Suppr超能文献

不同的强啡肽通过特定隔室的阿片受体信号选择性调节。

Compartment-specific opioid receptor signaling is selectively modulated by different dynorphin peptides.

机构信息

Cellular and Molecular Biology Training Program, University of Michigan Medical School, Ann Arbor, United States.

Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, United States.

出版信息

Elife. 2021 Apr 28;10:e60270. doi: 10.7554/eLife.60270.

Abstract

Many signal transduction systems have an apparent redundancy built into them, where multiple physiological agonists activate the same receptors. Whether this is true redundancy, or whether this provides an as-yet unrecognized specificity in downstream signaling, is not well understood. We address this question using the kappa opioid receptor (KOR), a physiologically relevant G protein-coupled receptor (GPCR) that is activated by multiple members of the Dynorphin family of opioid peptides. We show that two related peptides, Dynorphin A and Dynorphin B, bind and activate KOR to similar extents in mammalian neuroendocrine cells and rat striatal neurons, but localize KOR to distinct intracellular compartments and drive different post-endocytic fates of the receptor. Strikingly, localization of KOR to the degradative pathway by Dynorphin A induces sustained KOR signaling from these compartments. Our results suggest that seemingly redundant endogenous peptides can fine-tune signaling by regulating the spatiotemporal profile of KOR signaling.

摘要

许多信号转导系统具有明显的冗余性,其中多个生理激动剂激活相同的受体。这种冗余性是否真实存在,或者这种冗余性是否为下游信号转导提供了尚未被认识的特异性,目前尚不清楚。我们使用κ阿片受体(KOR)来解决这个问题,KOR 是一种生理相关的 G 蛋白偶联受体(GPCR),可被多种内啡肽家族的 Dynorphin 肽激活。我们发现,两种相关的肽,Dynorphin A 和 Dynorphin B,在哺乳动物神经内分泌细胞和大鼠纹状体神经元中以相似的程度结合并激活 KOR,但将 KOR 定位到不同的细胞内隔室,并驱动受体的不同的胞内吞后命运。引人注目的是,Dynorphin A 将 KOR 定位到降解途径会诱导这些隔室中持续的 KOR 信号转导。我们的结果表明,看似冗余的内源性肽可以通过调节 KOR 信号转导的时空特征来精细调节信号转导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54a4/8112862/180fc1971869/elife-60270-fig1.jpg

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