39 research outputs found

    Dot-blot immunodetection as a versatile and high-throughput assay to evaluate recombinant GPCRs produced in the yeast Pichia pastoris

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    One of the major objectives of the Membrane Protein Network program (MePNet, www.mepnet.org) is to express one hundred G-protein-coupled receptors (GPCRs) in the yeast Pichia pastoris. We have developed an antibody-based assay in order to select for the best behaving clones at each step of the receptor preparation, from expression to solubilization. This assay allowed us to quantify the expression of Flag-tagged GPCRs present in various sample types, from crude P. pastoris extracts to native membrane preparations and detergent solubilised fractions. It combines the specificity of ELISA, the sensitivity of enhanced chemiluminescence detection and the speed of high-throughput screening, and can detect as low as 0.001% (w/w) flag-tagged recombinant receptor present in a crude extract. The method was applied to sort recombinant GPCR clones, to rank receptor expression levels and to screen for detergent solubilization efficiency using the human β2-adrenergic receptor expressed in P. pastoris as a benchmarking standard

    Light, Angles, Action

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    Pathogenic and Non-pathogenic Polyglutamine Tracts Have Similar Structural Properties: Towards a Length-dependent Toxicity Gradient

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    Abnormally expanded polyglutamine (polyQ) tracts provide a gain of toxic functions to nine otherwise unrelated human proteins and induce progressive neurodegenerative diseases. Over the past ten years, it was suggested that only polyQ tracts longer than a specific threshold adopt a particular structure, which would be the cause of the apparent polyQ length-dependent toxicity threshold observed in polyQ diseases. We have used a combination of biochemical and biophysical approaches to compare the structural properties of polyQ of pathogenic and non-pathogenic lengths under various conditions. We observe that pathogenic and non-pathogenic polyQ, as soluble species and upon interaction with a partner, during aggregation, or as mature aggregates, display very similar structural properties. PolyQ length only influences the aggregation kinetics and, to a lesser extent, the stability of the aggregates. We thus propose that polyQ toxicity does not depend on a structural transition occurring above a specific threshold, but rather that polyQ tracts are inherently toxic sequences, whose deleterious effect gradually increases with their length. We discuss how polyQ properties and other cellular factors may explain the existence of an apparent polyQ length-dependent toxicity threshold

    Pathogenic and Non-pathogenic Polyglutamine Tracts Have Similar Structural Properties: Towards a Length-dependent Toxicity Gradient

    No full text
    Abnormally expanded polyglutamine (polyQ) tracts provide a gain of toxic functions to nine otherwise unrelated human proteins and induce progressive neurodegenerative diseases. Over the past ten years, it was suggested that only polyQ tracts longer than a specific threshold adopt a particular structure, which would be the cause of the apparent polyQ length-dependent toxicity threshold observed in polyQ diseases. We have used a combination of biochemical and biophysical approaches to compare the structural properties of polyQ of pathogenic and non-pathogenic lengths under various conditions. We observe that pathogenic and non-pathogenic polyQ, as soluble species and upon interaction with a partner, during aggregation, or as mature aggregates, display very similar structural properties. PolyQ length only influences the aggregation kinetics and, to a lesser extent, the stability of the aggregates. We thus propose that polyQ toxicity does not depend on a structural transition occurring above a specific threshold, but rather that polyQ tracts are inherently toxic sequences, whose deleterious effect gradually increases with their length. We discuss how polyQ properties and other cellular factors may explain the existence of an apparent polyQ length-dependent toxicity threshold

    Structural genomics on membrane proteins: comparison of more than 100 GPCRs in 3 expression systems

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    Production of recombinant receptors has been one of the major bottlenecks in structural biology on G protein-coupled receptors (GPCRs). The MePNet (Membrane Protein Network) was established to overexpress a large number of GPCRs in three major expression systems, based on Escherichia coli, Pichia pastoris and Semliki Forest virus (SFV) vectors. Evaluation by immunodetection demonstrated that 50% of a total of 103 GPCRs were expressed in bacterial inclusion bodies, 94% in yeast cell membranes and 95% in SFV-infected mammalian cells. The expression levels varied from low to high and the various GPCR families and subtypes were analyzed for their expressability in each expression system. More than 60% of the GPCRs were expressed at milligram levels or higher in one or several systems, compatible to structural biology applications. Functional activity was determined by binding assays in yeast and mammalian cells and the correlation between immunodetection and binding activity was analyzed

    Anal Biochem

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    We investigated the suitability of surface plasmon resonance (SPR) for providing quantitative binding information from direct screening of a chemical library on protein tyrosine phosphatase 1b (PTP1B). The experimental design was established from simulations to detect binding with K(D) < 10(-)(4) M. The 1120 compounds (cpds) were injected sequentially at concentrations [C(cpd)] of 0.5 or 10 muM over various target surfaces. An optimized evaluation procedure was applied. More than 90% of cpds showed no detectable signal in four screens. The 30 highest responders at C(cpd)=10 muM, of which 25 were selected in at least one of three screens at C(cpd)=0.5 muM, contained 22 promiscuous binders and 8 potential PTP1B-specific binders with K(D) ~10(-)(5) M. Inhibition of PTP1B activity was assayed and confirmed for 6 of these, including sanguinarine, a known PTP1B inhibitor. C(cpd) dependence studies fully confirmed screening conclusions. The quantitative consistency of SPR data led us to propose a structure-activity relationship (SAR) model for developing selective PTP1B inhibitors based on the ranking of 10 arylbutylpiperidine analogs
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