title: Probabilistic density maps to study the spatial organization of endocytosis.
abstract: Despite a large body of publications on endocytosis, only a few studies have focused on its spatial organization. To study how endocytosis is related to distinct cellular sites, we combine cell normalization by the "micropatterning technique" with the quantification of spatial organization by "probabilistic density mapping." Micropatterns of extracellular matrix proteins impose adhesive and non-adhesive areas to cultured cells and allow the control of adhesion geometry, shape, and cell organization. Probabilistic density maps provide a visual summary for 3D localization of the structures of interest and enable the extraction of robust statistics for quantification of cellular organization. Here, we provide a method to analyze and compare the spatial distribution of endocytosed ligands in micropatterned cells. This approach permits to establish the role of cellular adhesion on uptake mechanisms and to address the potential function of predefined sites of endocytosis.
authors.affiliation: Unité Mixte de Recherche, Institut Curie, Paris, France.
authors.forename: Jean-Philippe
authors.initials: JP
authors.lastname: Grossier
authors.forename: Bruno
authors.initials: B
authors.lastname: Goud
authors.forename: Kristine
authors.initials: K
authors.lastname: Schauer
mesh_terms: D002448:Cell Adhesion; D002460:Cell Line; D004705:Endocytosis / Q000502:physiology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008856:Microscopy, Fluorescence / Q000379:methods