OPTICAL NEUROMODULATION TECHNOLOGY FOR LONG TIMESCALES

长时间尺度的光学神经调节技术

基本信息

  • 批准号:
    8471774
  • 负责人:
  • 金额:
    $ 37.25万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-07-15 至 2015-04-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Neurons compute using a vast array of diverse signals, in which millisecond-scale electrical pulses are complemented by slower membrane potential changes and by slower neuromodulator-driven signals that operate over a broad range of timescales (from seconds to hours), to govern neuroplasticity and neural information processing. Optogenetics (the use of light to control genetically-defined cells within neural tissue) has enabled control over fast electrical events, but has left control over neuromodulatory and slower events relatively unexplored. This deficiency in optogenetics represents an enormous unmet need, as neuromodulator-driven plasticity is likely to be important in Parkinson's Disease, addiction, depression, and many other neuropsychiatric processes, while transient electrical events simply do not capture the full complexity of neural information processing. Uncaging strategies can release second messengers such as Ca2+ and cAMP (just as glutamate uncaging can control fast electrical events); however, uncaging involves bulk application of synthetic UV-releasable compounds that are neither suitable for in vivo use, nor useful for driving genetically-targeted cell types. Moreover, key neuromodulators such dopamine and norepinephrine (which the brain delivers in temporally precise, pulsed, phasic or tonic patterns depending on the situation) do not recruit a single messenger, but rather act on target cells to recruit a complex fabric of intracellular messengers that would be impossible to recapitulate with current technologies. Thus, there is no temporally-precise method to control neuromodulation in defined cells within living animals. In Aim 1, we will molecularly engineer novel versatile tools for optical recruitment of neuromodulatory signals, including those downstream of the G-protein coupled receptors linked to virtually every neuromodulator system. In Aim 2, we will engineer strategies for long-timescale electrical control, focusing on identification and molecular optimization of proteins that provide for generation of stably modulated electrical states. In Aim 3, we will adapt the novel tools from Aims 1 and 2 for targeting to specific locations in specific cell types, and in Aim 4, we will validate the novel tools, integrated with custom optical hardware in freely-moving mice, to test the causal roles of specific modulation patterns in behavioral conditioning. The new technologies, encompassing light sensor/effectors, devices, and targeting tools, will be 1) designed for versatile application across diverse fields; 2) distributed to the scientific community, and 3) applied to mammalian models in our laboratory. This approach leverages our work on optical control of electrical events, but opens the door to a much broader landscape. Indeed, the anticipated impact is movement toward a network engineering approach that spans timescales and modalities, in which complex excitable-tissue function is understood in terms of system properties emerging from interacting electrical and biochemical signals.
描述(由申请人提供):神经元使用大量不同的信号进行计算,其中毫秒级的电脉冲由较慢的膜电位变化和较慢的神经调节剂驱动的信号补充,这些信号在广泛的时间尺度范围内(从秒到小时)运行,以控制神经可塑性和神经信息处理。光遗传学(利用光来控制神经组织中遗传定义的细胞)已经能够控制快速的电事件,但对神经调节和较慢的事件的控制还相对未被探索。光遗传学的这一缺陷代表了一个巨大的未满足的需求,因为神经调节剂驱动的可塑性可能在帕金森病、成瘾、抑郁和许多其他神经精神过程中很重要,而瞬态电事件根本不能捕捉神经信息处理的全部复杂性。解封策略可以释放第二信使,如Ca2+和cAMP(就像谷氨酸解封可以控制快速电事件一样);然而,解开包膜需要大量应用合成的紫外线释放化合物,这些化合物既不适合在体内使用,也不利于驱动基因靶向细胞类型。此外,关键的神经调节剂,如多巴胺和去甲肾上腺素(大脑根据情况以时间精确、脉冲、相位或强直的模式传递)不会招募单一的信使,而是作用于目标细胞,招募细胞内信使的复杂结构,这是目前技术无法重现的。因此,没有一种暂时精确的方法来控制活动物体内特定细胞的神经调节。在目标1中,我们将通过分子工程设计新颖的多功能工具,用于神经调节信号的光学募集,包括与几乎所有神经调节系统相连的g蛋白偶联受体的下游。在目标2中,我们将设计长期电气控制策略,重点是识别和分子优化蛋白质,提供稳定调制的电气状态的产生。在目标3中,我们将调整目标1和目标2中的新工具,以瞄准特定细胞类型的特定位置;在目标4中,我们将验证新工具,在自由移动的小鼠中集成定制光学硬件,以测试特定调制模式在行为条件反射中的因果作用。新技术,包括光传感器/效应器,设备和瞄准工具,将1)设计用于跨不同领域的通用应用;2)分发给科学界,3)应用于我们实验室的哺乳动物模型。这种方法利用了我们在电事件的光学控制方面的工作,但为更广阔的领域打开了大门。事实上,预期的影响是朝着跨越时间尺度和模式的网络工程方法发展,在这种方法中,复杂的兴奋性组织功能是根据相互作用的电子和生化信号产生的系统特性来理解的。

