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DESCRIPTION (provided by applicant): The multifaceted capability of neocortex emerges from its complicated cellular constituents, particularly the exceptionally diverse interneurons operating in an intricately organized circuit. Over the years many researchers have used primarily dual or triple whole-cell recordings to examine one or two, often ambiguously identified interneurons in incomplete circuits. As a consequence, most researchers have been overwhelmed by the differences between their results, much like the tale of "three blind men and an elephant," and have come to believe that the cortex consists of at least a few dozen of distinct types of interneurons and these interneurons must thus form a sophisticated cortical inhibitory network. In this application, we plan to develop a stable simultaneous octuple whole-cell recording technology to directly record and compare multiple anatomically identified interneurons in complete cortical inhibitory circuits (to see a more complete picture of the elephant). Based on our preliminary data, we propose to test whether cortical interneurons may be classified into a handful of groups based on their axonal arborization, and whether these interneurons serve functionally different roles in column- (aim 1), laminar- (aim 2) and/or subcellular domain (aim 3)-specific circuits. Our central hypothesis is that the cortical interneuronal network is constituted by nine general types of interneurons and is organized following three elemental rules. The findings from this project will support these surprisingly simple cortical interneuron classification scheme and circuit organizational principles. Because altered interneuronal function is a common mechanism contributing to various neurological disorders, including autisms, epilepsy, depression, Huntington's disease, neurofibromatosis, schizophrenia, Tourette's syndrome and trauma, this project will also help to build the groundwork for future identification of specific interneuron type(s) and/or circuit(s) altered in each of these neurological diseases.
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Genetically-encoded ACh sensors
  • 批准号:
    10065020
  • 项目类别:
  • 资助金额:
    $35.33万
  • 财政年份:
    2017
  • 负责人:
    J. Julius Zhu
  • 依托单位:
Genetically-encoded ACh sensors
  • 批准号:
    10334481
  • 项目类别:
  • 资助金额:
    $35.33万
  • 财政年份:
    2017
  • 负责人:
    J. Julius Zhu
  • 依托单位:
Interneuron-based cell therapy for Fragile X
  • 批准号:
    9115328
  • 项目类别:
  • 资助金额:
    $23.54万
  • 财政年份:
    2016
  • 负责人:
    J. Julius Zhu
  • 依托单位:
Synaptic Depression: Focus on Cdk5 Signaling
  • 批准号:
    9145288
  • 项目类别:
  • 资助金额:
    $34.29万
  • 财政年份:
    2015
  • 负责人:
    J. Julius Zhu
  • 依托单位:
国内基金
海外基金
分化肌细胞脱细胞ECM-cells sheet 3D 支架构建及其促进容积性肌组织缺损再 生修复应用及机制研究
CAFs-TAMs-tumor cells调控在HRHPV感染致癌中的作用机制研究及AI可追溯预测模型建立
  • 批准号:
    82072862
  • 项目类别:
    面上项目
  • 资助金额:
    56.0万元
  • 批准年份:
    2020
  • 负责人:
    徐云升
  • 依托单位:
S100A8/A9--Myeloid cells特异性可溶性表氧化物水解酶(sEH)基因敲除改善胰岛素抵抗的新靶点
  • 批准号:
    82070825
  • 项目类别:
    面上项目
  • 资助金额:
    53.0万元
  • 批准年份:
    2020
  • 负责人:
    徐西振
  • 依托单位:
Leader cells通过CCL5调控糖酵解及基质硬度促进结直肠癌集体侵袭的 作用机制
  • 批准号:
    81903002
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    20.5万元
  • 批准年份:
    2019
  • 负责人:
    王斐斐
  • 依托单位: