性。一个完整的网络图为任何恢复视力的策略提供了必要的指导。