Electrophysiological classification of somatostatin-positive interneurons in mouse sensorimotor cortex
Electrophysiological classification of somatostatin-positive interneurons in mouse sensorimotor cortex
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DOI：
10.1152/jn.01079.2005
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发表时间：
2006-08-01
影响因子：
2.5
通讯作者：
Prince, David A.
中科院分区：
文献类型：
--
作者：
Halabisky, Brian;Shen, Fran;Prince, David A.
抑制性中间神经元的分类对于确定它们在正常信息处理以及诸如癫痫等病理生理状况中的作用至关重要。分类方案依赖于形态学、生理学、生物化学和分子标准；并且在放电模式与细胞标志物（如神经肽和钙结合蛋白）之间已显示出明确的相关性。这种分子多样性使得能够产生转基因小鼠品系，其中绿色荧光蛋白（GFP）的表达与这些标志物之一的表达相关联，并且可能与单一的神经元亚型相关。在GIN小鼠（表达增强型绿色荧光蛋白的抑制性神经元）中，海马体和新皮质中含生长抑素的中间神经元的一个亚群被增强型绿色荧光蛋白（EGFP）标记。为了优化GIN小鼠的使用，了解表达生长抑素 - EGFP的中间神经元群体是否同质至关重要。我们基于从全细胞膜片钳记录获得的数据，对46个表达EGFP的中间神经元进行了无监督聚类分析。根据与自发性兴奋性突触后电流（sEPSCs）、放电行为和内在膜特性相关的多个电生理变量对细胞进行分类。表达EGFP的中间神经元是异质的，并且至少可以区分出四个亚组。此外，对全细胞记录期间收集的数据进行了多元判别分析，以开发一种算法来预测新遇到的表达EGFP的中间神经元所属的组。我们的数据基于电生理特性与神经元的异质群体一致，并表明在GIN小鼠中EGFP的表达不限于单一类别的生长抑素阳性中间神经元。
Classification of inhibitory interneurons is critical in determining their role in normal information processing and pathophysiological conditions such as epilepsy. Classification schemes have relied on morphological, physiological, biochemical, and molecular criteria; and clear correlations have been demonstrated between firing patterns and cellular markers such as neuropeptides and calcium-binding proteins. This molecular diversity has allowed generation of transgenic mouse strains in which GFP expression is linked to the expression of one of these markers and presumably a single subtype of neuron. In the GIN mouse (EGFP-expressing Inhibitory Neurons), a subpopulation of somatostatin-containing interneurons in the hippocampus and neocortex is labeled with enhanced green fluorescent protein (EGFP). To optimize the use of the GIN mouse, it is critical to know whether the population of somatostatin-EGFP-expressing interneurons is homogeneous. We performed unsupervised cluster analysis on 46 EGFP-expressing interneurons, based on data obtained from whole cell patch-clamp recordings. Cells were classified according to a number of electrophysiological variables related to spontaneous excitatory postsynaptic currents (sEPSCs), firing behavior, and intrinsic membrane properties. EGFP-expressing interneurons were heterogeneous and at least four subgroups could be distinguished. In addition, multiple discriminant analysis was applied to data collected during whole cell recordings to develop an algorithm for predicting the group membership of newly encountered EGFP-expressing interneurons. Our data are consistent with a heterogeneous population of neurons based on electrophysiological properties and indicate that EGFP expression in the GIN mouse is not restricted to a single class of somatostatin-positive interneuron.