Use of plasmon waveguide resonance (PWR) spectroscopy for examining binding, signaling and lipid domain partitioning of membrane proteins

Hruby, Victor J.; Alves, Isabel D.; Cowell, Scott; Salamon, Zdzislaw; Tollin, Gordon

doi:10.1016/j.lfs.2009.02.027

Cited by 22 publications

(20 citation statements)

References 20 publications

(27 reference statements)

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“…For instance, in [23] a decrease in the refractive index (-0.085) of a POPC ssBLM was found as a consequence of the recruitation of the protein b-amyloid in the ssBLM, and was attributed to the partial loss of lipid packing due to the amyloid-membrane interaction. Similar rearrangement phenomena can also lead to mechanical-optical anisotropic rearrangements of ssBLM, producing different refractive index changes for s and p polarizations, even of opposite signs, monitorable with another plasmonic tool, namely the Plasmon Waveguide Resonator (PWR) technique [28].…”

Section: Discussionmentioning

confidence: 99%

Fabrication of GM3‐Enriched Sphingomyelin/Cholesterol Solid‐Supported Lipid Membranes on Au/SiO₂ Plasmonic Substrates

Margheri

d’Agostino

Rosso

et al. 2013

Lipids

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The fabrication of solid-supported artificial lipid bilayers enriched with biological agents is an important step for acquiring more insights into their behavior from in vitro studies. In this work we demonstrate the formation of lipid artificial membranes enriched with ganglioside GM3, whose role in the cell proliferation and tumor angiogenesis is still an object of extensive investigation. The membranes are formed by fusion of small unilamellar vesicles (SUV) obtained from the sonication of multi-lamellar vesicles (MLV) formed from a hydrated mixture of GM3, brain sphingomyelin and cholesterol. The effective formation of SUV was confirmed by Dynamic light scattering (DLS) measurements. The recognition of the ganglioside in the biomimetic raft like biomembranes is accomplished via surface plasmon resonance (SPR) by exploiting the ganglioside affinity with wheat germ agglutinin (WGA). The affinity constant of the binding between the inglobated GM3 and WGA has been measured for three different GM3 molar concentrations. Beside the effective generation of GM3-enriched biomimetic membranes, our results indicate a decrease in the apparent WGA-GM3 dissociation constant at increasing GM3 concentrations up to 20 mol%, consistent with clustering effects of the ganglioside in the fabricated biomembranes.

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Section: Discussionmentioning

confidence: 99%

Fabrication of GM3‐Enriched Sphingomyelin/Cholesterol Solid‐Supported Lipid Membranes on Au/SiO₂ Plasmonic Substrates

Margheri

d’Agostino

Rosso

et al. 2013

Lipids

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“…The idea was later implemented by Salamon et al who developed the first plasmon-waveguide resonance biosensor and extensively studied the applications in membrane systems (Salamon et al 1997; Salamon Z. and Tollin G. 2001). Since then, many research groups proposed modified designs (Toyama et al 2000; Zhang et al 2009; Zourob and Goddard 2005; Zourob et al 2005b) and applied the concept to a variety of biological targets (Hruby et al 2010; Hruby and Tollin 2007; Zourob et al 2005a). Plasmon-waveguide resonance is based on the deposition of a dielectric layer over a gold or silver film.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity comparison of surface plasmon resonance and plasmon-waveguide resonance biosensors

Abbas

Linman

Cheng

2011

Sensors and Actuators B: Chemical

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Plasmon-waveguide resonance (PWR) sensors are particularly useful for investigation of biomolecular interactions with or within lipid bilayer membranes. Many studies demonstrated their ability to provide unique qualitative information, but the evaluation of their sensitivity as compared to other surface plasmon resonance (SPR) sensors has not been broadly investigated. We report here a comprehensive sensitivity comparison of SPR and PWR biosensors for the p-polarized light component. The sensitivity of five different biosensor designs to changes in refractive index, thickness and mass are determined and discussed. Although numerical simulations show an increase of the electric field intensity by 30–35 % and the penetration depth by four times in PWR, the waveguide-based method is 0.5 to 8 fold less sensitive than conventional SPR in all considered analytical parameters. The experimental results also suggest that the increase in the penetration depth in PWR is made at the expense of the surface sensitivity. The physical and structural reasons for PWR sensor limitations are discussed and a general viewpoint for designing more efficient SPR sensors based on dielectric slab waveguides is provided.

