Christophe Combet
University of Lyon
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Featured researches published by Christophe Combet.
Hepatology | 2005
Peter Simmonds; Jens Bukh; Christophe Combet; Gilbert Deléage; Nobuyuki Enomoto; Stephen M. Feinstone; Phillippe Halfon; Geneviève Inchauspé; Carla Kuiken; Geert Maertens; Masashi Mizokami; Donald G. Murphy; Hiroaki Okamoto; Jean-Michel Pawlotsky; François Penin; Erwin Sablon; Tadasu Shin-I; Lieven Stuyver; Heinz-Jürgen Thiel; Sergei Viazov; Amy J. Weiner; Anders Widell
International standardization and coordination of the nomenclature of variants of hepatitis C virus (HCV) is increasingly needed as more is discovered about the scale of HCV‐related liver disease and important biological and antigenic differences that exist between variants. A group of scientists expert in the field of HCV genetic variability, and those involved in development of HCV sequence databases, the Hepatitis Virus Database (Japan), euHCVdb (France), and Los Alamos (United States), met to re‐examine the status of HCV genotype nomenclature, resolve conflicting genotype or subtype names among described variants of HCV, and draw up revised criteria for the assignment of new genotypes as they are discovered in the future. A comprehensive listing of all currently classified variants of HCV incorporates a number of agreed genotype and subtype name reassignments to create consistency in nomenclature. The paper also contains consensus proposals for the classification of new variants into genotypes and subtypes, which recognizes and incorporates new knowledge of HCV genetic diversity and epidemiology. A proposal was made that HCV variants be classified into 6 genotypes (representing the 6 genetic groups defined by phylogenetic analysis). Subtype name assignment will be either confirmed or provisional, depending on the availability of complete or partial nucleotide sequence data, or remain unassigned where fewer than 3 examples of a new subtype have been described. In conclusion, these proposals provide the framework by which the HCV databases store and provide access to data on HCV, which will internationally coordinate the assignment of new genotypes and subtypes in the future. (HEPATOLOGY 2005.)
Trends in Biochemical Sciences | 2000
Christophe Combet; Christophe Blanchet; Christophe Geourjon; Gilbert Deléage
The authors like to acknowledge financial support from CNRS, MENESR and Region Rhone-Alpes and thank all computing teams that have developed biocomputing methods for protein sequence analysis. C. Combet is the recipient of an ANRS doctoral fellowship. Thanks are due to D. Mandelman for textual improvements.
Bioinformatics | 2002
Christophe Combet; Martin Jambon; Gilbert Deléage; Christophe Geourjon
Geno3D (http://geno3d-pbil.ibcp.fr) is an automatic web server for protein molecular modelling. Starting with a query protein sequence, the server performs the homology modelling in six successive steps: (i) identify homologous proteins with known 3D structures by using PSI-BLAST; (ii) provide the user all potential templates through a very convenient user interface for target selection; (iii) perform the alignment of both query and subject sequences; (iv) extract geometrical restraints (dihedral angles and distances) for corresponding atoms between the query and the template; (v) perform the 3D construction of the protein by using a distance geometry approach and (vi) finally send the results by e-mail to the user.
Journal of Virology | 2001
François Penin; Christophe Combet; Georgios Germanidis; Pierre-Olivier Frainais; Gilbert Deléage; Jean-Michel Pawlotsky
ABSTRACT Chronic hepatitis C virus (HCV) infection is a major cause of liver disease. The HCV polyprotein contains a hypervariable region (HVR1) located at the N terminus of the second envelope glycoprotein E2. The strong variability of this 27-amino-acid region is due to its apparent tolerance of amino acid substitutions together with strong selection pressures exerted by anti-HCV immune responses. No specific function has so far been attributed to HVR1. However, its presence at the surface of the viral particle suggests that it might be involved in viral entry. This would imply that HVR1 is not randomly variable. We sequenced 460 HVR1 clones isolated at various times from six HCV-infected patients receiving alpha interferon therapy (which exerts strong pressure towards quasispecies genetic evolution) and analyzed their amino acid sequences together with those of 1,382 nonredundant HVR1 sequences collected from the EMBL database. We found that (i) despite strong amino acid sequence variability related to strong pressures towards change, the chemicophysical properties and conformation of HVR1 were highly conserved, and (ii) HVR1 is a globally basic stretch, with the basic residues located at specific sequence positions. This conservation of positively charged residues indicates that HVR1 is involved in interactions with negatively charged molecules such as lipids, proteins, or glycosaminoglycans (GAGs). As with many other viruses, possible interaction with GAGs probably plays a role in host cell recognition and attachment.
