• 2015
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  2. Hounsou, C. et al. Time-resolved FRET binding assay to investigate hetero-oligomer binding properties: proof of concept with dopamine D1/D3 heterodimer. ACS Chem. Biol. 10, 466–474 (2015) doi:10.1021/cb5007568 [Arpege].
  3. Levoye, A. et al. A Broad G Protein-Coupled Receptor Internalization Assay that Combines SNAP-Tag Labeling, Diffusion-Enhanced Resonance Energy Transfer, and a Highly Emissive Terbium Cryptate. Front Endocrinol (Lausanne) 6, 167 (2015) doi:10.3389/fendo.2015.00167 [Arpege].
  4. Oueslati, N. et al. Time-resolved FRET strategy to screen GPCR ligand library. Methods Mol. Biol. 1272, 23–36 (2015) doi:10.1007/978-1-4939-2336-6_2 [Arpege].
  5. Rovira, X. et al. Overlapping binding sites drive allosteric agonism and positive cooperativity in type 4 metabotropic glutamate receptors. FASEB J. 29, 116–130 (2015) doi:10.1096/fj.14-257287 [Arpege].
  6. Tora, A. S. et al. Allosteric modulation of metabotropic glutamate receptors by chloride ions. FASEB J. 29, 4174–4188 (2015) doi:10.1096/fj.14-269746 [Arpege].
  7. Zampieri, A. et al. Hyper sensitive protein detection by Tandem-HTRF reveals Cyclin D1 dynamics in adult mouse. Sci Rep 5, 15739 (2015) doi:10.1038/srep15739 [Arpege].
  • 2016
  1. Broad, J. et al. Human native kappa opioid receptor functions not predicted by recombinant receptors: Implications for drug design. Sci Rep 6, 30797 (2016) doi:10.1038/srep30797 [Arpege].
  2. Goyet, E., Bouquier, N., Ollendorff, V. & Perroy, J. Fast and high resolution single-cell BRET imaging. Sci Rep 6, 28231 (2016) doi:10.1038/srep28231 [Arpege].
  3. Hájková, A. et al. SGIP1 alters internalization and modulates signaling of activated cannabinoid receptor 1 in a biased manner. Neuropharmacology 107, 201–214 (2016) doi:10.1016/j.neuropharm.2016.03.008 [Arpege].
  4. Duquenne, C. et al. Reversing HIV latency via sphingosine-1-phosphate receptor 1 signaling. AIDS 31, 2443–2454 (2017) doi:10.1097/QAD.0000000000001649 [Arpege].
  • 2017
  1. Lecat-Guillet, N. et al. FRET-Based Sensors Unravel Activation and Allosteric Modulation of the GABAB Receptor. Cell Chem Biol 24, 360–370 (2017) doi:10.1016/j.chembiol.2017.02.011 [Arpege].
  2. Moreno Delgado, D. et al. Pharmacological evidence for a metabotropic glutamate receptor heterodimer in neuronal cells. Elife 6, (2017) doi:10.7554/eLife.25233 [Arpege].
  3. Scholler, P. et al. HTS-compatible FRET-based conformational sensors clarify membrane receptor activation. Nat. Chem. Biol. 13, 372–380 (2017) doi:10.1038/nchembio.2286 [Arpege].
  • 2018
  1. Belhocine, A. et al. Profiling of orthosteric and allosteric group-III metabotropic glutamate receptor ligands on various G protein-coupled receptors with Tag-lite® assays. Neuropharmacology 140, 233–245 (2018) doi:10.1016/j.neuropharm.2018.07.032 [Arpege].
  2. Nasrallah, C. et al. Direct coupling of detergent purified human mGlu5 receptor to the heterotrimeric G proteins Gq and Gs. Sci Rep 8, 4407 (2018) doi:10.1038/s41598-018-22729-4 [Arpege].
  3. Perkovska, S. et al. V1b vasopressin receptor trafficking and signaling: Role of arrestins, G proteins and Src kinase. Traffic 19, 58–82 (2018) doi:10.1111/tra.12535 [Arpege].
  4. Selvam, C. et al. Increased Potency and Selectivity for Group III Metabotropic Glutamate Receptor Agonists Binding at Dual sites. J. Med. Chem. 61, 1969–1989 (2018) doi:10.1021/acs.jmedchem.7b01438 [Arpege].
