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38 results on '"Le Goff, Gaelle"'

3. A nanobody against the VWF A3 domain detects ADAMTS13-induced proteolysis in congenital and acquired VWD

Author

Kizlik-Masson, Claire, Peyron, Ivan, Gangnard, Stéphane, Le Goff, Gaelle, Lenoir, Solen M, Damodaran, Sandra, Clavel, Marie, Roullet, Stéphanie, Regnault, Véronique, Rauch, Antoine, Vincent, Flavien, Jeanpierre, Emmanuelle, Dupont, Annabelle, Ternisien, Catherine, Donnet, Thibault, Christophe, Olivier D., van Belle, Eric, Denis, Cécile V., Casari, Caterina, Susen, Sophie, and Lenting, Peter J.

Published
2023
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4. Recent Advances in the Understanding of Molecular Mechanisms of Resistance in Noctuid Pests.

Author

Le Goff, Gaelle, Le Goff, Gaelle, and Nauen, Ralf

Subjects
Biology, life sciences, Research & information: general, 1'S-1'-Acetoxychavicol acetate, ABC Transporter, ABCC2, ATP switch model, ATP-Binding Cassette, ATP-binding cassette transporters, Alpinia galanga, Bacillus thuringiensis, Bt resistance, Chloridea, Cry protein, Cry1F, Cytochrome P450, Fall armyworm, Helicoverpa, Helicoverpa armigera, Heliothis, Indonesia, Kenya, LAMP, Mythimna loreyi, Noctuidae, Sf9 cells, Spodoptera, Spodoptera frugiperda, Trichoplusia, biological invasion, botanical pesticide, carboxyl/cholinesterases, corn strain, cytochromes P450, development, diagnostic PCR, dynamic energy budget (DEB) theory, fall armyworm, genetics, genotyping, glutathione S-transferases, insect rearing, insecticide resistance, insecticide resistance genes, insertions sites, invasive pest, n/a, pore-forming toxin, reference genes, resistance, resistance management, resistance screen, rice armyworm, rice strain, soybean looper, target-site mutations, targeted sequencing, temperature, transposable elements, variability
Abstract

Summary: This book brings together the papers published in the Special Issue "Recent advances in the understanding of molecular mechanisms of resistance in Noctuid pests" in the journal Insects in 2021. It contains 10 articles that are either original results or reviews. The focus is on insects of the noctuid family, as they are among the most devastating crop pests on the planet. Understanding the molecular mechanisms that allow these insects to become resistant to insecticides is essential for the implementation of sustainable control methods and resistance management strategies.

6. Author Correction: Chromosomal scale assembly of parasitic wasp genome reveals symbiotic virus colonization

Author

Gauthier, Jérémy, Boulain, Hélène, van Vugt, Joke J. F. A., Baudry, Lyam, Persyn, Emma, Aury, Jean-Marc, Noel, Benjamin, Bretaudeau, Anthony, Legeai, Fabrice, Warris, Sven, Chebbi, Mohamed A., Dubreuil, Géraldine, Duvic, Bernard, Kremer, Natacha, Gayral, Philippe, Musset, Karine, Josse, Thibaut, Bigot, Diane, Bressac, Christophe, Moreau, Sébastien, Periquet, Georges, Harry, Myriam, Montagné, Nicolas, Boulogne, Isabelle, Sabeti-Azad, Mahnaz, Maïbèche, Martine, Chertemps, Thomas, Hilliou, Frédérique, Siaussat, David, Amselem, Joëlle, Luyten, Isabelle, Capdevielle-Dulac, Claire, Labadie, Karine, Merlin, Bruna Laís, Barbe, Valérie, de Boer, Jetske G., Marbouty, Martial, Cônsoli, Fernando Luis, Dupas, Stéphane, Hua-Van, Aurélie, Le Goff, Gaelle, Bézier, Annie, Jacquin-Joly, Emmanuelle, Whitfield, James B., Vet, Louise E. M., Smid, Hans M., Kaiser, Laure, Koszul, Romain, Huguet, Elisabeth, Herniou, Elisabeth A., and Drezen, Jean-Michel

