Expansion Microscopy Application for Calcium Protein Clustering Imaging in Cells and Brain Tissues

扩展显微镜在细胞和脑组织中钙蛋白聚集成像中的应用

阅读:9
作者:Anastasiya Rakovskaya, Margarita Chigriai, Ilya Bezprozvanny, Ekaterina Pchitskaya

Abstract

Many biological studies require high-resolution imaging and subsequent analysis of cell organelles and molecules. Some membrane proteins form tight clusters, and this process is directly linked to their function. In most studies, these small protein clusters have been investigated by total internal reflection fluorescence (TIRF) microscopy, which enables imaging with high spatial resolution within 100 nm of the membrane surface. Recently developed expansion microscopy (ExM) makes it possible to achieve nanometer resolution using a conventional fluorescence microscope by physically expanding the sample. In this article, we describe implementation of ExM for imaging of protein clusters formed by the endoplasmic reticulum (ER) calcium sensor protein STIM1. This protein translocates during ER store depletion and forms clusters that support contact with plasma membrane (PM) calcium-channel proteins. ER calcium channels such as the type 1 inositol triphosphate receptor (IP3R) also form clusters, but their investigation by TIRF microscopy is impossible due to the large distance from the PM. In this article, we demonstrate how to investigate IP3R clustering using ExM in hippocampal brain tissues. We compare IP3R clustering in the CA1 area of the hippocampus of wild-type and 5xFAD Alzheimer's disease model mice. To facilitate future applications, we describe experimental protocols and image processing guidelines for application of ExM to membrane and ER protein clustering studies in cultured cells and brain tissues. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Expansion microscopy application for protein cluster visualization in cells Alternate Protocol: Expansion microscopy application for protein cluster visualization in brain tissues Basic Protocol 2: Protein cluster analysis of expansion microscopy images using ImageJ and Icy software.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。