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Structural and developmental principles of neuropil assembly in C. elegans

机译:C.秀丽隐杆线虫神经胆硅组件的结构和发育原理

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摘要

Neuropil is a fundamental form of tissue organization within the brain(1), in which densely packed neurons synaptically interconnect into precise circuit architecture(2,3). However, the structural and developmental principles that govern this nanoscale precision remain largely unknown(4,5). Here we use an iterative data coarse-graining algorithm termed 'diffusion condensation'(6) to identify nested circuit structures within the Caenorhabditis elegans neuropil, which is known as the nerve ring. We show that the nerve ring neuropil is largely organized into four strata that are composed of related behavioural circuits. The stratified architecture of the neuropil is a geometrical representation of the functional segregation of sensory information and motor outputs, with specific sensory organs and muscle quadrants mapping onto particular neuropil strata. We identify groups of neurons with unique morphologies that integrate information across strata and that create neural structures that cage the strata within the nerve ring. We use high resolution light-sheet microscopy(7,8) coupled with lineage-tracing and cell-tracking algorithms(9,10) to resolve the developmental sequence and reveal principles of cell position, migration and outgrowth that guide stratified neuropil organization. Our results uncover conserved structural design principles that underlie the architecture and function of the nerve ring neuropil, and reveal a temporal progression of outgrowth-based on pioneer neurons-that guides the hierarchical development of the layered neuropil. Our findings provide a systematic blueprint for using structural and developmental approaches to understand neuropil organization within the brain.
机译:Neuropil是大脑(1)内的组织组织的基本形式,其中密集的神经元突触地互连到精确的电路架构(2,3)中。然而,控制该纳米级精度的结构和发育原理仍然很大程度上未知(4,5)。在这里,我们使用被称为“扩散凝结”(6)的迭代数据粗晶算法,以识别Caenorhabdise秀丽隐杆线虫神经核素内的嵌套电路结构,称为神经环。我们表明神经环神经潜入主要组织成由相关行为电路组成的四个层。神经疏松的分层结构是感官信息和电动机输出的功能分离的几何表示,具有特定的感官器官和肌肉象限映射到特定的神经层层。我们鉴定了具有独特形态的神经元组,可将信息整合在地层上,并产生神经振铃内的地层的神经结构。我们使用高分辨率的光纸显微镜(7,8)与谱系跟踪和细胞跟踪算法(9,10)耦合,以解决发育序列,并揭示指导分层神经玻璃组织的细胞位置,迁移和产物的原理。我们的成果揭示了神经环神经罗基锆的建筑和功能的保守结构设计原则,并揭示了基于先驱神经元的产出的时间进展 - 引导分层神经尿的分层发展。我们的调查结果提供了一种系统的蓝图,用于使用结构和发育方法来了解大脑内的神经潜能组织。

著录项

  • 来源
    《Nature》 |2021年第7848期|99-104|共6页
  • 作者单位

    Yale Univ Sch Med Dept Neurosci New Haven CT 06520 USA|Yale Univ Sch Med Dept Cell Biol New Haven CT 06510 USA;

    Sloan Kettering Inst Dev Biol Program New York NY USA;

    Yale Univ Sch Med Dept Genet New Haven CT 06510 USA;

    Yale Univ Sch Med Dept Genet New Haven CT 06510 USA;

    Yale Univ Sch Med Dept Neurosci New Haven CT 06520 USA|Yale Univ Sch Med Dept Cell Biol New Haven CT 06510 USA;

    Yale Univ Sch Med Dept Neurosci New Haven CT 06520 USA|Yale Univ Sch Med Dept Cell Biol New Haven CT 06510 USA;

    Yale Univ Sch Med Dept Neurosci New Haven CT 06520 USA|Yale Univ Sch Med Dept Cell Biol New Haven CT 06510 USA;

    Natl Inst Biomed Imaging & Bioengneering Lab High Resolut Opt Imaging NIH Bethesda MD USA;

    Sloan Kettering Inst Dev Biol Program New York NY USA;

    Natl Inst Biomed Imaging & Bioengneering Lab High Resolut Opt Imaging NIH Bethesda MD USA;

    Marine Biol Lab Woods Hole MA 02543 USA;

    Utah State Univ Dept Math & Stat Logan UT 84322 USA;

    Univ Montreal Dept Math & Stat Montreal PQ Canada;

    Yale Univ Sch Med Dept Genet New Haven CT 06510 USA;

    Sloan Kettering Inst Dev Biol Program New York NY USA;

    Natl Inst Biomed Imaging & Bioengneering Lab High Resolut Opt Imaging NIH Bethesda MD USA|Marine Biol Lab Woods Hole MA 02543 USA;

    Univ Connecticut Ctr Hlth Dept Genet & Genome Sci Farmington CT USA|Univ Connecticut Ctr Hlth Ctr Cell Anal & Modeling Farmington CT USA;

    Yale Univ Sch Med Dept Neurosci New Haven CT 06520 USA|Yale Univ Sch Med Dept Cell Biol New Haven CT 06510 USA|Univ Puerto Rico Inst Neurobiol Recinto Ciencias Med San Juan PR 00936 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-19 00:55:42

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