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用于生物发光共振能量转移定量评估的数学模型:在七跨膜受体寡聚化中的应用。

Mathematical models for quantitative assessment of bioluminescence resonance energy transfer: application to seven transmembrane receptors oligomerization.

机构信息

Aerosol d. o. o. Ljubljana, Slovenia.

出版信息

Front Endocrinol (Lausanne). 2012 Aug 28;3:104. doi: 10.3389/fendo.2012.00104. eCollection 2012.

DOI:10.3389/fendo.2012.00104
PMID:22973259
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3428587/
Abstract

The idea that seven transmembrane receptors (7TMRs; also designated G-protein coupled receptors, GPCRs) might form dimers or higher order oligomeric complexes was formulated more than 20 years ago and has been intensively studied since then. In the last decade, bioluminescence resonance energy transfer (BRET) has been one of the most frequently used biophysical methods for studying 7TMRs oligomerization. This technique enables monitoring physical interactions between protein partners in living cells fused to donor and acceptor moieties. It relies on non-radiative transfer of energy between donor and acceptor, depending on their intermolecular distance (1-10 nm) and relative orientation. Results derived from BRET-based techniques are very persuasive; however, they need appropriate controls and critical interpretation. To overcome concerns about the specificity of BRET-derived results, a set of experiments has been proposed, including negative control with a non-interacting receptor or protein, BRET dilution, saturation, and competition assays. This article presents the theoretical background behind BRET assays, then outlines mathematical models for quantitative interpretation of BRET saturation and competition assay results, gives examples of their utilization and discusses the possibilities of quantitative analysis of data generated with other RET-based techniques.

摘要

二十多年前就提出了七跨膜受体(7TMR;也称为 G 蛋白偶联受体,GPCR)可能形成二聚体或更高阶寡聚复合物的观点,此后一直对此进行深入研究。在过去的十年中,生物发光共振能量转移(BRET)已成为研究 7TMR 寡聚化的最常用生物物理方法之一。该技术能够监测融合到供体和受体部分的活细胞中蛋白伴侣之间的物理相互作用。它依赖于供体和受体之间的非辐射能量转移,这取决于它们的分子间距离(1-10nm)和相对取向。基于 BRET 的技术得出的结果非常有说服力;然而,它们需要适当的对照和批判性解释。为了克服对 BRET 结果特异性的担忧,已经提出了一组实验,包括用非相互作用的受体或蛋白进行阴性对照、BRET 稀释、饱和和竞争测定。本文介绍了 BRET 测定背后的理论背景,然后概述了定量解释 BRET 饱和和竞争测定结果的数学模型,给出了它们的应用实例,并讨论了使用其他基于 RET 的技术生成的数据的定量分析的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767a/3428587/808ed94f4a8f/fendo-03-00104-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767a/3428587/95013cb528d3/fendo-03-00104-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767a/3428587/2471055c4e07/fendo-03-00104-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767a/3428587/b5b6bf78bc72/fendo-03-00104-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767a/3428587/86ba7d0393f0/fendo-03-00104-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767a/3428587/808ed94f4a8f/fendo-03-00104-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767a/3428587/95013cb528d3/fendo-03-00104-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767a/3428587/2471055c4e07/fendo-03-00104-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767a/3428587/b5b6bf78bc72/fendo-03-00104-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767a/3428587/86ba7d0393f0/fendo-03-00104-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/767a/3428587/808ed94f4a8f/fendo-03-00104-g005.jpg

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