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  4. High Content Image Analysis Identifies Novel Regulators of Synaptogenesis in a High-Throughput RNAi Screen of Primary Neurons

High Content Image Analysis Identifies Novel Regulators of Synaptogenesis in a High-Throughput RNAi Screen of Primary Neurons

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Author(s)
Logan, David J.
•
Saulnier, Jessica
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Lam, Daniel
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Johnson, Caroline
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Root, David E.
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Carpenter, Anne E.
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Sabatini, Bernardo L.
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Nieland, Thomas J
Date Issued
March 2014
Journal
PLoS ONE
Publisher
Public Library of Science
Citation
Nieland, Thomas J. F., David J. Logan, Jessica Saulnier, Daniel Lam, Caroline Johnson, David E. Root, Anne E. Carpenter, and Bernardo L. Sabatini. “High Content Image Analysis Identifies Novel Regulators of Synaptogenesis in a High-Throughput RNAi Screen of Primary Neurons.” Edited by Lin Mei. PLoS ONE 9, no. 3 (March 14, 2014): e91744.
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Final published version
Abstract
The formation of synapses, the specialized points of chemical communication between neurons, is a highly regulated developmental process fundamental to establishing normal brain circuitry. Perturbations of synapse formation and function causally contribute to human developmental and degenerative neuropsychiatric disorders, such as Alzheimer's disease, intellectual disability, and autism spectrum disorders. Many genes controlling synaptogenesis have been identified, but lack of facile experimental systems has made systematic discovery of regulators of synaptogenesis challenging. Thus, we created a high-throughput platform to study excitatory and inhibitory synapse development in primary neuronal cultures and used a lentiviral RNA interference library to identify novel regulators of synapse formation. This methodology is broadly applicable for high-throughput screening of genes and drugs that may rescue or improve synaptic dysfunction associated with cognitive function and neurological disorders.
MIT Department
Massachusetts Institute of Technology. Department of Biology
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http://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/86091
DOI of Published Version
https://doi.org/10.1371/journal.pone.0091744
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