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Subtype identification in acutely dissociated rat nodose ganglion neurons based on morphologic parameters

机译:基于形态学参数的急性离解大鼠结节神经节神经元亚型鉴定

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摘要

Nodose 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.
机译:结节神经节由A型,Ah型和C型神经元组成。尽管它们在调节内脏传入功能(包括心血管,肺和胃肠稳态)中起着重要作用,但有关亚型特异性表达,分子身份和单个离子转运蛋白功能的信息却很少。尽管利用切片的神经节制备物进行的实验已对结节神经节神经元亚型的电生理特性提供了有价值的见解,但其电表型的详细表征仍需要在分离的细胞中进行测量。然而,一个主要未解决的问题是在没有电流钳记录的情况下难以明确地识别孤立的结节神经节神经元的亚型的困难,因为相应传入纤维中传导速度的大小不再可靠,它是就地区分亚型的可靠标记。被确定。在这里,我们提供的数据支持这样一种观念,即将算法应用于微观结构特征(例如,通过最短轴和最长轴之间的比率评估的神经元形状,神经元表面特征(如膜粗糙度和轴突附着))可以实现特定且敏感的亚型鉴定急性解离的大鼠结节神经节神经元,通过电生理标志物进一步验证了鉴定的准确性,总体阳性预测率为89.26%(A型,Ah和C型分别为90.04%,76.47%和98.21%,分别)。这种方法应有助于深入了解结节神经节表型异质性的分子相关性。此外,还讨论了一些有助于神经元识别和传入传导校准的关键点。

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