2020
DOI: 10.1101/2020.04.07.030866
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Subthreshold Voltage Analysis Demonstrates Neuronal Cell-Surface Sialic Acids Modulate Excitability and Network Integration

Abstract: All neurons are covered in a thick layer of carbohydrates called glycans. Glycans are modified during neurological processes and are thought to play a role in neuronal communication. We develop a voltage imaging platform for analyzing functional connectivity changes using simultaneous voltage recordings in small populations of neurons. We validate this platform using a culture model of development as well as with several pharmacological interventions. Using this platform, we show that ablation of SNA-binding g… Show more

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Cited by 4 publications
(12 citation statements)
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“…Our lab has recently demonstrated that desialylation of primary neurons in culture by the highly promiscuous Arthrobacter ureafaciens (Au) sialidase results in decreased cell surface sialic acids and neuronal network integration. 21 We hypothesized that Neu3 would have a similar effect. To assay this, we performed voltage imaging of primary neurons in culture using BeRST1, 38 a membrane-localized voltage-sensitive fluorophore ( Figure 3 a,b).…”
Section: Resultsmentioning
confidence: 99%
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“…Our lab has recently demonstrated that desialylation of primary neurons in culture by the highly promiscuous Arthrobacter ureafaciens (Au) sialidase results in decreased cell surface sialic acids and neuronal network integration. 21 We hypothesized that Neu3 would have a similar effect. To assay this, we performed voltage imaging of primary neurons in culture using BeRST1, 38 a membrane-localized voltage-sensitive fluorophore ( Figure 3 a,b).…”
Section: Resultsmentioning
confidence: 99%
“…This technique enables simultaneous high-quality measurements of membrane potential in larger groups of neurons compared to traditional electrophysiology, enabling studies of network connectivity by comparing when multiple neurons in a given field of view fire . We have previously used this method in combination with factor analysis to quantify neuronal network connectivity as the “shared variance” of the network . In brief, the covariance in the firing activity of measured neurons may reflect variation in synaptic input (factors), while unexplained variance reflects the fraction of the neuron’s activity that arises spontaneously.…”
Section: Resultsmentioning
confidence: 99%
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