31 research outputs found

    Crystallization and crystallographic analysis of an Arabidopsis nuclear proteinaceous RNase P

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    RNase P activity is ubiquitous and involves the 5' maturation of precursor tRNAs. For a long time, it was thought that all RNases P were ribonucleoproteic enzymes. However, the characterization of RNase P in human mitochondria and in plants revealed a novel kind of RNase P composed of protein only, called PRORP for `proteinaceous RNase P'. Whereas in human mitochondria PRORP has two partners that are required for RNase P activity, PRORP proteins are active as single-subunit enzymes in plants. Three paralogues of PRORP are found in Arabidopsis thaliana. PRORP1 is responsible for RNase P in mitochondria and chloroplasts, while PRORP2 and PRORP3 are nuclear enzymes. Here, the purification and crystallization of the Arabidopsis PRORP2 protein are reported. Optimization of the initial crystallization conditions led to crystals that diffracted to 3 Å resolution

    Loss of a primordial identity element for a mammalian mitochondrial aminoacylation system.

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    In mammalian mitochondria the translational machinery is of dual origin with tRNAs encoded by a simplified and rapidly evolving mitochondrial (mt) genome and aminoacyl-tRNA synthetases (aaRS) coded by the nuclear genome, and imported. Mt-tRNAs are atypical with biased sequences, size variations in loops and stems, and absence of residues forming classical tertiary interactions, whereas synthetases appear typical. This raises questions about identity elements in mt-tRNAs and adaptation of their cognate mt-aaRSs. We have explored here the human mt-aspartate system in which a prokaryotic-type AspRS, highly similar to the Escherichia coli enzyme, recognizes a bizarre tRNA(Asp). Analysis of human mt-tRNA(Asp) transcripts confirms the identity role of the GUC anticodon as in other aspartylation systems but reveals the non-involvement of position 73. This position is otherwise known as the site of a universally conserved major aspartate identity element, G73, also known as a primordial identity signal. In mt-tRNA(Asp), position 73 can be occupied by any of the four nucleotides without affecting aspartylation. Sequence alignments of various AspRSs allowed placing Gly-269 at a position occupied by Asp-220, the residue contacting G73 in the crystallographic structure of E. coli AspRS-tRNA(Asp) complex. Replacing this glycine by an aspartate renders human mt-AspRS more discriminative to G73. Restriction in the aspartylation identity set, driven by a rapid mutagenic rate of the mt-genome, suggests a reverse evolution of the mt-tRNA(Asp) identity elements in regard to its bacterial ancestor.journal articleresearch support, non-u.s. gov't2006 Jun 092006 04 05importe

    Tyrosyl-tRNA synthetase: the first crystallization of a human mitochondrial aminoacyl-tRNA synthetase.

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    Human mitochondrial tyrosyl-tRNA synthetase and a truncated version with its C-terminal S4-like domain deleted were purified and crystallized. Only the truncated version, which is active in tyrosine activation and Escherichia coli tRNA(Tyr) charging, yielded crystals suitable for structure determination. These tetragonal crystals, belonging to space group P4(3)2(1)2, were obtained in the presence of PEG 4000 as a crystallizing agent and diffracted X-rays to 2.7 A resolution. Complete data sets could be collected and led to structure solution by molecular replacement.journal articleresearch support, non-u.s. gov't2007 Apr 012007 03 30importe

    Nucleic Acids Res

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    In plants, the voltage-dependent anion-selective channel (VDAC) is a major component of a pathway involved in transfer RNA (tRNA) translocation through the mitochondrial outer membrane. However, the way in which VDAC proteins interact with tRNAs is still unknown. Potato mitochondria contain two major mitochondrial VDAC proteins, VDAC34 and VDAC36. These two proteins, composed of a N-terminal α-helix and of 19 β-strands forming a β-barrel structure, share 75% sequence identity. Here, using both northwestern and gel shift experiments, we report that these two proteins interact differentially with nucleic acids. VDAC34 binds more efficiently with tRNAs or other nucleic acids than VDAC36. To further identify specific features and critical amino acids required for tRNA binding, 21 VDAC34 mutants were constructed and analyzed by northwestern. This allowed us to show that the β-barrel structure of VDAC34 and the first 50 amino acids that contain the α-helix are essential for RNA binding. Altogether the work shows that during evolution, plant mitochondrial VDAC proteins have diverged so as to interact differentially with nucleic acids, and this may reflect their involvement in various specialized biological functions

    PPR proteins shed a new light on RNase P biology.

