Literature DB >> 15248759

Endothelin receptor in virus-like particles: ligand binding observed by fluorescence fluctuation spectroscopy.

Lenka Zemanová1, Andreas Schenk, Nicholas Hunt, G Ulrich Nienhaus, Ralf Heilker.   

Abstract

The functional analysis of transmembrane receptor proteins is frequently hampered by the difficulty to produce sufficiently homogeneous receptor preparations that preserve the physiological biomembrane integration of the receptor protein. To improve the receptor protein density in the lipid bilayer and to maintain the physiological lipid-protein environment, a novel method has been established that enables the selective integration of transmembrane receptors into a virus-like particle (VLiP). Here we have studied the binding of tetramethylrhodamine-labeled endothelin-1 (TMR-ET-1) to VLiP-integrated endothelin A receptor (ET(A)R) by fluorescence fluctuation spectroscopy. The concentration of TMR-ET-1 was determined by fluorescence correlation spectroscopy (FCS). These measurements also confirmed that the free ligand is monomeric in solution in our experiments. Fluorescence intensity distribution analysis (FIDA) was used to quantify the fraction of ligands bound to ET(A)Rs in the VLiPs. For the interaction between ET-1 and VLiP-integrated ET(A)Rs, K(D) values of 0.5 nM and 0.3 nM were determined from ligand and receptor titration experiments, respectively. For comparison, a FIDA analysis was also carried out with ET(A)Rs in membrane fragments derived from an ET(A)R-overexpressing mammalian cell line, which yielded a similar K(D) of 0.2 nM. In addition, we examined the binding competition of a set of reference compounds to VLiP-ET(A)Rs in the presence of ET-1 and obtained K(i) values similar to those reported in the literature. Our results demonstrate that integration into VLiPs does not change the binding properties of the ET(A)Rs. FIDA analysis of VLiP-integrated receptors shows great promise for highly miniaturized and fast compound testing in the pharmaceutical industry.

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Year:  2004        PMID: 15248759     DOI: 10.1021/bi035901+

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  8 in total

1.  A two-photon excitation fluorescence cross-correlation assay for a model ligand-receptor binding system using quantum dots.

Authors:  J L Swift; R Heuff; D T Cramb
Journal:  Biophys J       Date:  2005-11-18       Impact factor: 4.033

2.  Fluorescence correlation spectroscopy of finite-sized particles.

Authors:  Bin Wu; Yan Chen; Joachim D Müller
Journal:  Biophys J       Date:  2007-12-07       Impact factor: 4.033

3.  Nanoparticles as fluorescence labels: is size all that matters?

Authors:  Jody L Swift; David T Cramb
Journal:  Biophys J       Date:  2008-04-04       Impact factor: 4.033

Review 4.  Fluorescent approaches for understanding interactions of ligands with G protein coupled receptors.

Authors:  Rajashri Sridharan; Jeffrey Zuber; Sara M Connelly; Elizabeth Mathew; Mark E Dumont
Journal:  Biochim Biophys Acta       Date:  2013-09-18

5.  Stimuli of sensory-motor nerves terminate arterial contractile effects of endothelin-1 by CGRP and dissociation of ET-1/ET(A)-receptor complexes.

Authors:  Merlijn J P M T Meens; Matthijs G Compeer; Tilman M Hackeng; Marc A van Zandvoort; Ben J A Janssen; Jo G R De Mey
Journal:  PLoS One       Date:  2010-06-01       Impact factor: 3.240

6.  Fluorescence correlation spectroscopy in drug discovery: study of Alexa532-endothelin 1 binding to the endothelin ETA receptor to describe the pharmacological profile of natural products.

Authors:  Catherina Caballero-George; Thomas Sorkalla; Daniel Jakobs; Jessica Bolaños; Huzefa Raja; Carol Shearer; Eldredge Bermingham; Hanns Häberlein
Journal:  ScientificWorldJournal       Date:  2012-05-01

Review 7.  Pharmacology under the microscope: the use of fluorescence correlation spectroscopy to determine the properties of ligand-receptor complexes.

Authors:  Stephen J Briddon; Stephen J Hill
Journal:  Trends Pharmacol Sci       Date:  2007-11-14       Impact factor: 14.819

8.  Modeling craniofacial development reveals spatiotemporal constraints on robust patterning of the mandibular arch.

Authors:  Lina Meinecke; Praveer P Sharma; Huijing Du; Lei Zhang; Qing Nie; Thomas F Schilling
Journal:  PLoS Comput Biol       Date:  2018-11-27       Impact factor: 4.475

  8 in total

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