Jacquemet Guillaume
Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
Faculty of Science and Engineering, Biosciences, Åbo Akademi University, Turku, Finland.
Methods Mol Biol. 2023;2608:51-61. doi: 10.1007/978-1-0716-2887-4_4.
Filopodia are fingerlike membrane protrusions extended by cells to sense their environment. Filopodia are widely used by migrating cells in vivo and directly contribute to several physiological processes and diseases. Due to the essential roles of filopodia in sensing the extracellular environment, there is a need to characterize their composition and ultrastructure further. This chapter highlights FiloMap, an image analysis pipeline that utilizes Fiji and R to map the localization of proteins within filopodia from microscopy images. I provide step-by-step protocols on (a) setting up FiloMap in Fiji and R, (b) extracting line intensity profiles from filopodia stainings in Fiji, (c) further analyzing line intensity profiles in R, and (d) creating filopodia maps to compare the localization of multiple proteins within filopodia. Notably, while FiloMap was written to analyze filopodia, the analysis pipeline described here can also analyze and compile any line intensity profiles.
丝状伪足是细胞伸出的手指状膜突出物,用于感知其周围环境。丝状伪足在体内被迁移细胞广泛使用,并直接参与多种生理过程和疾病的发生。由于丝状伪足在感知细胞外环境中起着重要作用,因此有必要进一步表征其组成和超微结构。本章重点介绍FiloMap,这是一种图像分析流程,利用Fiji和R从显微镜图像中绘制丝状伪足内蛋白质的定位图。我提供了分步方案,包括(a)在Fiji和R中设置FiloMap,(b)从Fiji中的丝状伪足染色中提取线强度轮廓,(c)在R中进一步分析线强度轮廓,以及(d)创建丝状伪足图以比较丝状伪足内多种蛋白质的定位。值得注意的是,虽然编写FiloMap是为了分析丝状伪足,但这里描述的分析流程也可以分析和编译任何线强度轮廓。