PROJECT SUMMARYCell signaling is the process by which cells communicate with each other and with their environments and itsregulation is critically important to maintaining homeostasis at the tissue, organ, and organism level. Becauseaberrant signal transduction underlies the pathogenesis of most diseases, the study of cell signaling hasbecome a central part of cell and molecular biology research. However, current methodologies to analyze cellsignaling suffer from multiple technical limitations. For example, signaling pathways are traditionally analyzedusing biochemical methods that average measurements obtained across thousands of cells simultaneously,providing an impression of the global signaling landscape that ignores underlying cell-to-cell variability, as wellas dynamic localizations and translocations of the molecular mediators. While fluorescence microscopy hasthe potential to overcome this limitation by enabling real-time observations of rapid molecular events at sub-micron resolution, these methods do not provide sufficient sensitivity or signal stability to observe discretesingle-molecule events. Recently, our ability to image cellular processes has been transformed by single-molecule imaging due to advances in fluorescent quantum dot probes and bioorthogonal labeling chemistries.Simultaneously, advanced cell engineering tools like CRISPR/Cas9 and micropatterning now allow us toprecisely control cellular genotype and morphology to facilitate imaging of single proteins in a native cellularcontext. These technologies have matured individually and we propose that they are now primed to be appliedas a cohesive suite of tools for precise mapping and analysis of cell signaling. As such, the goal of thisproposal is to develop and validate three technologies that in combination will enable intracellular single-molecule analysis including (1) QD labels for intracellular imaging of molecular processes, (2) native proteintagging through gene editing for efficient conjugation, and (3) automated image analysis algorithms optimizedto spatially map processes in micropatterned cells across different time scales and registered intracellularlocations. We anticipate that by simultaneously advancing these technologies, we will create a novel platformto study cell signaling in living cells with single-molecule resolution in real-time. We will accomplish ourobjectives through the collaborative work of a multidisciplinary team integrated by Dr. Andrew Smith, who is anexpert in optical probe engineering and imaging, and Dr. Pablo Perez-Pinera, who has extensive expertise ingene editing and genome engineering. Their laboratories have been working together for years to initiate thework described in this application. Conceptually, this platform is a revolutionary method to analyze cellsignaling and, therefore, it will not only improve our understanding of essential biological processes, but canalso enable the development of therapeutics that target these pathways with unprecedented precision andefficacy.