  5. Stewart, G. D., Comps-Agrar, L., Nørskov-Lauritsen, L. B., Pin, J.-P. & Kniazeff, J. Allosteric interactions between GABAB1 subunits control orthosteric binding sites occupancy within GABAB oligomers. Neuropharmacology 136, 92–101 (2018) doi:10.1016/j.neuropharm.2017.12.042 [Arpege].
  6. Tora, A. S. et al. Chloride ions stabilize the glutamate-induced active state of the metabotropic glutamate receptor 3. Neuropharmacology 140, 275–286 (2018) doi:10.1016/j.neuropharm.2018.08.011 [Arpege].
  7. Zussy, C. et al. Dynamic modulation of inflammatory pain-related affective and sensory symptoms by optical control of amygdala metabotropic glutamate receptor 4. Mol. Psychiatry 23, 509–520 (2018) doi:10.1038/mp.2016.223 [Arpege].
  • 2019
  1. Heuninck, J. et al. Time-Resolved FRET-Based Assays to Characterize G Protein-Coupled Receptor Hetero-oligomer Pharmacology. in G Protein-Coupled Receptor Signaling (ed. Tiberi, M.) vol. 1947 151–168 (Springer New York, 2019). doi:10.1007/978-1-4939-9121-1_8 [Arpege].
  2. Zindel, D. et al. HTRF® Total and Phospho-YAP (Ser127) Cellular Assays. in The Hippo Pathway (ed. Hergovich, A.) vol. 1893 153–166 (Springer New York, 2019). doi:10.1007/978-1-4939-8910-2_13 [Arpege].
 
  • 2015
  1. Jacobin-Valat, M.-J. et al. Nanoparticles functionalised with an anti-platelet human antibody for in vivo detection of atherosclerotic plaque by magnetic resonance imaging. Nanomedicine 11, 927–937 (2015) doi:10.1016/j.nano.2014.12.006 [BACFLY].
  • 2016
  1. El Cheikh, K. et al. Design of Potent Mannose 6-Phosphate Analogues for the Functionalization of Lysosomal Enzymes To Improve the Treatment of Pompe Disease. Angew. Chem. Int. Ed. Engl. 55, 14774–14777 (2016) doi:10.1002/anie.201607824 [BACFLY].
  2. Golay, J. et al. Design and Validation of a Novel Generic Platform for the Production of Tetravalent IgG1-like Bispecific Antibodies. J. Immunol. 196, 3199–3211 (2016) doi:10.4049/jimmunol.1501592 [BACFLY].
  • 2017
  1. Prévot, G. et al. Data on atherosclerosis specific antibody conjugation to nanoemulsions. Data Brief 15, 824–827 (2017) doi:10.1016/j.dib.2017.10.058 [BACFLY].
  2. Prévot, G. et al. Iron oxide core oil-in-water nanoemulsion as tracer for atherosclerosis MPI and MRI imaging. Int J Pharm 532, 669–676 (2017) doi:10.1016/j.ijpharm.2017.09.010 [BACFLY].
  • 2018
  1. Hemadou, A. et al. An innovative flow cytometry method to screen human scFv-phages selected by in vivo phage-display in an animal model of atherosclerosis. Sci Rep 8, 15016 (2018) doi:10.1038/s41598-018-33382-2 [BACFLY].
  • 2019
  1. Neiveyans, M. et al. A recycling anti-transferrin receptor-1 monoclonal antibody as an efficient therapy for erythroleukemia through target up-regulation and antibody-dependent cytotoxic effector functions. MAbs 11, 593–605 (2019) doi:10.1080/19420862.2018.1564510 [BACFLY].
 
  • 2015
  1. Aouinti, S., Malouche, D., Giudicelli, V., Kossida, S. & Lefranc, M.-P. IMGT/HighV-QUEST Statistical Significance of IMGT Clonotype (AA) Diversity per Gene for Standardized Comparisons of Next Generation Sequencing Immunoprofiles of Immunoglobulins and T Cell Receptors. PLoS ONE 10, e0142353 (2015) doi:10.1371/journal.pone.0142353 [IMGT].
  2. Baliakas, P. et al. Not all IGHV3-21 chronic lymphocytic leukemias are equal: prognostic considerations. Blood 125, 856–859 (2015) doi:10.1182/blood-2014-09-600874 [IMGT].
  3. Busby, G. B. J. et al. The Role of Recent Admixture in Forming the Contemporary West Eurasian Genomic Landscape. Curr. Biol. 25, 2518–2526 (2015) doi:10.1016/j.cub.2015.08.007 [IMGT].
