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DESCRIPTION (provided by applicant): The specific problems in behaviors and cognition that are caused by major neurological diseases including Alzheimer's, Parkinson's, Huntington's, and ALS arise due to the progressive degeneration and dysfunction of neurons in selected regions throughout the brain. Similar causes are also hypothesized for the common decline in behaviors and cognition associated with natural aging. Yet, the entire complement of neurons that become progressively dysmorphic and dysfunctional through natural aging remains unknown. A paradigm shifting approach for discovering drugs that prevent neurodegeneration through natural aging and disease models would be to study the effect of each chemical compound in the entire nervous system of a well-defined model organism in a high-throughput manner. We propose to develop a novel high-throughput screening platform using optics and microfluidics (opto-fluidics) that will enable characterization of each neuron in the whole nervous system within milliseconds with sub-cellular resolution in the genetic model Caenorhabditis elegans. The marriage of an ultra-rapid screening method with novel in vivo models will open the possibility for unbiased screens that do not require any prior knowledge of potential drug targets and pathways. We have chosen C. elegans because it is the only animal with a completely characterized nervous system, is amenable to high-throughput drug screening with microfluidics, and is a validated model for aging and neurological diseases in humans. The proposed opto-fluidics platform will be able to rapidly quantify the morphological integrity of every neuron in an animal's nervous system in milliseconds as they pass through a microfludic channel. Individual neurons can easily be identified by combinatorial expression of diverse fluorescent reporters in a single animal. Besides high-speed quantification capabilities, the ability to automatically interface with 96- or 384-well plates will enable for loading of a large number of populations of worms each treated with a different chemical compound into the opto-fluidics chip. The principles uncovered from these studies will have a profound impact on understanding the neuronal basis for how behavioral performance declines in disease and aging, and how to prevent this decline in humans.
期刊论文(7)
专著(0)
科研奖励(0)
会议论文
Systematic Functional Characterization of Human 21st Chromosome Orthologs in Caenorhabditis elegans.
秀丽隐杆线虫人类 21 号染色体直系同源物的系统功能表征。
DOI: 10.1534/g3.118.200019
发表时间: 2018
期刊: G3 (Bethesda, Md.)
影响因子: --
作者: [Nordquist,SarahK, Smith,SofiaR, Pierce,JonathanT]
通讯作者: Pierce,JonathanT
Small-molecule-mediated axonal branching in Caenorhabditis elegans.
秀丽隐杆线虫中小分子介导的轴突分支。
DOI: 10.1002/cbic.201200712
发表时间: 2013
期刊: Chembiochem : a European journal of chemical biology
影响因子: --
作者: [Zlotkowski,Katherine, Pierce-Shimomura,Jon, Siegel,Dionicio]
通讯作者: Siegel,Dionicio
DOI: 10.1016/j.biopsych.2012.12.026
发表时间: 2013-03-01
期刊: BIOLOGICAL PSYCHIATRY
影响因子: 10.6
作者: [Iyer, Sangeetha, Pierce-Shimomura, Jonathan T.]
通讯作者: Pierce-Shimomura, Jonathan T.
An automated microfluidic device for time-lapse imaging of mouse embryonic stem cells.
一种用于小鼠胚胎干细胞延时成像的自动化微流体装置。
DOI: 10.1063/1.5124057
发表时间: 2019
期刊: Biomicrofluidics
影响因子: 3.2
作者: [Laing,AdamF, Tirumala,Venkat, Hegarty,Evan, Mondal,Sudip, Zhao,Peisen, Hamilton,WilliamB, Brickman,JoshuaM, Ben-Yakar,Adela]
通讯作者: Ben-Yakar,Adela
Three-dimensional fluorescence imaging flow cytometry at up to million frames per second
  • 批准号:
    10568627
  • 项目类别:
  • 资助金额:
    $41.55万
  • 财政年份:
    2023
  • 负责人:
    ADELA BEN-YAKAR
  • 依托单位:
Probe-based two photon microscopy for functional, label-free early cancer diagnosis
  • 批准号:
    10398159
  • 项目类别:
  • 资助金额:
    $67.41万
  • 财政年份:
    2020
  • 负责人:
    ADELA BEN-YAKAR
  • 依托单位:
Probe-based two photon microscopy for functional, label-free early cancer diagnosis
  • 批准号:
    10178013
  • 项目类别:
  • 资助金额:
    $66.97万
  • 财政年份:
    2020
  • 负责人:
    ADELA BEN-YAKAR
  • 依托单位:
Probe-based two photon microscopy for functional, label-free early cancer diagnosis
  • 批准号:
    10030979
  • 项目类别:
  • 资助金额:
    $74.7万
  • 财政年份:
    2020
  • 负责人:
    ADELA BEN-YAKAR
  • 依托单位:
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