Published
2021
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7. Chromosomal scale assembly of parasitic wasp genome reveals symbiotic virus colonization

Author

Gauthier, Jérémy, Boulain, Hélène, van Vugt, Joke J. F. A., Baudry, Lyam, Persyn, Emma, Aury, Jean-Marc, Noel, Benjamin, Bretaudeau, Anthony, Legeai, Fabrice, Warris, Sven, Chebbi, Mohamed A., Dubreuil, Géraldine, Duvic, Bernard, Kremer, Natacha, Gayral, Philippe, Musset, Karine, Josse, Thibaut, Bigot, Diane, Bressac, Christophe, Moreau, Sébastien, Periquet, Georges, Harry, Myriam, Montagné, Nicolas, Boulogne, Isabelle, Sabeti-Azad, Mahnaz, Maïbèche, Martine, Chertemps, Thomas, Hilliou, Frédérique, Siaussat, David, Amselem, Joëlle, Luyten, Isabelle, Capdevielle-Dulac, Claire, Labadie, Karine, Merlin, Bruna Laís, Barbe, Valérie, de Boer, Jetske G., Marbouty, Martial, Cônsoli, Fernando Luis, Dupas, Stéphane, Hua-Van, Aurélie, Le Goff, Gaelle, Bézier, Annie, Jacquin-Joly, Emmanuelle, Whitfield, James B., Vet, Louise E. M., Smid, Hans M., Kaiser, Laure, Koszul, Romain, Huguet, Elisabeth, Herniou, Elisabeth A., and Drezen, Jean-Michel

Published
2021
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10. A nanobody against the von Willebrand factor A3-domain detects ADAMTS13-induced proteolysis in congenital & acquired VWD

Author

Kizlik-Masson, Claire, primary, Peyron, Ivan, additional, Gangnard, Stéphane, additional, Le Goff, Gaelle Claire, additional, Lenoir, Solen, additional, Damodaran, Sandra, additional, Clavel, Marie, additional, Roullet, Stéphanie, additional, Regnault, Veronique, additional, Rauch, Antoine, additional, Vincent, Flavien, additional, Jeanpierre, Emmanuelle, additional, Dupont, Annabelle, additional, Ternisien, Catherine, additional, Donnet, Thibault, additional, Christophe, Olivier D., additional, Van Belle, Eric, additional, Denis, Cecile V, additional, Casari, Caterina, additional, Susen, Sophie, additional, and Lenting, Peter J, additional

Published
2022
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16. Robust, high-throughput solution for blood group genotyping

Author

Le Goff, Gaelle C., Bres, Jean-Charles, Rigal, Dominique, Blum, Loic J., and Marquette, Christophe A.

Subjects
Genotype -- Research, Blood -- Chemical properties, Chemistry
Abstract

With the concomitant increase of blood transfusions and safety rules, there is a growing need to integrate high-throughput and multiparametric assays within blood qualification centers. Using a robust and automated solution, we describe a new method for extended blood group genotyping (HiFi-Blood 96) bringing together the throughput possibilities of complete automation and the microarray multiplexed analysis potential. Our approach provides a useful resource for upgrading blood qualification center facilities. A set of six single-nucleotide polymorphisms (SNPs) associated with clinically important blood group antigens (Kell, Kidd, Duffy, and MNS systems) were selected and the corresponding genotyping assays developed. A panel of 293 blood samples was used to validate the approach. The resulting genotypes were compared to phenotypes previously determined by standard serologic techniques, and excellent correlations were found for five SNPs out of six. For the Ken, Kidd, Duffy, and MNS3/MNS4 systems, high matching percentages of 100%, 98.9%, 97.7%, and 97.4% were obtained, respectively, whereas a concordance percentage of 83.3% only was attained for the MNS1/MNS2 polymorphism. 10.1021/ac101008d