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    A fast growing number of studies identify pentatricopeptide repeat (PPR) proteins as major players in gene expression processes. Among them, a subset of PPR proteins called PRORP possesses RNase P activity in several eukaryotes, both in nuclei and organelles. RNase P is the endonucleolytic activity that removes 5' leader sequences from tRNA precursors and is thus essential for translation. Before the characterization of PRORP, RNase P enzymes were thought to occur universally as ribonucleoproteins, although some evidence implied that some eukaryotes or cellular compartments did not use RNA for RNase P activity. The characterization of PRORP reveals a two-domain enzyme, with an N-terminal domain containing multiple PPR motifs and assumed to achieve target specificity and a C-terminal domain holding catalytic activity. The nature of PRORP interactions with tRNAs suggests that ribonucleoprotein and protein-only RNase P enzymes share a similar substrate binding process

    Crystal structure of 3WJ core revealing divalent ion-promoted thermostability and assembly of the Phi29 hexameric motor pRNA.

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    The bacteriophage phi29 DNA packaging motor, one of the strongest biological motors characterized to date, is geared by a packaging RNA (pRNA) ring. When assembled from three RNA fragments, its three-way junction (3WJ) motif is highly thermostable, is resistant to 8 M urea, and remains associated at extremely low concentrations in vitro and in vivo. To elucidate the structural basis for its unusual stability, we solved the crystal structure of this pRNA 3WJ motif at 3.05 Å. The structure revealed two divalent metal ions that coordinate 4 nt of the RNA fragments. Single-molecule fluorescence resonance energy transfer (smFRET) analysis confirmed a structural change of 3WJ upon addition of Mg2+. The reported pRNA 3WJ conformation is different from a previously published construct that lacks the metal coordination sites. The phi29 DNA packaging motor contains a dodecameric connector at the vertex of the procapsid, with a central pore for DNA translocation. This portal connector serves as the foothold for pRNA binding to procapsid. Subsequent modeling of a connector/pRNA complex suggests that the pRNA of the phi29 DNA packaging motor exists as a hexameric complex serving as a sheath over the connector. The model of hexameric pRNA on the connector agrees with AFM images of the phi29 pRNA hexamer acquired in air and matches all distance parameters obtained from cross-linking, complementary modification, and chemical modification interference

    Structural Insights into Viral Determinants of Nematode Mediated Grapevine fanleaf virus Transmission

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    Many animal and plant viruses rely on vectors for their transmission from host to host. Grapevine fanleaf virus (GFLV), a picorna-like virus from plants, is transmitted specifically by the ectoparasitic nematode Xiphinema index. The icosahedral capsid of GFLV, which consists of 60 identical coat protein subunits (CP), carries the determinants of this specificity. Here, we provide novel insight into GFLV transmission by nematodes through a comparative structural and functional analysis of two GFLV variants. We isolated a mutant GFLV strain (GFLV-TD) poorly transmissible by nematodes, and showed that the transmission defect is due to a glycine to aspartate mutation at position 297 (Gly297Asp) in the CP. We next determined the crystal structures of the wild-type GFLV strain F13 at 3.0 Å and of GFLV-TD at 2.7 Å resolution. The Gly297Asp mutation mapped to an exposed loop at the outer surface of the capsid and did not affect the conformation of the assembled capsid, nor of individual CP molecules. The loop is part of a positively charged pocket that includes a previously identified determinant of transmission. We propose that this pocket is a ligand-binding site with essential function in GFLV transmission by X. index. Our data suggest that perturbation of the electrostatic landscape of this pocket affects the interaction of the virion with specific receptors of the nematode's feeding apparatus, and thereby severely diminishes its transmission efficiency. These data provide a first structural insight into the interactions between a plant virus and a nematode vector

    Islet Endothelial Activation and Oxidative Stress Gene Expression Is Reduced by IL-1Ra Treatment in the Type 2 Diabetic GK Rat

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    Inflammation followed by fibrosis is a component of islet dysfunction in both rodent and human type 2 diabetes. Because islet inflammation may originate from endothelial cells, we assessed the expression of selected genes involved in endothelial cell activation in islets from a spontaneous model of type 2 diabetes, the Goto-Kakizaki (GK) rat. We also examined islet endotheliuml/oxidative stress (OS)/inflammation-related gene expression, islet vascularization and fibrosis after treatment with the interleukin-1 (IL-1) receptor antagonist (IL-1Ra)