项目成果

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Karl A. Deisseroth其他文献

Karl A. Deisseroth的其他文献

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{{ truncateString('Karl A. Deisseroth', 18)}}的其他基金

An optical-genetic toolbox for monitoring and controlling diverse neuromodulatory circuits governing complex behaviors in primates
用于监测和控制灵长类动物复杂行为的多种神经调节回路的光遗传工具箱
  • 批准号:
    10650669
  • 财政年份:
    2023
  • 资助金额:
    $ 37.25万
  • 项目类别:
Interaction of external inputs with internal dynamics: influence of brain states on neural computation and behavior
外部输入与内部动态的相互作用:大脑状态对神经计算和行为的影响
  • 批准号:
    10047726
  • 财政年份:
    2021
  • 资助金额:
    $ 37.25万
  • 项目类别:
Interaction of external inputs with internal dynamics: influence of brain states on neural computation and behavior
外部输入与内部动态的相互作用:大脑状态对神经计算和行为的影响
  • 批准号:
    10698364
  • 财政年份:
    2021
  • 资助金额:
    $ 37.25万
  • 项目类别:
Administrative Core
行政核心
  • 批准号:
    10047727
  • 财政年份:
    2021
  • 资助金额:
    $ 37.25万
  • 项目类别:
Research Project 1 - Developing and applying tools to probe internal state dynamics of perception and motivation
研究项目 1 - 开发和应用工具来探测感知和动机的内部状态动态
  • 批准号:
    10490239
  • 财政年份:
    2021
  • 资助金额:
    $ 37.25万
  • 项目类别:
Administrative Core
行政核心
  • 批准号:
    10490234
  • 财政年份:
    2021
  • 资助金额:
    $ 37.25万
  • 项目类别:
Administrative Core
行政核心
  • 批准号:
    10687135
  • 财政年份:
    2021
  • 资助金额:
    $ 37.25万
  • 项目类别:
Research Project 1 - Developing and applying tools to probe internal state dynamics of perception and motivation
研究项目 1 - 开发和应用工具来探测感知和动机的内部状态动态
  • 批准号:
    10687144
  • 财政年份:
    2021
  • 资助金额:
    $ 37.25万
  • 项目类别:
Interaction of external inputs with internal dynamics: influence of brain states on neural computation and behavior
外部输入与内部动态的相互作用:大脑状态对神经计算和行为的影响
  • 批准号:
    10687134
  • 财政年份:
    2021
  • 资助金额:
    $ 37.25万
  • 项目类别:
Research Project 1 - Developing and applying tools to probe internal state dynamics of perception and motivation
研究项目 1 - 开发和应用工具来探测感知和动机的内部状态动态
  • 批准号:
    10047732
  • 财政年份:
    2021
  • 资助金额:
    $ 37.25万
  • 项目类别:

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肾上腺素能药物治疗AD疗效的临床前试验
  • 批准号:
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