Feedback and Crosstalk in Eukaryotic Chemotaxis

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DESCRIPTION (provided by applicant): Chemotaxis occurs during a number of physiological events including angiogenesis, embryonic development, wound healing, immune defense, and the establishment of neuronal circuits. Accordingly, eukaryotic chemotaxis has been a topic of key interest in cell biology and pathophysiology. The objective of our research is to explore a long-standing conundrum in the field: How do cells "break symmetry" to initiate cell migration? To address this question, we will focus on two signaling modules that remain uncharacterized: "Feedback" and "Crosstalk". Experimental dissection of these modules has proven inherently challenging, because their signaling operation in cells is local (sub-cellular) and rapid (second-to-minute) on top of their intimate intra- and inter-module relationships. The experimental perturbation of component molecules thus must be restricted to precise spatial domains and be faster than the signaling events. However, most tools used to probe signaling events are generally slow (minute- to-day) and global (supra-cellular) in their effects, limiting their usefulness. We previously developed a new generation of molecular tools that allows for Rapid, Inducible and Specific Perturbation (RISP) of various proteins in living cells. In order to decipher the kinetics and dynamics of molecular networks within the modules with high spatio-temporal resolution, we employ two different approaches: 1. operating the RISP in microfluidic device and 2. improving the present RISP by using synthetic photo- chemistry knowledge. These experimentations will allow us to determine whether and how the elementary signaling modules are integrated to orchestrate an intricate symmetry breaking process. A better understanding of the chemotaxis promises therapeutic advancements for cell migration-related diseases. Our unique approach for probing cellular dynamics will also provide a general-and-powerful methodology that has the potential to significantly extend conventional methods such as RNA interference and pharmacology.