Published
2010

17. Ending sexual violence in the Democratic Republic of the Congo.

Author

Breton-Le Goff, Gaelle

Subjects
Family violence -- Laws, regulations and rules, Rape victims -- Laws, regulations and rules, Human rights -- Laws, regulations and rules, Sex crimes -- Laws, regulations and rules, Government regulation
Published
2010

19. Mondialisation et Etat de droit.

Author

Breton-Le Goff, Gaelle

Subjects
Mondialisation et Etat de droit (Book) -- Mockle, Daniel, Books -- Book reviews
Abstract

Daniel Mockle, dir., Mondialisation et Etat de droit, Bruxelles, Bruylant, 2002. Pp. xiv, 411. Contradiction, paradoxe et dilemme sont les maitres mots de cet ouvrage collectif concocte sous la direction [...]

Published
2003

20. Two genomes of highly polyphagous lepidopteran pests (Spodoptera frugiperda, Noctuidae) with different host-plant ranges

Author

Gouin, Anaïs, Bretaudeau, Anthony, Nam, Kiwoong, Gimenez, Sylvie, Aury, Jean-Marc, Duvic, Bernard, Hilliou, Frederique, Durand, Nicolas, Montagné, Nicolas, Darboux, Isabelle, Kuwar, Suyog, Chertemps, Thomas, Siaussat, David, Bretschneider, Anne, Moné, Yves, Ahn, Seung-Joon, Hänniger, Sabine, Gosselin Grenet, Anne-Sophie, Neunemann, David, Maumus, Florian, Luyten, Isabelle, Labadie, Karine, Xu, Wei, Koutroumpa, Fotini, Escoubas, Jean-Michel, Llopis, Angel, Maïbèche-Coisne, Martine, Salasc, Fanny, Tomar, Archana, Anderson, Alisha, Khan, Sher, DUMAS, Pascaline, ORSUCCI, MARION, Guy, Julie, Belser, Caroline, Alberti, Adriana, Noel, Benjamin, Couloux, Arnaud, Mercier, Jonathan, Nidelet, Sabine, Dubois, Emeric, Liu, Nai-Yong, Boulogne, Isabelle, Mirabeau, Olivier, Le Goff, Gaelle, Gordon, Karl, Oakeshott, John, Consoli, Fernando, Volkoff, Anne-Nathalie, Fescemyer, Howard, Marden, James, Luthe, Dawn, Herrero, Salvador, Heckel, David, Wincker, Patrick, Kergoat, Gael, Amselem, Joelle, Quesneville, Hadi, Groot, Astrid, Jacquin-Joly, Emmanuelle, Nègre, Nicolas, Lemaitre, Claire, Legeai, Fabrice, D’Alençon, Emmanuelle, Fournier, Philippe, Scalable, Optimized and Parallel Algorithms for Genomics (GenScale), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Plateforme bioinformatique GenOuest [Rennes], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Plateforme Génomique Santé Biogenouest®-Inria Rennes – Bretagne Atlantique, Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Diversité, Génomes & Interactions Microorganismes - Insectes [Montpellier] (DGIMI), Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Institut Sophia Agrobiotech (ISA), Centre National de la Recherche Scientifique (CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Recherche Agronomique (INRA), Laboratoire des Sciences de l'Information et des Systèmes (LSIS), Centre National de la Recherche Scientifique (CNRS)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Université de Toulon (UTLN)-Aix Marseille Université (AMU), Sorbonne Université (SU), Max Planck Institute for Chemical Ecology, Max-Planck-Gesellschaft, Institut d'écologie et des sciences de l'environnement de Paris (iEES), Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Unité de Recherche Génomique Info (URGI), Institut National de la Recherche Agronomique (INRA), School of Veterinary and Life Sciences [Murdoch], Murdoch University, Universitat Politècnica de València (UPV), Centre for DNA Fingerprinting and Diagnostics (CDFD), CSIRO Ecosystem Sciences, Institute for Biodiversity and Ecosystem Dynamics (IBED), Institut de Génomique Fonctionnelle (IGF), Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS), Southwest Forestry University (SWFU), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Universidade de São Paulo (USP), Pennsylvania State University (Penn State), Penn State System, Genoscope project AP2010, French National Research Agency [ANR-12-BSV7-0004-01], Institut Universitaire de France, USDA AFRI [2010-65106-20656], Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Université de Rennes (UR)-Plateforme Génomique Santé Biogenouest®-Inria Rennes – Bretagne Atlantique, Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST, Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Institut National de la Recherche Agronomique (INRA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Universidade de São Paulo = University of São Paulo (USP), Lemaitre, Claire, IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-CentraleSupélec-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Rennes (ENS Rennes)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Plateforme Génomique Santé Biogenouest®-GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Rennes (ENS Rennes)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Université de Montpellier (UM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de la Recherche Agronomique (INRA), Evolutionary and Population Biology (IBED, FNWI), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut Sophia Agrobiotech [Sophia Antipolis] (ISA), Institut National de la Recherche Agronomique (INRA)-Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Centre National de la Recherche Scientifique (CNRS), Sorbonne Universités, Institut d'écologie et des sciences de l'environnement de Paris (IEES), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Recherche Agronomique (INRA), and Universidad Politécnica de Valencia

