Molecular diversity of glutamatergic and GABAergic synapses from multiplexed fluorescence imaging
Author(s)
Danielson, Eric; Perez de Arce, Karen; Cimini, Beth; Wamhoff, Eike-Christian; Singh, Shantanu; Cottrell, Jeffrey R; Carpenter, Anne E; Bathe, Mark; ... Show more Show less
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© 2021 Danielson et al. Neuronal synapses contain hundreds of different protein species important for regulating signal transmission. Characterizing differential expression profiles of proteins within synapses in distinct regions of the brain has revealed a high degree of synaptic diversity defined by unique molecular organization. Multiplexed imaging of in vitro rat primary hippocampal culture models at single synapse resolution offers new opportunities for exploring synaptic reor-ganization in response to chemical and genetic perturbations. Here, we combine 12-color multiplexed fluorescence imaging with quantitative image analysis and machine learning to identify novel synaptic subtypes within excitatory and inhibitory synapses based on the expression profiles of major synaptic components. We characterize differences in the correlated expression of proteins within these subtypes and we examine how the distribution of these synapses is modified following induction of synaptic plasticity. Under chronic suppression of neuronal activity, phenotypic characterization revealed coordinated increases in both excitatory and inhibitory protein levels without changes in the distribution of synaptic subtypes, suggesting concerted events targeting glutamatergic and GABAergic synapses. Our results offer molecular insight into the mechanisms of synaptic plasticity.
Date issued
2020-12Department
Massachusetts Institute of Technology. Department of Biological EngineeringJournal
eNeuro
Publisher
Society for Neuroscience
Citation
Danielson, Eric, Perez de Arce, Karen, Cimini, Beth, Wamhoff, Eike-Christian, Singh, Shantanu et al. 2021. "Molecular diversity of glutamatergic and GABAergic synapses from multiplexed fluorescence imaging." eNeuro, 8 (1).
Version: Final published version
ISSN
2373-2822