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Fusion of Secretory Vesicles with the Plasma Membrane01:26

Fusion of Secretory Vesicles with the Plasma Membrane

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Proteins and neurotransmitters in secretory vesicles can be released from a cell upon vesicle docking, priming, and fusion with the plasma membrane. Vesicles are docked and primed in preparation for the quick exocytosis of their contents in response to a stimulus. The fusion process is mainly carried out by a SNAP Receptor or SNARE complex, consisting of synaptobrevin, syntaxin-1, and SNAP-25.
In 1993, Jim Rothman proposed that the antiparallel pairing of vesicular and transmembrane SNAREs, or...
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相关实验视频

Updated: Jun 4, 2025

Subcellular Fractionation for the Isolation of Synaptic Components from the Murine Brain
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为了蛋白质学,从神经圈中分离突触囊泡.

Caroline Brandão-Teles1, Giuliana S Zuccoli1, Marcelo Ganzella2

  • 1Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, Brazil.

Methods in molecular biology (Clifton, N.J.)
|December 23, 2024
PubMed
概括
此摘要是机器生成的。

这项研究详细介绍了一种新方法,从人类干细胞衍生的神经元中分离突触囊泡 (SVs). 优化的协议可以进行详细的蛋白质组分析,以了解神经系统疾病.

关键词:
神经干细胞的神经干细胞神经圈的神经圈蛋白质组学是指蛋白质组学.突触囊泡中的突触囊泡.囊泡隔离的隔离方法

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Preparation of Synaptoneurosomes from Mouse Cortex using a Discontinuous Percoll-Sucrose Density Gradient
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Preparation of Synaptoneurosomes from Mouse Cortex using a Discontinuous Percoll-Sucrose Density Gradient

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Brain Membrane Fractionation: An Ex Vivo Approach to Assess Subsynaptic Protein Localization
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Brain Membrane Fractionation: An Ex Vivo Approach to Assess Subsynaptic Protein Localization

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相关实验视频

Last Updated: Jun 4, 2025

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科学领域:

  • 神经科学是一个神经科学.
  • 干细胞生物学 干细胞生物学
  • 蛋白质组学是指蛋白质组学.

背景情况:

  • 突触囊泡 (SVs) 对于神经元通信至关重要.
  • 了解SV的分子组成对于神经学研究至关重要.
  • 目前用于从人类诱导的多能干细胞 (hiPSCs) 来隔离 SV 的方法可以得到改进.

研究的目的:

  • 开发和优化一个协议,以从hiPSC衍生的神经圈中分离突触囊泡 (SVs).
  • 为了使SVs的功能研究能够进行详细的蛋白质组分析.
  • 促进对神经和神经精神疾病的研究.

主要方法:

  • 培养hiPSC衍生的神经圈以获得成熟的神经元.
  • 隔离来自神经圈的突触体.
  • 通过微分离心法丰富SVs.
  • 使用纳米液体染色学与双重质谱学 (nanoLC-MS/MS) 结合使用蛋白质分子分析.

主要成果:

  • 成功地从hiPSC衍生的神经圈中分离和丰富突触囊泡.
  • 生成分离的SVs的详细蛋白质组概况.
  • 展示一个强大的SV分析协议.

结论:

  • 优化的协议为研究SV分子异质性提供了有价值的工具.
  • 这种方法可以促进对神经递质吸收和释放机制的理解.
  • 该协议在神经学和神经精神疾病研究中具有显著的潜在应用.