Subjects
Crops, Agricultural, Genome, Insect, lcsh:R, fungi, lcsh:Medicine, Spodoptera, Adaptation, Physiological, Article, Species Specificity, Larva, Animals, lcsh:Q, Herbivory, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], lcsh:Science, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
Abstract

International audience; Emergence of polyphagous herbivorous insects entails significant adaptation to recognize, detoxify and digest a variety of host-plants. Despite of its biological and practical importance - since insects eat 20% of crops - no exhaustive analysis of gene repertoires required for adaptations in generalist insect herbivores has previously been performed. The noctuid moth Spodoptera frugiperda ranks as one of the world’s worst agricultural pests. This insect is polyphagous while the majority of other lepidopteran herbivores are specialist. It consists of two morphologically indistinguishable strains (“C” and “R”) that have different host plant ranges. To describe the evolutionary mechanisms that both enable the emergence of polyphagous herbivory and lead to the shift in the host preference, we analyzed whole genome sequences from laboratory and natural populations of both strains. We observed huge expansions of genes associated with chemosensation and detoxification compared with specialist Lepidoptera. These expansions are largely due to tandem duplication, a possible adaptation mechanism enabling polyphagy. Individuals from natural C and R populations show significant genomic differentiation. We found signatures of positive selection in genes involved in chemoreception, detoxification and digestion, and copy number variation in the two latter gene families, suggesting an adaptive role for structural variation.

Published
2017

24. Dark chemical matter as a promising starting point for drug lead discovery

Author

Wassermann, Anne Mai, primary, Lounkine, Eugen, additional, Hoepfner, Dominic, additional, Le Goff, Gaelle, additional, King, Frederick J, additional, Studer, Christian, additional, Peltier, John M, additional, Grippo, Melissa L, additional, Prindle, Vivian, additional, Tao, Jianshi, additional, Schuffenhauer, Ansgar, additional, Wallace, Iain M, additional, Chen, Shanni, additional, Krastel, Philipp, additional, Cobos-Correa, Amanda, additional, Parker, Christian N, additional, Davies, John W, additional, and Glick, Meir, additional

Published
2015
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25. Multiplexed immunoassay for the rapid detection of anti-tumor-associated antigens antibodies

Author

a Marquette, Christophe, Desmet, Cloé, Le Goff, Gaelle, J Blum, Loïc, Bres, Jean-Charles, Rigal, Dominique, N Marche, Patrice, Institut de Chimie et Biochimie Moléculaires et Supramoléculaires (ICBMS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut de Chimie du CNRS (INC)-École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique (CNRS), AXO Science (Axo S), Etablissement Français du Sang - Alpes-Méditerranée (EFS - Alpes-Méditerranée), Etablissement Français du Sang, HP2, Pole Biol CHU Grenoble (INSERM, U1042), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), and Depierre, Frédérique

