Literature DB >> 26581874

Classifying neuronal subclasses of the cerebellum through constellation pharmacology.

Kigen J Curtice1, Lee S Leavitt1, Kevin Chase1, Shrinivasan Raghuraman1, Martin P Horvath1, Baldomero M Olivera1, Russell W Teichert2.   

Abstract

A pressing need in neurobiology is the comprehensive identification and characterization of neuronal subclasses within the mammalian nervous system. To this end, we used constellation pharmacology as a method to interrogate the neuronal and glial subclasses of the mouse cerebellum individually and simultaneously. We then evaluated the data obtained from constellation-pharmacology experiments by cluster analysis to classify cells into neuronal and glial subclasses, based on their functional expression of glutamate, acetylcholine, and GABA receptors, among other ion channels. Conantokin peptides were used to identify N-methyl-d-aspartate (NMDA) receptor subtypes, which revealed that neurons of the young mouse cerebellum expressed NR2A and NR2B NMDA receptor subunits. Additional pharmacological tools disclosed differential expression of α-amino-3-hydroxy-5-methyl-4-isoxazloepropionic, nicotinic acetylcholine, and muscarinic acetylcholine receptors in different neuronal and glial subclasses. Certain cell subclasses correlated with known attributes of granule cells, and we combined constellation pharmacology with genetically labeled neurons to identify and characterize Purkinje cells. This study illustrates the utility of applying constellation pharmacology to classify neuronal and glial subclasses in specific anatomical regions of the brain.
Copyright © 2016 the American Physiological Society.

Entities:  

Keywords:  calcium imaging; classifying neuronal subclasses; conantokin peptides; constellation pharmacology; genetically labeled neurons

Mesh:

Substances:

Year:  2015        PMID: 26581874      PMCID: PMC4888970          DOI: 10.1152/jn.00894.2015

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  69 in total

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