Fig. 2: High-resolution protein localization atlas.
From: Self-supervised deep learning encodes high-resolution features of protein subcellular localization
Each point corresponds to a single image from our test dataset of 109,751 images. To reveal the underlying structure of our map, each point in the central UMAP is colored according to 11 distinct protein localization categories (mitochondria, vesicles, nucleoplasm, cytoplasm, nuclear membrane, ER, nucleolus, Golgi, chromatin domain). These categories are expanded in the surrounding circles. Tight clusters corresponding to functionally defined protein complexes can be identified within each localization category. Only proteins with a clear and exclusive localization pattern are colored, gray points correspond to proteins with other or mixed localizations. Within each localization category, the resolution of cytoself representations is further illustrated by labeling the images corresponding to individual proteins in different colors (dashed circular inserts). Note that while the colors in the central UMAP represent different cellular territories, colors in the inserts are only used to delineate individual proteins, and do not correspond to the colors used in the main UMAP. The list of annotated proteins and the subunits of each complex are indicated in Supplementary Files 2 and 5, respectively.