Subjects
[SDV.CAN] Life Sciences [q-bio]/Cancer, [SDV.CAN]Life Sciences [q-bio]/Cancer, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2011

28. Resistance evolution in Drosophila: the case of CYP6G1.

Author

Le Goff, Gaelle and Hilliou, Frédérique

Subjects
INSECTICIDE resistance, DDT (Insecticide), CYTOCHROME P-450, TRANSPOSONS, BIOLOGICAL evolution, PHENYLUREA compounds
Abstract

The massive use of DDT as an insecticide between 1940 and 1970 has resulted in the emergence of a resistant population of insects. One of the main metabolic mechanisms developed by resistant insects involves detoxification enzymes such as cytochrome P450s. These enzymes can metabolise the insecticide to render it less toxic and facilitate its elimination from the organism. The P450 Cyp6g1 was identified as the major factor responsible for DDT resistance in Drosophila melanogaster field populations. In this article, we review the data available for this gene since it was associated with resistance in 2002. The knowledge gained on Cyp6g1 allows a better understanding of the evolution of insecticide resistance mechanisms and highlights the major role of transposable elements in evolutionary processes. © 2016 Society of Chemical Industry [ABSTRACT FROM AUTHOR]

Published
2017
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31. A nanobody against the von Willebrand factor A3 domain detects ADAMTS13-induced proteolysis in congenital and acquired von Willebrand disease

Author

Kizlik-Masson, Claire, Peyron, Ivan, Gangnard, Stéphane, Le Goff, Gaelle, Lenoir, Solen M, Damodaran, Sandra, Clavel, Marie, Roullet, Stéphanie, Regnault, Véronique, Rauch, Antoine, Vincent, Flavien, Jeanpierre, Emmanuelle, Dupont, Annabelle, Ternisien, Catherine, Donnet, Thibault, Christophe, Olivier D., van Belle, Eric, Denis, Cécile V., Casari, Caterina, Susen, Sophie, and Lenting, Peter J.

Abstract

•Nanobody KB-VWF-D3.1 binds to the collagen-binding site in the VWF A3 domain, and it loses its binding upon proteolysis of VWF by ADAMTS13.•KB-VWF-D3.1 identified VWF degradation in patients with VWD, which correlated with a loss of larger VWF multimers.

Published
2023
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34. Resistance to lambda-cyhalothrin in Spanish field populations of Ceratitis capitata and metabolic resistance mediated by P450 in a resistant strain.

Author

Arouri, Rabeh, Le Goff, Gaelle, Hemden, Hiethem, Navarro‐Llopis, Vicente, M'saad, Mariem, Castañera, Pedro, Feyereisen, René, Hernández‐Crespo, Pedro, and Ortego, Félix

Subjects
INSECTICIDE analysis, GENETIC overexpression, PYRETHROIDS, MALATHION, CYHALOTHRIN
Abstract

BACKGROUND The withdrawal of malathion in the European Union in 2009 resulted in a large increase in lambda-cyhalothrin applications for the control of the Mediterranean fruit fly, Ceratitis capitata, in Spanish citrus crops. RESULTS Spanish field populations of C. capitata have developed resistance to lambda-cyhalothrin (6-14-fold), achieving LC50 values (129-287 ppm) higher than the recommended concentration for field treatments (125 ppm). These results contrast with the high susceptibility to lambda-cyhalothrin found in three Tunisian field populations. We have studied the mechanism of resistance in the laboratory-selected resistant strain W- 1K λ (205-fold resistance). Bioassays with synergists showed that resistance was almost completely suppressed by the P450 inhibitor PBO. The study of the expression of 53 P450 genes belonging to the CYP4, CYP6, CYP9 and CYP12 families in C. capitata revealed that CYP6A51 was overexpressed (13-18-fold) in the resistant strain. The W- 1K λ strain also showed high levels of cross-resistance to etofenprox (240-fold) and deltamethrin (150-fold). CONCLUSION Field-evolved resistance to lambda-cyhalothrin has been found in C. capitata. Metabolic resistance mediated by P450 appears to be the main resistance mechanism in the resistant strain W- 1K λ. The levels of cross-resistance found may compromise the effectiveness of other pyrethroids for the control of this species. © 2014 Society of Chemical Industry [ABSTRACT FROM AUTHOR]

