Scientific Reports · 2019 · 204 citations · 50 references
Life SciencesNeurobiologyNeuroscienceCellular NeurobiologyCellular NeuroscienceNeural EngineeringExtracellular MatrixExtracellular Matrix BiochemistryExtracellular Matrix BiologyNervous TissueNeural BiomaterialsNeuronal Cell BiologyBiocompatibility Of Electrode ArraysBiomaterial - Cell InteractionsBrain Tissue EngineeringElectrode Array PlacementExtracellular Matrix In Neural TissueExtracellular Matrix ProteoglycansNeuronal Cell CultureTissue-specific Extracellular Matrix Composition
The brain's extracellular matrix (ECM) is a macromolecular network composed of glycosaminoglycans, proteoglycans, glycoproteins, and fibrous proteins. In vitro studies often use purified ECM proteins for cell culture coatings, however these may not represent the molecular complexity and heterogeneity of the brain's ECM. To address this, we compared neural network activity (over 30 days in vitro) from primary neurons co-cultured with glia grown on ECM coatings from decellularized brain tissue (bECM) or MaxGel, a non-tissue-specific ECM. Cells were grown on a multi-electrode array (MEA) to enable noninvasive long-term interrogation of neuronal networks. In general, the presence of ECM accelerated the formation of networks without affecting the inherent network properties. However, specific features of network activity were dependent on the type of ECM: bECM enhanced network activity over a greater region of the MEA whereas MaxGel increased network burst rate associated with robust synaptophysin expression. These differences in network activity were not attributable to cellular composition, glial proliferation, or astrocyte phenotypes, which remained constant across experimental conditions. Collectively, the addition of ECM to neuronal cultures represents a reliable method to accelerate the development of mature neuronal networks, providing a means to enhance throughput for routine evaluation of neurotoxins and novel therapeutics.
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Finding and evaluating community structure in networks
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