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作为用于冷冻电子断层扫描的模型系统的神经元。

Neurons as a model system for cryo-electron tomography.

作者信息

Zuber Benoît, Lučić Vladan

机构信息

Institute of Anatomy, University of Bern, Bern 3012, Switzerland.

Max-Planck-Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany.

出版信息

J Struct Biol X. 2022 Mar 9;6:100067. doi: 10.1016/j.yjsbx.2022.100067. eCollection 2022.

Abstract

Cryo-electron tomography (Cryo-ET) provides unique opportunities to image cellular components at high resolution in their native state and environment. While many different cell types were investigated by cryo-ET, here we review application to neurons. We show that neurons are a versatile system that can be used to investigate general cellular components such as the cytoskeleton and membrane-bound organelles, in addition to neuron-specific processes such as synaptic transmission. Furthermore, the synapse provides a rich environment for the development of cryo-ET image processing tools suitable to elucidate the functional and spatial organization of compositionally and morphologically heterogeneous macromolecular complexes involved in biochemical signaling cascades, within their native, crowded cellular environments.

摘要

冷冻电子断层扫描(Cryo-ET)为在天然状态和环境下以高分辨率对细胞成分进行成像提供了独特的机会。虽然通过冷冻电子断层扫描研究了许多不同的细胞类型,但在此我们回顾其在神经元中的应用。我们表明,神经元是一个多功能系统,除了可用于研究诸如突触传递等神经元特异性过程外,还可用于研究一般的细胞成分,如细胞骨架和膜结合细胞器。此外,突触为开发冷冻电子断层扫描图像处理工具提供了丰富的环境,这些工具适用于阐明参与生化信号级联反应的组成和形态异质大分子复合物在其天然、拥挤的细胞环境中的功能和空间组织。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af8c/8924422/e42b4f9f6772/ga1.jpg

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