Published
2015
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35. The Essential and Enigmatic Role of ABC Transporters in Bt Resistance of Noctuids and Other Insect Pests of Agriculture.

Author

Heckel, David G., Le Goff, Gaelle, and Nauen, Ralf

Subjects
*ATP-binding cassette transporters, *INSECT pests, *NOCTUIDAE, *SMALL molecules, *BACTERIAL toxins, *MONOAMINE transporters, *FALL armyworm
Abstract

Simple Summary: The insect family, Noctuidae, contains some of the most damaging pests of agriculture, including bollworms, budworms, and armyworms. Transgenic cotton and maize expressing Cry-type insecticidal proteins from Bacillus thuringiensis (Bt) are protected from such pests and greatly reduce the need for chemical insecticides. However, evolution of Bt resistance in the insects threatens the sustainability of this environmentally beneficial pest control strategy. Understanding the interaction between Bt toxins and their targets in the insect midgut is necessary to evaluate the risk of resistance evolution. ABC transporters, which in eukaryotes typically expel small molecules from cells, have recently been proposed as a target for the pore-forming Cry toxins. Here we review the literature surrounding this hypothesis in noctuids and other insects. Appreciation of the critical role of ABC transporters will be useful in discovering counterstrategies to resistance, which is already evolving in some field populations of noctuids and other insects. In the last ten years, ABC transporters have emerged as unexpected yet significant contributors to pest resistance to insecticidal pore-forming proteins from Bacillus thuringiensis (Bt). Evidence includes the presence of mutations in resistant insects, heterologous expression to probe interactions with the three-domain Cry toxins, and CRISPR/Cas9 knockouts. Yet the mechanisms by which ABC transporters facilitate pore formation remain obscure. The three major classes of Cry toxins used in agriculture have been found to target the three major classes of ABC transporters, which requires a mechanistic explanation. Many other families of bacterial pore-forming toxins exhibit conformational changes in their mode of action, which are not yet described for the Cry toxins. Three-dimensional structures of the relevant ABC transporters, the multimeric pore in the membrane, and other proteins that assist in the process are required to test the hypothesis that the ATP-switch mechanism provides a motive force that drives Cry toxins into the membrane. Knowledge of the mechanism of pore insertion will be required to combat the resistance that is now evolving in field populations of insects, including noctuids. [ABSTRACT FROM AUTHOR]

Published
2021
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36. Hydrogel microparticles for biosensing

Author

Gaelle C. Le Goff, W. Adam Hill, Patrick S. Doyle, Rathi L. Srinivas, Massachusetts Institute of Technology. Department of Chemical Engineering, Le Goff, Gaelle, Srinivas, Rathi L., and Doyle, Patrick S

Subjects
Materials science, Polymers and Plastics, Organic Chemistry, Microfluidics, General Physics and Astronomy, Nanotechnology, Physics and Astronomy(all), Biocompatible material, Article, Self-healing hydrogels, Materials Chemistry, Particle, Microparticle, Lithography, Biosensor, Microfabrication
Abstract

