Suppr超能文献

Classification and nomenclature of 5-HT receptors: a comment on current issues.

作者信息

Hoyer D, Martin G R

机构信息

SANDOZ Pharma Ltd, Basel, Switzerland.

出版信息

Behav Brain Res. 1996;73(1-2):263-8. doi: 10.1016/0166-4328(96)00109-x.

Abstract

Information concerning the structural, operational and transductional characteristics of 5-HT receptors continues to increase at an incredible pace, challenging our efforts to assimilate and organise it in a comprehensive manner. At the time of the Serotonin Satellite meeting in Chicago, the IUPHAR classification of receptors for 5-HT recognised four distinct receptor classes (5-HT1, 5-HT2, 5-HT3 and 5-HT4), comprising seven fully characterised functional receptor subtypes and four recombinant receptors (5-HT1D alpha, 5-HT1D beta, 5-ht1E and 5-ht1F). Four additional recombinant receptors (5-ht5A, 5-ht5B, 5-ht6 and 5-ht7) provide strong evidence for the existence three additional receptor classes. Indeed, results presented largely at the Chicago meeting have confirmed the physiological importance of both 5-ht6 and 5-ht7 receptors so that in future schemes, these will be acknowledged as fully characterised receptor classes. It is evident from this brief review that a number of issues remain to be resolved, and more are certain to follow. Some, for example the definition of the term 'physiologically relevant', as applied to recombinant receptors, will long continue to attract debate, especially between molecular biologists and pharmacologists. Others, such as the issue of species primacy, are perhaps more fundamental and can be expected to receive the urgent attention of NC-IUPHAR. These issues notwithstanding, the current scheme clearly provides a secure and rational basis for classifying and naming 5-HT receptors. The continued efforts of the SRNC are intended to encourage its further evolution towards the ultimate goal of a unitary classification for neurotransmitter/hormone receptors.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验