ArticleJournal of neurophysiology2016
Classifying neuronal subclasses of the cerebellum through constellation pharmacology.
Article in Journal of neurophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Elucidation of Medusozoan (Jellyfish) Venom Constituent Activities Using Constellation Pharmacology.Toxins · 2024Article
- CYP1B1-derived epoxides modulate the TRPA1 channel in chronic pain.Acta pharmaceutica Sinica. B · 2023Article
- Chronicling changes in the somatosensory neurons after peripheral nerve injury.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Molecular characterization of frog vocal neurons using constellation pharmacology.Journal of neurophysiology · 2020Article
- Boholamide A, an APD-Class, Hypoxia-Selective Cyclodepsipeptide.Journal of natural products · 2020Article
- An integrative approach to the facile functional classification of dorsal root ganglion neuronal subclasses.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
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.
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