4 research outputs found

    Nucleic Acids Res

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    We have used surface plasmon resonance to investigate the nucleic acid binding properties of the core protein of hepatitis C virus, a disordered protein believed to chaperone the genomic RNA. It was previously shown that a peptide (peptide E) corresponding to the association of two basic clusters of core enhances the annealing and the dimerization of nucleic acid fragments derived from a stem loop (SL2) in the 3' untranslated region of the hepatitis C virus genome. However, strong aggregation of nucleic acids by core or peptide E in the excess of the latter precluded the characterization of their binding parameters up to now. By careful design of surface plasmon resonance experiments, we obtained accurate binding parameters for the interaction of peptide E with SL2-derived oligonucleotides of different lengths and sequences, in form of stem-loop, duplex or strand. Peptide E was found to bind in a salt dependent manner to all oligonucleotides assayed. Affinity data identify at least two binding modes, of which one is independent of sequence/structure, and the other is specific to the SL2 stem-loop fold. Stoichiometry data support a multi-motif binding model allowing formation of higher-order complexes. We propose that the modular binding mode demonstrated for structured RNA-binding proteins also applies to this disordered chaperone and is relevant to its activity

    Quantitative and predictive model of kinetic regulation by E. coli TPP riboswitches.

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    Riboswitches are non-coding elements upstream or downstream of mRNAs that, upon binding of a specific ligand, regulate transcription and/or translation initiation in bacteria, or alternative splicing in plants and fungi. We have studied thiamine pyrophosphate (TPP) riboswitches regulating translation of thiM operon and transcription and translation of thiC operon in E. coli, and that of THIC in the plant A. thaliana. For all, we ascertained an induced-fit mechanism involving initial binding of the TPP followed by a conformational change leading to a higher-affinity complex. The experimental values obtained for all kinetic and thermodynamic parameters of TPP binding imply that the regulation by A. thaliana riboswitch is governed by mass-action law, whereas it is of kinetic nature for the two bacterial riboswitches. Kinetic regulation requires that the RNA polymerase pauses after synthesis of each riboswitch aptamer to leave time for TPP binding, but only when its concentration is sufficient. A quantitative model of regulation highlighted how the pausing time has to be linked to the kinetic rates of initial TPP binding to obtain an ON/OFF switch in the correct concentration range of TPP. We verified the existence of these pauses and the model prediction on their duration. Our analysis also led to quantitative estimates of the respective efficiency of kinetic and thermodynamic regulations, which shows that kinetically regulated riboswitches react more sharply to concentration variation of their ligand than thermodynamically regulated riboswitches. This rationalizes the interest of kinetic regulation and confirms empirical observations that were obtained by numerical simulations

    A global benchmark study using affinity-based biosensors

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    International audienceTo explore the variability in biosensor studies, 150 participants from 20 countries were given the same protein samples and asked to determine kinetic rate constants for the interaction. We chose a protein system that was amenable to analysis using different biosensor platforms as well as by users of different expertise levels. The two proteins (a 50-kDa Fab and a 60-kDa glutathione S-transferase [GST] antigen) form a relatively high-affinity complex, so participants needed to optimize several experimental parameters, including ligand immobilization and regeneration conditions as well as analyte concentrations and injection/dissociation times. Although most participants collected binding responses that could be fit to yield kinetic parameters, the quality of a few data sets could have been improved by optimizing the assay design. Once these outliers were removed, the average reported affinity across the remaining panel of participants was 620 pM with a standard deviation of 980 pM. These results demonstrate that when this biosensor assay was designed and executed appropriately, the reported rate constants were consistent, and independent of which protein was immobilized and which biosensor was used. (C) 2008 Elsevier Inc. All rights reserved

    A global benchmark study using affinity-based biosensors

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