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MrgX2 Is a High Potency Cortistatin Receptor Expressed in Dorsal Root Ganglion

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Robas, Nicola, Mead, Emma, Fidock, Mark·2003·Journal of Biological Chemistry

Abstract

MrgX2 is a recently identified orphan G-protein-coupled receptor whose ligand and physiological function were unknown. Here we describe cortistatin, a neuropeptide for which no specific receptor has been identified previously, as a high potency ligand at MrgX2. Cortistatin has several biological functions including roles in sleep regulation, locomotor activity, and cortical function. Using a "reverse pharmacology" approach, we have identified a number of additional cyclic peptide agonists for MrgX2, determined their rank order of potency, and demonstrated that this receptor has a pharmacological profile distinct from the other characterized members of the Mrg (Mas-related genes) family. In MrgX2-expressing cells, cortistatin-stimulated increases in intracellular Ca2+ but had no effect on basal or forskolin-stimulated cAMP levels, suggesting that this receptor is Gq-coupled. Immunohistochemical and quantitative PCR studies show MrgX2 to have a limited expression profile, both peripheral and within the central nervous system, with highest levels in dorsal root ganglion.

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Metadata

Authors
Robas, N., Mead, E., & Fidock, M.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
2003-11
Volume
278
Issue
45
Pages
44400-44404
ISSN
0021-9258 (ISSN-L)
OpenAlex
W1986027512
Cited by
249
References
0
FWCI
5.44
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: MrgX2 Is a High Potency Cortistatin Receptor Expressed in Dorsal Root Ganglion. https://app.cochat.ai/papers/10.1074/jbc.m302456200
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Robas, N., Mead, E., & Fidock, M. (2003). MrgX2 Is a High Potency Cortistatin Receptor Expressed in Dorsal Root Ganglion. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.m302456200

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.