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  3. Spying on neuromodulation by constructing new genetically-encoded indicators
YulongLI_spying_neuromodulation (2).jpg
McGovern Institute for Brain Research
Special Seminar

Spying on neuromodulation by constructing new genetically-encoded indicators

Speaker(s)
Yulong Li, McGovern Institute at PKU
Add to CalendarAmerica/New_YorkSpying on neuromodulation by constructing new genetically-encoded indicators04/03/2018 7:00 pm04/03/2018 8:00 pmSingleton Auditorium 46-3002
April 3, 2018
7:00 pm - 8:00 pm
Location
Singleton Auditorium 46-3002
Contact
Catherine Nunziata
    Description

    Research Interests: The human brain consists of billions of neurons, including thousands of cell types, connected to form networks by trillions of synapses. The interplay between distinct neuronal types through synapses by long range projections and short range local connections leads to cognitive brain functions such as perception, decision making and motor control. Neuromodulators control brain function by selectively recruiting or disengaging defined population of neurons through cell type-specific regulation of transmitter release, membrane excitability or both. The complex action of neuromodulators, the diversified neuronal cell types and the sophisticated anatomy of the brain together pose huge technical challenges for neuroscientists seeking to unravel the actions of neuromodulators within local circuitry. To overcome these problems, we are interested in developing a new palette of biosensors that can be used to visualize turnover of various neuromodulators. In addition, we are developing a novel genetically-encoded fluorescent detection platform that would enable the visualization of target activation by various neuromodulators in real time. Together, these efforts will not only yield new insights into the secretion and activation of neuromodulators with good spatial and temporal resolution, but also provide a novel fluorescent toolbox to the neuroscience community at large, enabling them to visualize their favorite neural circuit with cellular and synaptic specificity that is currently lacking.

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