Subtype Identification in Acutely Dissociated Rat Nodose Ganglion Neurons Based on Morphologic Parameters

dc.contributor.authorLu, Xiao-Long
dc.contributor.authorXu, Wen-Xiao
dc.contributor.authorYan, Zhen-Yu
dc.contributor.authorQian, Zhao
dc.contributor.authorXu, Bing
dc.contributor.authorLiu, Yang
dc.contributor.authorHan, Li-Min
dc.contributor.authorGao, Rui-Chen
dc.contributor.authorLi, Jun-Nan
dc.contributor.authorYuan, Mei
dc.contributor.authorZhao, Chong-Bao
dc.contributor.authorQiao, Guo-fen
dc.contributor.authorLi, Bai-Yan
dc.contributor.departmentPediatrics, School of Medicine
dc.date.accessioned2025-05-05T08:35:29Z
dc.date.available2025-05-05T08:35:29Z
dc.date.issued2013-07-27
dc.description.abstractNodose ganglia are composed of A-, Ah- and C-type neurons. Despite their important roles in regulating visceral afferent function, including cardiovascular, pulmonary, and gastrointestinal homeostasis, information about subtype-specific expression, molecular identity, and function of individual ion transporting proteins is scarce. Although experiments utilizing the sliced ganglion preparation have provided valuable insights into the electrophysiological properties of nodose ganglion neuron subtypes, detailed characterization of their electrical phenotypes will require measurements in isolated cells. One major unresolved problem, however, is the difficulty to unambiguously identify the subtype of isolated nodose ganglion neurons without current-clamp recording, because the magnitude of conduction velocity in the corresponding afferent fiber, a reliable marker to discriminate subtypes in situ, can no longer be determined. Here, we present data supporting the notion that application of an algorithm regarding to microscopic structural characteristics, such as neuron shape evaluated by the ratio between shortest and longest axis, neuron surface characteristics, like membrane roughness, and axon attachment, enables specific and sensitive subtype identification of acutely dissociated rat nodose ganglion neurons, by which the accuracy of identification is further validated by electrophysiological markers and overall positive predictive rates is 89.26% (90.04%, 76.47%, and 98.21% for A-, Ah, and C-type, respectively). This approach should aid in gaining insight into the molecular correlates underlying phenotypic heterogeneity of nodose ganglia. Additionally, several critical points that help for neuron identification and afferent conduction calibration are also discussed.
dc.eprint.versionFinal published version
dc.identifier.citationLu XL, Xu WX, Yan ZY, et al. Subtype identification in acutely dissociated rat nodose ganglion neurons based on morphologic parameters. Int J Biol Sci. 2013;9(7):716-727. Published 2013 Jul 27. doi:10.7150/ijbs.7006
dc.identifier.urihttps://hdl.handle.net/1805/47690
dc.language.isoen_US
dc.publisherIvyspring
dc.relation.isversionof10.7150/ijbs.7006
dc.relation.journalInternational Journal of Biological Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcePMC
dc.subjectVisualization
dc.subjectVisceral sensory neuron
dc.subjectConduction velocity
dc.subjectWhole-cell patch
dc.subjectAction potential
dc.titleSubtype Identification in Acutely Dissociated Rat Nodose Ganglion Neurons Based on Morphologic Parameters
dc.typeArticle
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