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使用邻近标记法研究神经元亚区室的分子组成。

Investigating the Molecular Composition of Neuronal Subcompartments Using Proximity Labeling.

作者信息

Lohse Mareike, Sun Siqi, Fiosins Maksims, Bonn Stefan, Zamorano Pedro, Jahn Olaf, Lipstein Noa

机构信息

Synapse Biology Group, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany.

Department of Molecular Neurobiology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.

出版信息

Methods Mol Biol. 2025;2910:105-125. doi: 10.1007/978-1-0716-4446-1_7.

Abstract

The expression pattern of proteins defines the range of biological processes in cellular subcompartments. A core aim in cell biology is therefore to determine the localization and composition of protein complexes within cells. Proximity labeling methodologies offer an unbiased and efficient way to unravel the cellular micro-environment of proteins, providing insights into the molecular networks they participate in. In this chapter, we present a protocol for conducting proximity labeling experiments in primary murine neuronal cultures in vitro based on the proximity-dependent biotinylation identification (BioID) approach. Data acquired through this protocol can be utilized to identify the composition of protein complexes in neurons and to create molecular maps of neuronal subcompartments. This will aid in determining the spatial distribution of biological processes within neurons, and in unraveling fundamental principles of neuronal function and plasticity.

摘要

蛋白质的表达模式决定了细胞亚区室中生物过程的范围。因此,细胞生物学的一个核心目标是确定细胞内蛋白质复合物的定位和组成。邻近标记方法提供了一种无偏见且高效的方式来揭示蛋白质的细胞微环境,从而深入了解它们所参与的分子网络。在本章中,我们基于邻近依赖性生物素化鉴定(BioID)方法,介绍一种在体外原代小鼠神经元培养物中进行邻近标记实验的方案。通过该方案获得的数据可用于鉴定神经元中蛋白质复合物的组成,并创建神经元亚区室的分子图谱。这将有助于确定神经元内生物过程的空间分布,并有助于揭示神经元功能和可塑性的基本原理。

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