Genetic indicators for dynamic imaging of neuronal signaling in plasticity and de

University Of Pennsylvania, Philadelphia PA

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Abstract

DESCRIPTION (provided by applicant): During the past decade stunning advances have been made in imaging, molecular biology and biochemistry that enable the visualization of the behavior of single proteins in vivo. Here, I propose to develop and visualize the temporal and spatial dynamics of intracellular signaling within living neurons. Much as early work in calcium imaging redefined our understanding of the importance of calcium influx by defining its spatial and temporal characteristics, I believe visualizing the spatial and temporal dynamics of intracellular signaling will have similar benefits to our understanding of the nervous system. Initially we have developed indicators that enable visualization of one of the key first steps in many intracellular signaling cascades: tyrosine phosphorylation. During the past several years, we have developed a system that relies on ratiometric imaging of changes in a genetically encoded fluorescent indicator of phosphorylation. We now propose three specific aims to develop these tools into a system for monitoring signaling during neuronal plasticity and development. We propose to: 1) Develop a library of indicators targeted to report activity of specific kinases;2) Develop indicators that localize to specific cellular compartments;3) Develop indicators to report activity of multiple signaling molecules simultaneously. Using our indicators, workers will be able to elucidate the dynamics of signals that underlie synaptic plasticity. Thus, our tools will enable novel insights into essential mechanisms that underlie neuronal plasticity. PUBLIC HEALTH RELEVANCE: Project Narrative Neuronal plasticity underlies many fundamental functions within the brain, while abnormal neuronal plasticity is associated with disease. Excessive plasticity may underlie diseases like epilepsy and addiction, while defects in plasticity could play important roles in epilepsy, neurodegenerative, and autism spectrum disorders. Our research will have broad impacts across all these levels by developing new tools to visualize dynamic neuronal signaling with subcellular resolution.