Suppr超能文献

苯二氮䓬受体的光亲和标记:对配体与核苷转运系统结合无影响。

Photoaffinity labelling of benzodiazepine receptors: lack of effect on ligand binding to the nucleoside transport system.

作者信息

Hammond J R

出版信息

J Neurochem. 1985 Oct;45(4):1327-30. doi: 10.1111/j.1471-4159.1985.tb05564.x.

Abstract

This study was undertaken to investigate the possibility of an allosteric interaction between benzodiazepine receptors and the CNS nucleoside transport system. Irreversible (photoaffinity) labelling of the benzodiazepine receptors in guinea pig cortical membranes resulted in a marked reduction in the binding (Bmax) of both [3H]flunitrazepam (71%) and [3H]ethyl-beta-carboline-3-carboxylate (22%) to the benzodiazepine receptors but had no effect on the binding of [3H]nitrobenzylthioinosine to the nucleoside transport system. Furthermore, although photoaffinity labelling resulted in a significant decrease in the affinities of flunitrazepam (approximately equal to 16-fold) and dipyridamole (approximately equal to sevenfold) for the [3H]Ro 15-1788 binding site of the benzodiazepine receptor complex, the affinities of these compounds for the nucleoside transport system were unaltered. These results suggest that the CNS nucleoside transport system and the benzodiazepine receptor complex are distinct, noninteractive ligand recognition sites.

摘要

本研究旨在探讨苯二氮䓬受体与中枢神经系统核苷转运系统之间变构相互作用的可能性。对豚鼠皮质膜中的苯二氮䓬受体进行不可逆(光亲和)标记,导致[³H]氟硝西泮(71%)和[³H]乙基-β-咔啉-3-羧酸(22%)与苯二氮䓬受体的结合(Bmax)显著降低,但对[³H]硝基苄基硫代肌苷与核苷转运系统的结合无影响。此外,尽管光亲和标记导致氟硝西泮(约16倍)和双嘧达莫(约7倍)对苯二氮䓬受体复合物[³H]Ro 15 - 1788结合位点的亲和力显著降低,但这些化合物对核苷转运系统的亲和力未改变。这些结果表明,中枢神经系统核苷转运系统和苯二氮䓬受体复合物是不同的、非相互作用的配体识别位点。

相似文献

5
Differential sensitivity of "central" and "peripheral" type benzodiazepine receptors to phospholipase A2.
J Neurochem. 1986 Mar;46(3):804-11. doi: 10.1111/j.1471-4159.1986.tb13043.x.
7
First use of a beta-carboline as photoaffinity label for the benzodiazepine receptor.
Eur J Pharmacol. 1989 Aug 3;166(3):557-62. doi: 10.1016/0014-2999(89)90376-2.

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