Nahirney Patrick C, Tremblay Marie-Eve
Division of Medical Sciences, University of Victoria, Victoria, BC, Canada.
Front Cell Dev Biol. 2021 Feb 18;9:629503. doi: 10.3389/fcell.2021.629503. eCollection 2021.
Unraveling the fine structure of the brain is important to provide a better understanding of its normal and abnormal functioning. Application of high-resolution electron microscopic techniques gives us an unprecedented opportunity to discern details of the brain parenchyma at nanoscale resolution, although identifying different cell types and their unique features in two-dimensional, or three-dimensional images, remains a challenge even to experts in the field. This article provides insights into how to identify the different cell types in the central nervous system, based on nuclear and cytoplasmic features, amongst other unique characteristics. From the basic distinction between neurons and their supporting cells, the glia, to differences in their subcellular compartments, organelles and their interactions, ultrastructural analyses can provide unique insights into the changes in brain function during aging and disease conditions, such as stroke, neurodegeneration, infection and trauma. Brain parenchyma is composed of a dense mixture of neuronal and glial cell bodies, together with their intertwined processes. Intracellular components that vary between cells, and can become altered with aging or disease, relate to the cytoplasmic and nucleoplasmic density, nuclear heterochromatin pattern, mitochondria, endoplasmic reticulum and Golgi complex, lysosomes, neurosecretory vesicles, and cytoskeletal elements (actin, intermediate filaments, and microtubules). Applying immunolabeling techniques to visualize membrane-bound or intracellular proteins in neurons and glial cells gives an even better appreciation of the subtle differences unique to these cells across contexts of health and disease. Together, our observations reveal how simple ultrastructural features can be used to identify specific changes in cell types, their health status, and functional relationships in the brain.
阐明大脑的精细结构对于更好地理解其正常和异常功能至关重要。高分辨率电子显微镜技术的应用为我们提供了前所未有的机会,能够在纳米尺度分辨率下辨别脑实质的细节,尽管在二维或三维图像中识别不同细胞类型及其独特特征,即使对于该领域的专家来说仍然是一项挑战。本文基于细胞核和细胞质特征以及其他独特特性,深入探讨了如何识别中枢神经系统中的不同细胞类型。从神经元与其支持细胞(神经胶质细胞)的基本区别,到它们亚细胞区室、细胞器及其相互作用的差异,超微结构分析可以为衰老和疾病状态(如中风、神经退行性变、感染和创伤)期间脑功能的变化提供独特见解。脑实质由神经元和神经胶质细胞体的密集混合物及其相互交织的突起组成。细胞间存在差异且会随衰老或疾病而改变的细胞内成分,涉及细胞质和核质密度、核异染色质模式、线粒体、内质网和高尔基体复合体、溶酶体、神经分泌囊泡以及细胞骨架成分(肌动蛋白、中间丝和微管)。应用免疫标记技术来可视化神经元和神经胶质细胞中膜结合或细胞内的蛋白质,能让我们更好地了解这些细胞在健康和疾病背景下独特的细微差异。总之,我们的观察揭示了如何利用简单的超微结构特征来识别细胞类型的特定变化、它们的健康状况以及大脑中的功能关系。