Rapid developments in live-cell three-dimensional (3D) microscopy enable imaging of cell morphology and signaling with unprecedented detail. However, tools to systematically measure and visualize the intricate relationships between intracellular signaling, cytoskeletal organization and downstream cell morphological outputs do not exist. Here, we introduce u-shape3D, a computer graphics and machine-learning pipeline to probe molecular mechanisms underlying 3D cell morphogenesis and to test the intriguing possibility that morphogenesis itself affects intracellular signaling. We demonstrate a generic morphological motif detector that automatically finds lamellipodia, filopodia, blebs and other motifs. Combining motif detection with molecular localization, we measure the differential association of PIP2 and KrasV12 with blebs. Both signals associate with bleb edges, as expected for membrane-localized proteins, but only PIP2 is enhanced on blebs. This indicates that subcellular signaling processes are differentially modulated by local morphological motifs. Overall, our computational workflow enables the objective, 3D analysis of the coupling of cell shape and signaling.
Mixed reality could revolutionize the way we learn about human body— Ronald van Loon (@Ronald_vanLoon) October 7, 2019
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ArtificialIntelligence #AI #Healthcare #MachineLearning #ML #BigData #DataScientist #DataScience pic.twitter.com/18oX6816hq pic.twitter.com/Vy8tEVSGA2 pic.twitter.com/4GqSG4aNQJ https://t.co/u5lKDmJlkL pic.twitter.com/lGFj5usfXP