15 research outputs found

    Full and Partial Agonists of Thromboxane Prostanoid Receptor Unveil Fine Tuning of Receptor Superactive Conformation and G Protein Activation

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    The intrahelical salt bridge between E/D3.49E/D^{3.49} and R3.50R^{3.50} within the E/DRY motif on helix 3 (H3) and the interhelical hydrogen bonding between the E/DRY and residues on H6 are thought to be critical in stabilizing the class A G protein-coupled receptors in their inactive state. Removal of these interactions is expected to generate constitutively active receptors. This study examines how neutralization of E3.49/6.30E^{3.49/6.30} in the thromboxane prostanoid (TP) receptor alters ligand binding, basal, and agonist-induced activity and investigates the molecular mechanisms of G protein activation. We demonstrate here that a panel of full and partial agonists showed an increase in affinity and potency for E129V and E240V mutants. Yet, even augmenting the sensitivity to detect constitutive activity (CA) with overexpression of the receptor or the G protein revealed resistance to an increase in basal activity, while retaining fully the ability to cause agonist-induced signaling. However, direct G protein activation measured through bioluminescence resonance energy transfer (BRET) indicates that these mutants more efficiently communicate and/or activate their cognate G proteins. These results suggest the existence of additional constrains governing the shift of TP receptor to its active state, together with an increase propensity of these mutants to agonist-induced signaling, corroborating their definition as superactive mutants. The particular nature of the TP receptor as somehow "resistant" to CA should be examined in the context of its pathophysiological role in the cardiovascular system. Evolutionary forces may have favored regulation mechanisms leading to low basal activity and selected against more highly active phenotypes

    Atomic Force Microscopy: an innovative technology to explore cardiomyocyte cell surface in cardiac physio/pathophysiology

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    International audienceAtomic Force Microscopy (AFM) has emerged these recent years as a multifunctional toolbox for studying biological samples in physiological conditions. Although its use has spread among biologists community, cardiology remains a scientific field where not been extensively used yet. Heart diseases are nowadays a major human threat, and cause the death of millions of people each year. A convergent point to all heart diseases seems to be related to the defect of the cardiomyocyte, the contractile unit of the he reason, many scientists got interested in this cell type. However, very few studies use a technology such as AFM and its derivatives (force spectroscopy, multiparametric imaging) to explore this cell. The aim of this review is thus to give a comprehensive an interest of the biophysical approach made possible by AFM studies. We will show how AFM has been and can be used to study fix living cardiomyocytes, and, how combined with other types of microscopy, it can help getting a better understanding o pathologies or drugs. This review is the first dedicated to the use of AFM technics in cardiology, and gives new insights in fundamental questions surrounding cardiomyocytes, that can be answered using such a technology

    Atomic Force Microscopy: an innovative technology to explore cardiomyocyte cell surface in cardiac physio/pathophysiology

    No full text
    International audienceAtomic Force Microscopy (AFM) has emerged these recent years as a multifunctional toolbox for studying biological samples in physiological conditions. Although its use has spread among biologists community, cardiology remains a scientific field where not been extensively used yet. Heart diseases are nowadays a major human threat, and cause the death of millions of people each year. A convergent point to all heart diseases seems to be related to the defect of the cardiomyocyte, the contractile unit of the he reason, many scientists got interested in this cell type. However, very few studies use a technology such as AFM and its derivatives (force spectroscopy, multiparametric imaging) to explore this cell. The aim of this review is thus to give a comprehensive an interest of the biophysical approach made possible by AFM studies. We will show how AFM has been and can be used to study fix living cardiomyocytes, and, how combined with other types of microscopy, it can help getting a better understanding o pathologies or drugs. This review is the first dedicated to the use of AFM technics in cardiology, and gives new insights in fundamental questions surrounding cardiomyocytes, that can be answered using such a technology

    Functional analysis of basal and agonist induced total IP accumulation in HEK293 cells transiently expressing the double mutant E129V/E240V of human TP receptor without and following rescue with 1

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    <p> ”<b>M SQ29,548 for 18 </b><b>h.</b> A. Total IP accumulation in basal condition and following 30 min stimulation with 1 ”M U46619. B. Concentration-response curves of U46619. Error bars represent mean±SE of at least two independent experiments each performed in duplicates.</p

    Agonist-induced total IP accumulation in HEK293 cells transiently expressing equal amounts of the WT (A) or E129V mutant (B) of human TP receptor.

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    <p>Total IP accumulation was measured after incubation in the absence (basal) or presence of increasing concentrations of the indicated agonists for 30 min. Data are expressed as dpm/well. Error bars represent mean±SE of at least three independent experiments each performed in duplicates or triplicates (For the sake of clarity, in panel B, error bar direction of U46619 and I-BOP data is above and below, respectively). Curves are computer generated from the simultaneous analysis of at least three independent experiments. Values for EC<sub>50</sub> and significant differences from WT are shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0060475#pone-0060475-t002" target="_blank">Table 2</a>.</p

    Affinities of the agonists for the binding site of the receptor labelled by [<sup>3</sup>H]SQ29,548 in HEK293 cells transiently expressing the WT or the mutant human TP receptors.

