Browne Tyler J, Gradwell Mark A, Iredale Jacqueline A, Madden Jessica F, Callister Robert J, Hughes David I, Dayas Christopher V, Graham Brett A
School of Biomedical Sciences & Pharmacy, Faculty of Health, University of Newcastle, New Lambton Heights, NSW, Australia.
Hunter Medical Research Institute (HMRI), Callaghan, NSW, Australia.
Front Mol Neurosci. 2020 Apr 17;13:32. doi: 10.3389/fnmol.2020.00032. eCollection 2020.
The superficial dorsal horn (SDH, LI-II) of the spinal cord receives and processes multimodal sensory information from skin, muscle, joints, and viscera then relay it to the brain. Neurons within the SDH fall into two broad categories, projection neurons and interneurons. The later can be further subdivided into excitatory and inhibitory types. Traditionally, interneurons within the SDH have been divided into overlapping groups according to their neurochemical, morphological and electrophysiological properties. Recent clustering analyses, based on molecular transcript profiles of cells and nuclei, have predicted many more functional groups of interneurons than expected using traditional approaches. In this study, we used electrophysiological and morphological data obtained from genetically-identified excitatory (vGLUT2) and inhibitory (vGAT) interneurons in transgenic mice to cluster cells into groups sharing common characteristics and subsequently determined how many clusters can be assigned by combinations of these properties. Consistent with previous reports, we show differences exist between excitatory and inhibitory interneurons in terms of their excitability, nature of the ongoing excitatory drive, action potential (AP) properties, sub-threshold current kinetics, and morphology. The resulting clusters based on statistical and unbiased assortment of these data fell well short of the numbers of molecularly predicted clusters. There was no clear characteristic that in isolation defined a population, rather multiple variables were needed to predict cluster membership. Importantly though, our analysis highlighted the appropriateness of using transgenic lines as tools to functionally subdivide both excitatory and inhibitory interneuron populations.
脊髓背角浅层(SDH,I-II层)接收并处理来自皮肤、肌肉、关节和内脏的多模态感觉信息,然后将其传递至大脑。SDH内的神经元可分为两大类,即投射神经元和中间神经元。后者可进一步细分为兴奋性和抑制性类型。传统上,SDH内的中间神经元已根据其神经化学、形态学和电生理特性被分为重叠的组。最近基于细胞和细胞核分子转录谱的聚类分析预测的中间神经元功能组比使用传统方法预期的要多得多。在本研究中,我们使用从转基因小鼠中基因鉴定的兴奋性(vGLUT2)和抑制性(vGAT)中间神经元获得的电生理和形态学数据,将细胞聚类为具有共同特征的组,随后确定通过这些特性的组合可以划分出多少个簇。与先前的报告一致,我们表明兴奋性和抑制性中间神经元在兴奋性、持续兴奋性驱动的性质、动作电位(AP)特性、阈下电流动力学和形态方面存在差异。基于这些数据的统计和无偏分类所得到的簇远少于分子预测的簇数量。没有单一的明确特征可以定义一个群体,而是需要多个变量来预测簇成员身份。然而,重要的是,我们的分析强调了使用转基因品系作为功能性细分兴奋性和抑制性中间神经元群体的工具的适用性。