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Collaborative Research: Analysis of the Mammalian Olfactory Code

Collaborative Research: Analysis of the Mammalian Olfactory Code
合作研究:哺乳动物嗅觉密码分析
批准号:
1555925
负责人:
Vladimir Itskov
金额:
$39.57万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-11-01 至 2021-10-31

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项目成果

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中文摘要
翻译
该项目是在美国国家科学基金会关于“破解嗅觉密码”的创意实验室期间开发的,并由化学系生命过程化学项目、数学科学系数学生物学项目、生命系统物理学项目共同资助物理系、综合有机系统系神经系统集群、生物基础设施系、哺乳动物的嗅觉可以说是动物王国中最复杂的感觉系统。数以百计的嗅觉受体被用来在复杂的环境中以极高的灵敏度检测大量的化学物质。这个合作项目结合了生物化学,神经生物学,基因组学,数学和新技术,以了解哺乳动物嗅觉系统如何检测,编码和提取化学刺激的意义。该项目的目标是:(1)阐明化学感觉如何转变为嗅觉感知的基本神经机制;(2)为嗅觉科学家提供大量科学资源;(3)为更广泛的受众提供有价值的信息,包括分子进化,化学生态学,以及风味和香味社区;(4)为嗅觉科学家提供科学资源。(4)建立新的技术和数学框架来研究生物系统;(5)促进应用化学传感技术进行环境监测,食品安全和国土安全。该项目还提供从高中到博士后实习生的培训机会,通过与当地科学博物馆、科学学习中心及其媒体的合作,提供教育机会和外展服务。该项目的工作围绕三个目标进行组织,重点关注气味身份和气味价的信息气味编码(吸引力/厌恶)在嗅觉受体水平编码(目标1);在嗅球内,气味信息首先被处理(目标2);以及皮质杏仁核,气味代码可以与其他信息流整合(目标3)。该项目的完成需要开发和使用广泛的创新方法,包括将所有人类和小鼠的气味受体映射到它们结合的化学物质,使用行为测定来定义这些化学物质的先天价,将所有气味受体投射映射到嗅球,功能上表征它们在嗅球和皮质杏仁核中的神经表征,并使用新的数学方法来理解在感觉神经元、嗅球小球和杏仁核水平上的气味编码和嗅觉神经回路的潜在结构。每个目标的进展都涉及具有不同专业知识的团队成员之间的密切合作,包括分子生物学,行为神经科学,体内功能成像以及复杂数据集的数学和理论分析。在这里实施的多学科战略有望导致一个综合和全面的理解哺乳动物的感觉,使他们的化学环境的意义。
英文摘要
This project was developed during a NSF Ideas Lab on "Cracking the Olfactory Code" and is jointly funded by the Chemistry of Life Processes program in the Chemistry Division, the Mathematical Biology program in the Division of Mathematical Sciences, the Physics of Living Systems program in the Physics Division, the Neural Systems Cluster in the Division of Integrative Organismal Systems, the Division of Biological Infrastructure, and the Division of Emerging Frontiers.The mammalian sense of smell is arguably the most complex sensory system in the animal kingdom. Hundreds of olfactory receptors are deployed to detect a vast array of chemicals with exquisite sensitivity in complex environments. This collaborative project combines biochemistry, neurobiology, genomics, mathematics and new technologies to understand how the mammalian olfactory system detects, encodes and extracts meaning from chemical stimuli. The goals of this project are to: (1) elucidate fundamental neural mechanisms for how chemical sensation turns into the perception of a smell; (2) produce a vast array of scientific resources to olfactory scientists; (3) provide valuable information for broader audiences, including for molecular evolution, chemical ecology, and flavor and fragrance communities; (4) establish new technologies and mathematical frameworks to study biological systems; and (5) facilitate applied chemical sensing technologies for environmental monitoring, food safety, and homeland security. The project also offers training opportunities from the high school to the postdoctoral trainee level, and educational opportunities and outreach through partnerships with local science museums as well as science learning centers and their media outlets.This project's efforts are organized around three aims that focus on how information about odor identity and odor valence (attractiveness/aversiveness) is encoded at the level of olfactory receptors (Aim 1); within the olfactory bulb, where odor information is first processed (Aim 2); and the cortical amygdala, where odor codes may integrate with other information streams (Aim 3). Completion of the project entails the development and use a broad array of innovative approaches that include mapping all human and mouse odorant receptors to the chemicals they bind, defining the innate valence of these chemicals using behavioral assays, mapping all odorant receptor projections to the olfactory bulb, functionally characterizing their neural representations in the olfactory bulb and cortical amygdala, and using novel mathematical approaches to understand the underlying structure of odor coding and olfactory neural circuits at the level of sensory neurons, olfactory bulb glomeruli, and amygdala. Progress towards each aim involves close collaborations between team members with diverse expertise, including molecular biology, behavioral neuroscience, in vivo functional imaging, and mathematical and theoretical analysis of complex datasets. The multidisciplinary strategy implemented here promises to lead to an integrated and comprehensive understanding of how mammals sense and make sense of their chemical environments.
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Topology of Neural Coding in Recurrent Networks: Theory and Data Analysis
  • 批准号:
    1122519
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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    2009
  • 负责人:
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  • 批准号:
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  • 项目类别:
    Standard Grant
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    2008
  • 负责人:
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