    Optimization based on the study of trajectories in a random environment : application to the control of production systems

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    Dans le contexte international actuel, les entreprises doivent être capables de développer des stratégies leur permettant d’augmenter leurs performances et d'être plus compétitives. Cet environnement très évolutif introduit de nombreuses incertitudes et contraintes qui rendent beaucoup plus difficile la détermination de la meilleure stratégie à adopter selon les objectifs fixés. Le travail développé dans cette thèse, s’inscrit dans ce cadre et nous nous intéressons plus précisément à l'optimisation du pilotage de systèmes de production soumis à aléas (comme les pannes des machines) de façon à minimiser les coûts globaux. Pour la modélisation, le modèle à flux continus est choisi afin de représenter le flux de matières transitant dans le système. Ce modèle, nous permet également d'intégrer les délais de transfert et de transport entre les différents éléments qui composent le système.La méthode de résolution analytique utilisée est issue des méthodes d’analyse de sensibilité et correspond à la méthode d’analyse des perturbations infinitésimales (IPA). Cette méthode nous permet de déduire à partir d'une étude de trajectoires, un gradient du coût global pour chacune des études menées. Nous prouvons alors que ces gradients ne sont pas biaisés. Cela nous permet de les utiliser dans des simulations numériques. Ces simulations nous permettent de déterminer les variables de décision des stratégies de pilotage du système considéré. Le pilotage intègre la maintenance à la production. Pour le pilotage des systèmes considérés, nous considérons également des contraintes liées aux trois piliers du développement durable. Ces contraintes sont intégrées à nos modèles sous forme de coûts. Ainsi, les coûts globaux peuvent comporter en plus de coûts purement économiques, des coûts environnementaux et sociaux. Nous montrons donc que l'approche de résolution proposée peut être utilisée pour optimiser d'autres objectifs dans un cadre de durabilitéIn the current international context, companies need to be able to develop strategies to increase their performance and become more competitive. This rapidly changing environment introduces many uncertainties and constraints, making much more difficult to determine the best strategy according to the objectives set. The work developed in this thesis falls within this context and, more precisely, we are interested in the optimization of the control of production systems subject to uncertainties (such as machine failures) in order to minimize the overall costs. For modeling, the continuous-flow model is chosen to represent the material flow moving through the system. This model allows us to integrate transfer and transportation delays between the different components of the system. The analytical resolution method used is based on the sensitivity analysis methods and corresponds to the infinitesimal perturbation analysis method (IPA). This method allows us to deduce, based on learning from sample-paths, a gradient of the overall cost for each of the studies conducted. We prove that these gradients are unbiased, which allows us to use them in numerical simulations. The simulations allow us to determine the decision variables of control strategies of the studied systems. The control integrates the maintenance to the production. For the control of the considered systems, we also take into account constraints linked to the three pillars of sustainable development. These constraints are integrated into our models in terms of costs. Thus, the overall costs may not only include purely economic costs, but also environmental and social costs. We show that the proposed resolution approach may be used to optimize other objectives within a sustainability framewor

    Biocrystallography: past, present, future

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    The evolution of biocrystallography from the pioneers’ time to the present era of global biology is presented in relation to the development of methodological and instrumental advances for molecular sample preparation and structure elucidation over the last 6 decades. The interdisciplinarity of the field that generated cross-fertilization between physics- and biology-focused themes is emphasized. In particular, strategies to circumvent the main bottlenecks of biocrystallography are discussed. They concern (i) the way macromolecular targets are selected, designed, and characterized, (ii) crystallogenesis and how to deal with physical and biological parameters that impact crystallization for growing and optimizing crystals, and (iii) the methods for crystal analysis and 3D structure determination. Milestones that have marked the history of biocrystallography illustrate the discussion. Finally, the future of the field is envisaged. Wide gaps of the structural space need to be filed and membrane proteins as well as intrinsically unstructured proteins still constitute challenging targets. Solving supramolecular assemblies of increasing complexity, developing a “4D biology” for decrypting the kinematic changes in macromolecular structures in action, integrating these structural data in the whole cell organization, and deciphering biomedical implications will represent the new frontiers
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