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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Corey Landry
BMED PhD Thesis Proposal Presentation
Date: 12/17/2020
Time: 4-6 PM
Location: BlueJeans (https://bluejeans.com/149465846)
Faculty Advisor:
Dr. Craig Forest
Committee Members:
Dr. Zhexing Wen (Emory University)
Dr. Matt Rowan (Emory University)
Dr. Alysson Muotri (UCSD)
Dr. Yong Zhang (PKU)
Dr. Bilal Haider (GT)
Title: Methods for high throughput single cell analysis throughout intact human brain organoids
Abstract: Understanding how the neurons of the human brain communicate and connect in development and disease is a foundational goal of neuroscience. Human brain organoids, three dimensional spheres of human induced pluripotent stem cells (hiPSCs) have provided a model system that may be able to recreate certain aspects of the developing human brain. Patch clamp recordings represent a gold standard method for measuring neuronal communication at the single cell level, but current methods for patch clamp experiments in human brain organoids are limited for two reasons. First, current techniques lack the throughput and scalability necessary for large scale organoid studies. Second, current techniques rely on acute slice methods, which may damage neurons in an unpredictable way and bias results. Specifically, the aims of this proposal are (1) develop a method for enzymatic cleaning and reuse of patch pipettes, (2) demonstrate patch clamp recordings in intact human brain organoids, and (3) characterize methods of molecular delivery to subsurface organoid neurons. These methods will provide a set of tools for characterization of individual neurons in intact human brain organoids that can be optimized and scaled to meet the needs of this rapidly growing field of neuroscience.