Nucleic Acids Research | 2007
Christophe Combet; Nicolas Garnier; Céline Charavay; Delphine Grando; Daniel Crisan; Julien Lopez; Alexandre Dehne-Garcia; Christophe Geourjon; Emmanuel Bettler; Chantal Hulo; Philippe Le Mercier; Ralf Bartenschlager; Helmut M. Diepolder; Darius Moradpour; Jean-Michel Pawlotsky; Charles M. Rice; Christian Trepo; François Penin; Gilbert Deléage
The hepatitis C virus (HCV) genome shows remarkable sequence variability, leading to the classification of at least six major genotypes, numerous subtypes and a myriad of quasispecies within a given host. A database allowing researchers to investigate the genetic and structural variability of all available HCV sequences is an essential tool for studies on the molecular virology and pathogenesis of hepatitis C as well as drug design and vaccine development. We describe here the European Hepatitis C Virus Database (euHCVdb, ), a collection of computer-annotated sequences based on reference genomes. The annotations include genome mapping of sequences, use of recommended nomenclature, subtyping as well as three-dimensional (3D) molecular models of proteins. A WWW interface has been developed to facilitate database searches and the export of data for sequence and structure analyses. As part of an international collaborative effort with the US and Japanese databases, the European HCV Database (euHCVdb) is mainly dedicated to HCV protein sequences, 3D structures and functional analyses.
Computers in Biology and Medicine | 2001
Gilbert Deléage; Christophe Combet; Christophe Blanchet; Christophe Geourjon
Programs devoted to the analysis of protein sequences exist either as stand-alone programs or as Web servers. However, stand-alone programs can hardly accommodate for the analysis that involves comparisons on databanks, which require regular updates. Moreover, Web servers cannot be as efficient as stand-alone programs when dealing with real-time graphic display. We describe here a stand-alone software program called ANTHEPROT, which is intended to perform protein sequence analysis with a high integration level and clients/server capabilities. It is an interactive program with a graphical user interface that allows handling of protein sequence and data in a very interactive and convenient manner. It provides many methods and tools, which are integrated into a graphical user interface. ANTHEPROT is available for Windows-based systems. It is able to connect to a Web server in order to perform large-scale sequence comparison on up-to-date databanks. ANTHEPROT is freely available to academic users and may be downloaded at http://pbil.ibcp.fr/ANTHEPROT.
Hepatology | 2006
Carla Kuiken; Christophe Combet; Jens Bukh; Tadasu Shin-I; Gilbert Deléage; Masashi Mizokami; Russell Richardson; Erwin Sablon; Karina Yusim; Jean-Michel Pawlotsky; Peter Simmonds
InOctober 2004, an expert meeting was convened in parallel with the 11th Symposium onHepatitis C and Related Viruses to discuss how HCV sequence databases could introduce and facilitate a standardized numbering system for HCV nucleotides, proteins and epitopes. Inconsistent and inaccurate numbering of locations in DNA and protein sequences is a problem in the HCV scientific literature. Consistency in numbering is increasingly required for functional and clinical studies of HCV. For example, an unambiguous method for referring to amino acid substitutions at specific positions in NS3 and NS5B coding sequences associated with resistance to specific HCV inhibitors is essential in the investigation of antiviral treatment. This article provides a practical guide to help circumvent these problems in the future, and to bring a common language into discussions in the field. The scope of the current system is limited to the HCV polyprotein and the untranslated regions (UTRs); because of the controversial nature and extreme length variation of the alternate reading frame proteins, numbering for these proteins, if needed, will be decided at a later date. We propose a numbering system adapted from the Los Alamos HIV database,1 with elements from the hepatitis B virus numbering system.2 The system comprises both nucleotides and amino acid sequences and epitopes. It uses the full length genome sequence of isolate H77 (accession number AF009606) as a reference, and includes a method for numbering insertions and deletions relative to this reference sequence. H77 was chosen because it is a commonly used reference strain for many different kinds of functional studies. Furthermore, RNA transcripts from this sequence are of demonstrated infectivity,3,4 providing evidence that the 5 and 3 ends of the sequence are complete. Table 1 lists the boundaries of HCV genomic regions and Fig. 1 provides detailed nucleic acid and amino acid numbering over the complete AF009606 HCV genome sequence.
