Glycoprotein-glycoprotein Receptor Binding Detection Using Bioluminescence Resonance Energy Transfer.

糖蛋白 生物发光 内科学 内分泌学 受体 化学 能量转移 生物 生物化学 医学 分子物理学
作者
K Szymańska,Thu Ha Ngo,Jakub Czapiński,Adolfo Rivero‐Müller
出处
期刊:PubMed 卷期号:165 (6)
标识
DOI:10.1210/endocr/bqae052
摘要

The glycoprotein receptors, members of the large G protein-coupled receptor family, are characterized by a large extracellular domains responsible for binding their glycoprotein hormones. Hormone-receptor interactions are traditionally analyzed by ligand-binding assays, most often using radiolabeling but also by thermal shift assays. Despite their high sensitivity, these assays require appropriate laboratory conditions and, often, purified plasma cell membranes, which do not provide information on receptor localization or activity because the assays typically focus on measuring binding only. Here, we apply bioluminescence resonance energy transfer in living cells to determine hormone-receptor interactions between a Gaussia luciferase (Gluc)-luteinizing hormone/chorionic gonadotropin receptor (LHCGR) fusion and its ligands (human chorionic gonadotropin or LH) fused to the enhanced green fluorescent protein. The Gluc-LHCGR, as well as other Gluc-G protein-coupled receptors such as the somatostatin and the C-X-C motif chemokine receptors, is expressed on the plasma membrane, where luminescence activity is equal to membrane receptor expression, and is fully functional. The chimeric enhanced green fluorescent protein-ligands are properly secreted from cells and able to bind and activate the wild-type LHCGR as well as the Gluc-LHCGR. Finally, bioluminescence resonance energy transfer was used to determine the interactions between clinically relevant mutations of the hormones and the LHCGR that show that this bioassay provides a fast and effective, safe, and cost-efficient tool to assist the molecular characterization of mutations in either the receptor or ligand and that it is compatible with downstream cellular assays to determine receptor activation/function.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
无心的满天完成签到,获得积分10
1秒前
有魅力涵双完成签到 ,获得积分10
1秒前
1秒前
yoona发布了新的文献求助10
4秒前
大脸猫发布了新的文献求助10
4秒前
why发布了新的文献求助20
5秒前
Ava应助重生之我来找文献采纳,获得288
7秒前
8秒前
清水胖子发布了新的文献求助10
8秒前
9秒前
老纪1999完成签到,获得积分10
9秒前
lilibetch完成签到,获得积分10
10秒前
11秒前
可靠的藏花完成签到 ,获得积分10
11秒前
11秒前
12秒前
placebo发布了新的文献求助30
12秒前
汉堡包应助hhw采纳,获得10
14秒前
张小兔啊发布了新的文献求助10
15秒前
调皮之瑶发布了新的文献求助10
17秒前
20秒前
dodo应助daxiooo11采纳,获得200
23秒前
青年才俊发布了新的文献求助10
24秒前
bkagyin应助快乐谷秋采纳,获得10
24秒前
24秒前
小羊完成签到,获得积分10
25秒前
25秒前
25秒前
26秒前
lll完成签到 ,获得积分10
27秒前
Jaxine发布了新的文献求助10
28秒前
博伟发布了新的文献求助10
29秒前
pure milk完成签到 ,获得积分10
29秒前
30秒前
搜集达人应助chsdpolos采纳,获得10
30秒前
丘比特应助789466采纳,获得10
30秒前
左丘忻发布了新的文献求助10
31秒前
33秒前
从容的巧曼完成签到 ,获得积分10
33秒前
汉堡包应助小只采纳,获得10
33秒前
高分求助中
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 2000
Evolution 1100
How to Create Beauty: De Lairesse on the Theory and Practice of Making Art 1000
Gerard de Lairesse : an artist between stage and studio 670
CLSI EP47 Evaluation of Reagent Carryover Effects on Test Results, 1st Edition 550
T/CAB 0344-2024 重组人源化胶原蛋白内毒素去除方法 500
[Procedures for improving absorption properties of polystyrene microtest plates by coating with nitrocellulose] 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 2984128
求助须知:如何正确求助?哪些是违规求助? 2645195
关于积分的说明 7141498
捐赠科研通 2278477
什么是DOI,文献DOI怎么找? 1208854
版权声明 592177
科研通“疑难数据库(出版商)”最低求助积分说明 590499