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    <p>Ki values were obtained by simultaneous analysis of at least 3 independent competition experiments analyzed with GraphPad Prism implemented with the LIGAND model (see Data and statistical analysis).</p>a<p>Affinity ratio was calculated as the ratio of the K<sub>i</sub> for the WT TP receptor over the K<sub>i</sub> of the E129V mutant.</p>**<p>p<0.01 vs. WT.</p

    BRET<sup>2</sup> measurement of Gα<sub>q</sub>ÎČ<sub>1</sub>Îł<sub>2</sub> complex activation in HEK293 living cells expressing equal amounts of the WT of human TP receptor or its E129V mutant.

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    <p>A. BRET<sup>2</sup> was measured between the donor Rluc8 and the acceptor GFP<sup>10</sup> introduced at the residue 97 of the Gα<sub>q</sub> subunit and the N-terminal domain of the GÎł<sub>2</sub> subunit, respectively. Agonist-induced coupling of TP receptor and Gq protein distances Gα<sub>q</sub>-Rluc8 and GFP<sup>10</sup>-GÎł<sub>2</sub> giving rise to a decrease in the BRET signal. B. Protein expression levels of the constructs used for BRET experiments were set to be constant and able to assure the same level of basal BRET ratio in the presence of WT and E129V mutant of the human TP receptors. Total Gα<sub>q</sub>-Rluc8 luminescence was evaluated in HEK293 cells co-expressing Gα<sub>q</sub>-Rluc8 together with GFP<sup>10</sup>-GÎł<sub>2</sub> and GÎČ<sub>1</sub> in the presence of WT or E129V mutant of the human TP receptor measuring the light emission in aliquots of the transfected cells incubated with 5 ”M coelenterazine for 8 min. In the same cells stimulated with PBS, basal BRET ratio was calculated as the ratio of the light emitted by GFP<sup>10</sup> (510–540 nm) over the light emitted by Rluc8 (370–450 nm). C. BRET was measured in HEK293 cells co-expressing Gα<sub>q</sub>-Rluc8 together with GFP<sup>10</sup>-GÎł<sub>2</sub> and GÎČ<sub>1</sub> in the presence of WT (left) or E129V (right) mutant of the human TP receptor and stimulated with increasing concentrations of the indicated full and partial agonists. Results are the differences in the BRET signal measured in the presence and the absence of agonists, and are expressed as the mean value±SE of at least two independent determinations.</p

    Binding affinities of [<sup>3</sup>H]SQ29,548 in HEK293 cells transiently expressing the WT or mutant human TP receptors.

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    <p>Binding affinities and capacities were obtained by simultaneous analysis of at least 3 independent mixed-type experiments each performed in duplicates, analyzed with GraphPad Prism implemented with the LIGAND model (see Data and statistical analysis).</p>a<p>In cotransfection experiments, TP and Gαq plasmids were added in a 1∶3 (3x) and 1∶5 (5x) ratio (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0060475#s2" target="_blank">methods</a> for details).</p>b<p>Parameters refer to E129/240V double mutant before SQ29,548 rescue.</p

    BRET concentration-response parameters for different agonists in HEK293 cells transiently expressing the WT or the E129V TP receptor.

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    <p>Values of EC<sub>50</sub> and E<sub>max</sub> were obtained by simultaneous analysis with GraphPad Prism (see Data and statistical analysis) of at least two independent experiments each performed in duplicates.</p>a<p>Activity ratio was calculated as the ratio of the EC<sub>50</sub> for the WT TP receptor over the EC<sub>50</sub> of the E129V mutant.</p>*<p>p<0.05, ** p<0.01 vs. WT.</p

    Agonist binding studies in HEK293 cells transiently expressing the WT (A) or E129V mutant (B) of human TP receptor.

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    <p>For each construct, cold U46619, I-BOP, 8-isoPGF<sub>2α</sub> or 8-isoPGE<sub>2</sub> was used in competition for 1 nM [<sup>3</sup>H]SQ29,548. Mixed type curves and heterologous competition curves were performed at 25°C with 30 min incubation. Binding is expressed as the ratio of bound ligand concentration to total ligand concentration (B/T, dimensionless) versus the logarithm of total unlabeled ligand concentration (Log T). Non-specific binding was calculated by computer as one of the unknown parameters of the model and was always <10% of total binding. Curves are computer generated from the simultaneous analysis of several independent mixed-type and heterologous competition experiments, each in duplicate. Values for K<sub>i</sub> and significant differences from WT are shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0060475#pone-0060475-t003" target="_blank">Table 3</a>.</p
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