Due to their hydrophilic, biocompatible, and highly tunable nature, hydrogel materials have attracted strong interest in the recent years for numerous biotechnological applications. In particular, their solution-like environment and non-fouling nature in complex biological samples render hydrogels as ideal substrates for biosensing applications. Hydrogel coatings, and later, gel dot surface microarrays, were successfully used in sensitive nucleic acid assays and immunoassays. More recently, new microfabrication techniques for synthesizing encoded particles from hydrogel materials have enabled the development of hydrogel-based suspension arrays. Lithography processes and droplet-based microfluidic techniques enable generation of libraries of particles with unique spectral or graphical codes, for multiplexed sensing in biological samples. In this review, we discuss the key questions arising when designing hydrogel particles dedicated to biosensing. How can the hydrogel material be engineered in order to tune its properties and immobilize bioprobes inside? What are the strategies to fabricate and encode gel particles, and how can particles be processed and decoded after the assay? Finally, we review the bioassays reported so far in the literature that have used hydrogel particle arrays and give an outlook of further developments of the field. Keywords: Hydrogel; Biosensor; Microparticle; Multiplex assay, Novartis Institutes of Biomedical Research (Presidential Fellowship), Novartis Institutes of Biomedical Research (Education Office), National Cancer Institute (U.S.) (Grant 5R21CA177393-02), National Science Foundation (U.S.) (Grant CMMI-1120724), Institute for Collaborative Biotechnologies (Grant W911NF-09-0001), United States. Army Research Office

Published
2015

37. High‐Throughput Contact Flow Lithography

Author

Patrick S. Doyle, Gaelle C. Le Goff, Ankur Gupta, Jiseok Lee, William Adam Hill, Le Goff, Gaelle, Lee, Ji Seok, Gupta, Ankur, and Doyle, Patrick S

Subjects
Fabrication, Materials science, Communication, General Chemical Engineering, Microfluidics, Flow (psychology), microfluidics, General Engineering, General Physics and Astronomy, Medicine (miscellaneous), Nanotechnology, contact flow lithography, encoded particles, high‐throughput, Biochemistry, Genetics and Molecular Biology (miscellaneous), Communications, 3. Good health, Homogeneous, General Materials Science, hydrogel, Throughput (business), Lithography, Order of magnitude
Abstract

High-throughput fabrication of graphically encoded hydrogel microparticles is achieved by combining flow contact lithography in a multichannel microfluidic device and a high capacity 25 mm LED UV source. Production rates of chemically homogeneous particles are improved by two orders of magnitude. Additionally, the custom-built contact lithography instrument provides an affordable solution for patterning complex microstructures on surfaces., Novartis Institutes of Biomedical Research. Education Office, National Science Foundation (U.S.) (Grants CMMI-1120724 and DMR-1006147), United States. Army Research Office (Institute for Collaborative Biotechnologies. Grant W911NF-09-0001)

Published
2015

38. The genetics and genomics of insecticide resistance.

Author

Ffrench-Constant RH, Daborn PJ, and Le Goff G

Subjects
Acetylcholinesterase genetics, Animals, Biological Evolution, Cytochrome P-450 Enzyme System classification, Cytochrome P-450 Enzyme System metabolism, Drosophila melanogaster metabolism, Glutathione Transferase genetics, Juvenile Hormones metabolism, Mixed Function Oxygenases genetics, Multigene Family, Phylogeny, Receptors, GABA-A genetics, Sodium Channels genetics, Cytochrome P-450 Enzyme System genetics, Drosophila melanogaster genetics, Genomics, Insecticide Resistance genetics
Abstract

The past ten years have seen the elucidation of the molecular basis of insect resistance to many chemical insecticides. Target genes, mostly in the nervous system, have been identified and cloned from Drosophila melanogaster and resistance-associated mutations have been examined in a range of pest insects. More recently, with the advent of annotated insect genomes, resistance mediated by complex multi-gene enzyme systems such as esterases, cytochrome p450s and glutathione-S-transferases has also been elucidated. In this article, we review the impact of Drosophila genetics on the field of insect resistance and focus on the current and future impact of genomics. These studies enable us to address three fundamental questions in the evolution of resistance. How many genes are involved? How many mutations are there within these genes? How often do these mutations arise in natural populations?

Published
2004
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