Suppr超能文献

Identification of a novel protein complex containing ASIC1a and GABAA receptors and their interregulation.

作者信息

Zhao Dongbo, Ning Nannan, Lei Zhen, Sun Hua, Wei Chuanfei, Chen Dawei, Li Jingxin

机构信息

Department of Thoracic Surgery, Shandong Cancer Hospital and Institute, Jinan, China.

Department of Physiology, School of Medicine, Shandong University, Jinan, China.

出版信息

PLoS One. 2014 Jun 12;9(6):e99735. doi: 10.1371/journal.pone.0099735. eCollection 2014.

Abstract

Acid-sensing ion channels (ASICs) belong to the family of the epithelial sodium channel/degenerin (ENaC/DEG) and are activated by extracellular protons. They are widely distributed within both the central and peripheral nervous systems. ASICs were modified by the activation of γ-aminobutyric acid receptors (GABAA), a ligand-gated chloride channels, in hippocampal neurons. In contrast, the activity of GABAA receptors were also modulated by extracellular pH. However so far, the mechanisms underlying this intermodulation remain obscure. We hypothesized that these two receptors-GABAA receptors and ASICs channels might form a novel protein complex and functionally interact with each other. In the study reported here, we found that ASICs were modified by the activation of GABAA receptors either in HEK293 cells following transient co-transfection of GABAA and ASIC1a or in primary cultured dorsal root ganglia (DRG) neurons. Conversely, activation of ASIC1a also modifies the GABAA receptor-channel kinetics. Immunoassays showed that both GABAA and ASIC1a proteins were co-immunoprecipitated mutually either in HEK293 cells co-transfected with GABAA and ASIC1a or in primary cultured DRG neurons. Our results indicate that putative GABAA and ASIC1a channels functionally interact with each other, possibly via an inter-molecular association by forming a novel protein complex.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0de9/4055689/f0f277c8395b/pone.0099735.g001.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