SENSELAB: INTEGRATION OF MULTIDISCIPLINARY SENSORY DATA

SenseLab：多学科感官数据的整合

• 批准号: 6379595
• 负责人: GORDON SHEPHERD
• 金额: $ 113.21万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-08-15 至 2004-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6379595
• 关键词: behavioral /social science research tag; computational neuroscience; informatics; olfactions

DESCRIPTION (Applicant's Abstract): In the neurosciences, the generation of experimental data relating to neuronal properties - receptors, channels and neurotransmitters - currently far exceeds the means for archiving, analyzing and integrating these data in ways that give insight into the neural basis of brain function. There is an increasingly urgent need to develop a new generation of sophisticated databases and informatics tools for this purpose. The olfactory system is an attractive model for attacking these problems, and we have therefore set up a pilot project entitled SenseLab for this purpose. Over the past six years, progress in this pilot project has led to several types of web accessible databases and tools to enhance our work on the olfactory system. These include: Olfactory Receptor Database (ORDB), for unpublished as well as published sequence data, to aid the effort in the olfactory field to clone and sequence the very large gene family of olfactory receptor genes; Odor Database (OdorDB), a database of odor molecules used to test for receptor affinities in expression systems; NeuronDB, a database of receptor, channel and neurotransmitter properties, to aid in the integration of these data in different compartments of different types of neurons, and to allow searches for specific properties across different neuron types; and ModelDB, a database of neuronal models. Further development of these databases and tools requires an enhanced effort in which single current project needs to be expanded into three parallel projects supported by this Program Project. Project 1 will test specific hypotheses regarding olfactory function at several levels of the olfactory pathway, using current databases and several new databases. Project 2 will be devoted to fundamental informatics research to refine current databases and tools and develop new ones. Project 3 will focus on applying modeling methods to analyzing specific types of neuronal integration, and developing model databases for wider testing of neuronal models of the web. Automated database entry linked to journal publication of neuronal properties will be explored. A Core will provide administrative and programming support. These databases and tools will enhance the understanding of neural mechanisms in sensation. They will be generalizable to other systems, to provide tools of wider use for integrating and searching neuroscientific data.

在神经科学中，与神经元特性-受体、通道和神经递质-相关的实验数据的产生目前远远超过了以洞察脑功能的神经基础的方式存档、分析和整合这些数据的手段。越来越迫切需要为此目的开发新一代的先进数据库和信息学工具。嗅觉系统是解决这些问题的一个有吸引力的模型，因此我们为此目的建立了一个名为SenseLab的试点项目。在过去的六年里，这个试点项目的进展导致了几种类型的网络访问数据库和工具，以加强我们对嗅觉系统的工作。其中包括：嗅觉受体数据库（ORDB），用于未发表和已发表的序列数据，以帮助嗅觉领域中克隆和测序嗅觉受体基因的非常大的基因家族的努力;气味数据库（OdorDB），用于测试表达系统中的受体亲和力的气味分子的数据库; NeuronDB是一个受体、通道和神经递质特性的数据库，有助于将这些数据整合到不同类型神经元的不同区室中，并允许搜索不同神经元类型的特定属性;以及ModelDB，神经元模型的数据库。这些数据库和工具的进一步开发需要加强努力，其中单个当前项目需要扩展为本计划项目支持的三个并行项目。项目1将使用现有数据库和几个新的数据库，在嗅觉通路的几个层次上测试关于嗅觉功能的特定假设。项目2将致力于基础信息学研究，以完善现有的数据库和工具，并开发新的数据库和工具。项目3将专注于应用建模方法来分析特定类型的神经元整合，并开发模型数据库，以更广泛地测试网络的神经元模型。将探讨与神经元特性的期刊出版物相关的自动数据库条目。核心人员将提供行政和方案编制支助。这些数据库和工具将增强对感觉神经机制的理解。它们将被推广到其他系统，为整合和搜索神经科学数据提供更广泛使用的工具。