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“…Although spectroscopic studies provide clear evidence that association with different agonists stabilized purified δ opioid receptors into conformations that distinctively interact with Gα i/o subunits (Alves et al ., ; Hruby et al ., ), the drawback is that PWRS gives no information about the physiological consequences of these distinct interactions. Studies in live cells have provided this type of information, showing that δ opioid receptors behave as pleiotropic receptors capable of activating different Gα subunits (Allouche et al ., ; Alves et al ., ; Pineyro and Archer‐Lahlou, ).…”

Section: Biased Signalling By δ Opioid Receptor Agonistsmentioning

confidence: 99%

Identifying ligand‐specific signalling within biased responses: focus on δ opioid receptor ligands

Charfi

Audet

Tudashki

et al. 2014

British J Pharmacology

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Opioids activate GPCRs to produce powerful analgesic actions but at the same time induce side effects and generate tolerance, which restrict their clinical use. Reducing this undesired response profile has remained a major goal of opioid research and the notion of 'biased agonism' is raising increasing interest as a means of separating therapeutic responses from unwanted side effects. However, to fully exploit this opportunity, it is necessary to confidently identify biased signals and evaluate which type of bias may support analgesia and which may lead to undesired effects. The development of new computational tools has made it possible to quantify ligand-dependent signalling and discriminate this component from confounders that may also yield biased responses. Here, we analyse different approaches to identify and quantify ligand-dependent bias and review different types of confounders. Focus is on δ opioid receptor ligands, which are currently viewed as promising agents for chronic pain management. LINKED ARTICLESThis IntroductionOpioids are the most effective analgesics known but their clinical use is limited by a compromise between maintaining analgesic efficacy on the one hand and controlling side effects and development of tolerance on the other (Dworkin, 2009). Not surprisingly then, improving the side effects profile and reducing the potential for analgesic tolerance have remained major goals in opioid receptor research. Within this context the notion of 'biased agonism' has raised considerable interest as a means of separating desired actions from undesired effects of opioid analgesics. This new pharmacological concept refers to the ability of certain receptor ligands to stabilize the receptor into conformations that distinctively engage specific signalling partners, thus directing pharmacological stimuli towards desired responses. As such, biased ligands may constitute a powerful means of separating analgesic actions from undesired effects of opioid analgesics. However, to fully exploit this opportunity, we must be able to confidently identify ligands of interest and evaluate which of their responses contribute to analgesic efficacy and which support undesired actions. The development of new quantification tools (Rajagopal et al., 2011;Kenakin et al., 2012;Rajagopal, 2013) has not only made this identification possible, but should allow us to verify novel hypotheses with respect to the type of signals responsible for desired and undesired effects of opioids. Here, we review how to identify and quantify ligand-dependent bias and also examine the extent to which an imbalance in signalling versus internalization responses may be a desirable property as a predictor of ligand potential for generating tolerance. Focus will be on δ opioid receptor ligands (for nomenclature see Alexander et al., 2013), which are currently viewed as promising agents for chronic pain management (Gaveriaux-Ruff and Kieffer, 2011a;Gaveriaux-Ruff et al., 2011b) Biased responses versus biased agonism 'Biased agonism' is a term tha...

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Use of plasmon waveguide resonance (PWR) spectroscopy for examining binding, signaling and lipid domain partitioning of membrane proteins

Cited by 22 publications

References 20 publications

Fabrication of GM3‐Enriched Sphingomyelin/Cholesterol Solid‐Supported Lipid Membranes on Au/SiO₂ Plasmonic Substrates

Fabrication of GM3‐Enriched Sphingomyelin/Cholesterol Solid‐Supported Lipid Membranes on Au/SiO₂ Plasmonic Substrates

Sensitivity comparison of surface plasmon resonance and plasmon-waveguide resonance biosensors

Identifying ligand‐specific signalling within biased responses: focus on δ opioid receptor ligands

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Use of plasmon waveguide resonance (PWR) spectroscopy for examining binding, signaling and lipid domain partitioning of membrane proteins

Cited by 22 publications

References 20 publications

Fabrication of GM3‐Enriched Sphingomyelin/Cholesterol Solid‐Supported Lipid Membranes on Au/SiO2 Plasmonic Substrates

Fabrication of GM3‐Enriched Sphingomyelin/Cholesterol Solid‐Supported Lipid Membranes on Au/SiO2 Plasmonic Substrates

Sensitivity comparison of surface plasmon resonance and plasmon-waveguide resonance biosensors

Identifying ligand‐specific signalling within biased responses: focus on δ opioid receptor ligands

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Product

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Fabrication of GM3‐Enriched Sphingomyelin/Cholesterol Solid‐Supported Lipid Membranes on Au/SiO₂ Plasmonic Substrates

Fabrication of GM3‐Enriched Sphingomyelin/Cholesterol Solid‐Supported Lipid Membranes on Au/SiO₂ Plasmonic Substrates