Nature | 2014
Aurore Fleurie; Christian Lesterlin; Sylvie Manuse; Chao Zhao; Caroline Cluzel; Jean-Pierre Lavergne; Mirita Franz-Wachtel; Boris Macek; Christophe Combet; Erkin Kuru; Michael S. VanNieuwenhze; Yves V. Brun; David J. Sherratt; Christophe Grangeasse
In every living organism, cell division requires accurate identification of the division site and placement of the division machinery. In bacteria, this process is traditionally considered to begin with the polymerization of the highly conserved tubulin-like protein FtsZ into a ring that locates precisely at mid-cell. Over the past decades, several systems have been reported to regulate the spatiotemporal assembly and placement of the FtsZ ring. However, the human pathogen Streptococcus pneumoniae, in common with many other organisms, is devoid of these canonical systems and the mechanisms of positioning the division machinery remain unknown. Here we characterize a novel factor that locates at the division site before FtsZ and guides septum positioning in pneumococcus. Mid-cell-anchored protein Z (MapZ) forms ring structures at the cell equator and moves apart as the cell elongates, therefore behaving as a permanent beacon of division sites. MapZ then positions the FtsZ ring through direct protein–protein interactions. MapZ-mediated control differs from previously described systems mostly on the basis of negative regulation of FtsZ assembly. Furthermore, MapZ is an endogenous target of the Ser/Thr kinase StkP, which was recently shown to have a central role in cytokinesis and morphogenesis of S. pneumoniae. We show that both phosphorylated and non-phosphorylated forms of MapZ are required for proper Z-ring formation and dynamics. Altogether, this work uncovers a new mechanism for bacterial cell division that is regulated by phosphorylation and illustrates that nature has evolved a diversity of cell division mechanisms adapted to the different bacterial clades.
PLOS Genetics | 2014
Aurore Fleurie; Sylvie Manuse; Chao Zhao; Nathalie Campo; Caroline Cluzel; Jean-Pierre Lavergne; Céline Freton; Christophe Combet; Sébastien Guiral; Boumediene Soufi; Boris Macek; Erkin Kuru; Michael S. VanNieuwenhze; Yves V. Brun; Anne-Marie Di Guilmi; Jean-Pierre Claverys; Anne Galinier; Christophe Grangeasse
Despite years of intensive research, much remains to be discovered to understand the regulatory networks coordinating bacterial cell growth and division. The mechanisms by which Streptococcus pneumoniae achieves its characteristic ellipsoid-cell shape remain largely unknown. In this study, we analyzed the interplay of the cell division paralogs DivIVA and GpsB with the ser/thr kinase StkP. We observed that the deletion of divIVA hindered cell elongation and resulted in cell shortening and rounding. By contrast, the absence of GpsB resulted in hampered cell division and triggered cell elongation. Remarkably, ΔgpsB elongated cells exhibited a helical FtsZ pattern instead of a Z-ring, accompanied by helical patterns for DivIVA and peptidoglycan synthesis. Strikingly, divIVA deletion suppressed the elongated phenotype of ΔgpsB cells. These data suggest that DivIVA promotes cell elongation and that GpsB counteracts it. Analysis of protein-protein interactions revealed that GpsB and DivIVA do not interact with FtsZ but with the cell division protein EzrA, which itself interacts with FtsZ. In addition, GpsB interacts directly with DivIVA. These results are consistent with DivIVA and GpsB acting as a molecular switch to orchestrate peripheral and septal PG synthesis and connecting them with the Z-ring via EzrA. The cellular co-localization of the transpeptidases PBP2x and PBP2b as well as the lipid-flippases FtsW and RodA in ΔgpsB cells further suggest the existence of a single large PG assembly complex. Finally, we show that GpsB is required for septal localization and kinase activity of StkP, and therefore for StkP-dependent phosphorylation of DivIVA. Altogether, we propose that the StkP/DivIVA/GpsB triad finely tunes the two modes of peptidoglycan (peripheral and septal) synthesis responsible for the pneumococcal ellipsoid cell shape.
Bioinformatics | 2005
Martin Jambon; Olivier Andrieu; Christophe Combet; Gilbert Deléage; François Delfaud; Christophe Geourjon
UNLABELLED We provide the scientific community with a web server which gives access to SuMo, a bioinformatic system for finding similarities in arbitrary 3D structures or substructures of proteins. SuMo is based on a unique representation of macromolecules using selected triplets of chemical groups having their own geometry and symmetry, regardless of the restrictive notions of main chain and lateral chains of amino acids. The heuristic for extracting similar sites was used to drive two major large-scale approaches. First, searching for ligand binding sites onto a query structure has been made possible by comparing the structure against each of the ligand binding sites found in the Protein Data Bank (PDB). Second, the reciprocal process, i.e. searching for a given 3D site of interest among the structures of the PDB is also possible and helps detect cross-reacting targets in drug design projects. AVAILABILITY The web server is freely accessible to academia through http://sumo-pbil.ibcp.fr and full support is available from MEDIT (http://www.medit.fr). CONTACT [email protected].