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Inhibitory interneuron classes express complementary AMPA-receptor patterns in macaque primary visual cortex

机译:抑制性中间神经元类在猕猴初级视觉皮层中表达互补的AMPA受体模式

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摘要

Glutamate receptors mediate excitatory neurotransmission. A very prevalent type of glutamate receptor in the neocortex is the AMPA receptor (AMPAR). AMPARs mediate fast synaptic transmission and their functionality depends on the subunit composition. In primary visual cortex (area V1), the density and subunit composition of AMPARs differ among cortical layers and among cell types. The AMPARs expressed by the different types of inhibitory interneurons, which are crucial for network function, have not yet been characterized systematically. We investigated the distribution of AMPAR subunits in macaque V1 for three distinct subpopulations of inhibitory interneurons: parvalbumin-immunoreactive (PV-IR) interneurons, calbindin-immunoreactive (CB-IR) interneurons, and calretinin-immunoreactive (CR-IR) interneurons. We found that PV-IR cells, which have previously been identified as fast spiking, show high expression of the GluA2 and GluA3 subunits. In contrast, CB-IR and CR-IR cells, which tend to be intermediate spiking, show high expression of the GluA1 and GluA4 subunits. Thus, our data demonstrate that the expression of AMPARs divides inhibitory interneurons in macaque V1 into two categories that are compatible with existing classification methods based on calcium-binding proteins and firing behavior. Moreover, our findings suggest new approaches to target the different inhibitory interneuron classes pharmacologically in vivo.
机译:谷氨酸受体介导兴奋性神经传递。在新皮层中,谷氨酸受体的一种非常普遍的类型是AMPA受体(AMPAR)。 AMPAR介导快速的突触传递,其功能取决于亚基的组成。在初级视觉皮层(区域V1)中,AMPAR的密度和亚基组成在皮层之间和细胞类型之间有所不同。对于网络功能至关重要的不同类型的抑制性中间神经元表达的AMPAR尚未得到系统表征。我们研究了猕猴V1中AMPAR亚基在抑制性中间神经元的三个不同亚群中的分布:小白蛋白-免疫反应性(PV-IR)中间神经元,钙结合蛋白-免疫反应性(CB-IR)中间神经元和钙调蛋白-免疫反应性(CR-IR)内部神经元。我们发现PV-IR细胞,以前已被确定为快速加标,显示高表达的GluA2和GluA3亚基。相反,倾向于中间加标的CB-1R和CR-1R细胞显示GluA1和GluA4亚基的高表达。因此,我们的数据表明AMPAR的表达将猕猴V1中的抑制性中间神经元分为与基于钙结合蛋白和射击行为的现有分类方法兼容的两类。此外,我们的发现提示在体内药理学上针对不同抑制性中间神经元类别的新方法。

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