Recent Publications (Original)
Organelle landscape analysis using a multi-parametric particle-based method (Kurikawa, Honda et al. PLoS Biol.)
2024.09.17 Recent Publications (Original)
Yoshitaka Kurikawa‡, Ikuko Koyama-Honda‡,*, Norito Tamura, Seiichi Koike, Noboru Mizushima* (‡共同第一著者、*共同責任著者)
Organelle landscape analysis using a multi-parametric particle-based method
PLoS Biol. 2024 Sep 17;22(9):e3002777. doi: 10.1371/journal.pbio.3002777
Organelles have unique structures and molecular compositions for their functions and have been classified accordingly. However, many organelles are heterogeneous and in the process of maturation and differentiation. Because traditional methods have a limited number of parameters and spatial resolution, they struggle to capture the heterogeneous landscapes of organelles. Here, we present a method for multiparametric particle-based analysis of organelles. After disrupting cells, fluorescence microscopy images of organelle particles labeled with 6 to 8 different organelle markers were obtained, and their multidimensional data were represented in two-dimensional uniform manifold approximation and projection (UMAP) spaces. This method enabled visualization of landscapes of 7 major organelles as well as the transitional states of endocytic organelles directed to the recycling and degradation pathways. Furthermore, endoplasmic reticulum–mitochondria contact sites were detected in these maps. Our proposed method successfully detects a wide array of organelles simultaneously, enabling the analysis of heterogeneous organelle landscapes.