  4. Antibody Informatics: IMGT, the International ImMunoGeneTics Information System. in Antibodies for Infectious Diseases (eds. Crowe, Boraschi & Rappuoli) 363–379 (American Society of Microbiology, 2015). doi:10.1128/microbiolspec.AID-0001-2012 [IMGT]doi:10.1128/microbiolspec.AID-0001-2012.
  5. Engelhardt, K. R. et al. The extended clinical phenotype of 64 patients with dedicator of cytokinesis 8 deficiency. J. Allergy Clin. Immunol. 136, 402–412 (2015) doi:10.1016/j.jaci.2014.12.1945 [IMGT].
  6. Giudicelli, V. et al. From IMGT-ONTOLOGY to IMGT/HighVQUEST for NGS Immunoglobulin (IG) and T cell Receptor (TR) Repertoires in Autoimmune and Infectious Diseases. Autoimmun Infec Dis 1, (2015) doi:10.16966/2470-1025.103 [IMGT].
  7. Lefranc, M.-P. et al. IMGT®, the international ImMunoGeneTics information system® 25 years on. Nucleic Acids Res. 43, D413-422 (2015) doi:10.1093/nar/gku1056 [IMGT].
  8. Li, L. et al. A broad range of mutations in HIV-1 neutralizing human monoclonal antibodies specific for V2, V3, and the CD4 binding site. Mol. Immunol. 66, 364–374 (2015) doi:10.1016/j.molimm.2015.04.011 [IMGT].
  9. Piccinni, B. et al. Sheep (Ovis aries) T cell receptor alpha (TRA) and delta (TRD) genes and genomic organization of the TRA/TRD locus. BMC Genomics 16, 709 (2015) doi:10.1186/s12864-015-1790-z [IMGT].
  10. Xochelli, A. et al. Immunoglobulin heavy variable (IGHV) genes and alleles: new entities, new names and implications for research and prognostication in chronic lymphocytic leukaemia. Immunogenetics 67, 61–66 (2015) doi:10.1007/s00251-014-0812-3 [IMGT].

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  • 2016
  1. Aouinti, S. et al. IMGT/StatClonotype for Pairwise Evaluation and Visualization of NGS IG and TR IMGT Clonotype (AA) Diversity or Expression from IMGT/HighV-QUEST. Front Immunol 7, 339 (2016) doi:10.3389/fimmu.2016.00339 [IMGT].
  2. Besbes, S. et al. Combined IKZF1 and IG markers as new tools for diagnosis and minimal residual disease assessment in Tunisian B-ALL. Bull Cancer 103, 822–828 (2016) doi:10.1016/j.bulcan.2016.07.008 [IMGT].
  3. Boudinot, P. et al. Restricting nonclassical MHC genes coevolve with TRAV genes used by innate-like T cells in mammals. Proc. Natl. Acad. Sci. U.S.A. 113, E2983-2992 (2016) doi:10.1073/pnas.1600674113 [IMGT].
  4. Denden, S. et al. [COPD characteristics in subjects carrying the rare alpha-1 antitrypsin variant PIMMmalton]. Rev Mal Respir 33, 32–40 (2016) doi:10.1016/j.rmr.2015.05.002 [IMGT].
  5. Linguiti, G. et al. Genomic and expression analyses of Tursiops truncatus T cell receptor gamma (TRG) and alpha/delta (TRA/TRD) loci reveal a similar basic public γδ repertoire in dolphin and human. BMC Genomics 17, 634 (2016) doi:10.1186/s12864-016-2841-9 [IMGT].
  6. Yu, G.-Y. et al. Cynomolgus macaque (Macaca fascicularis) immunoglobulin heavy chain locus description. Immunogenetics 68, 417–428 (2016) doi:10.1007/s00251-016-0921-2 [IMGT].

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  • 2017
  1. Brahami, N. et al. Facial cutaneo-mucosal venous malformations can develop independently of mutation of TEK gene but may be associated with excessive expression of Src and p-Src. J Negat Results Biomed 16, 9 (2017) doi:10.1186/s12952-017-0072-5 [IMGT].
  2. Breden, F. et al. Reproducibility and Reuse of Adaptive Immune Receptor Repertoire Data. Front Immunol 8, 1418 (2017) doi:10.3389/fimmu.2017.01418 [IMGT].
  3. Dambrun, M. et al. Human Immunoglobulin Heavy Gamma Chain Polymorphisms: Molecular Confirmation Of Proteomic Assessment. Mol. Cell Proteomics 16, 824–839 (2017) doi:10.1074/mcp.M116.064733 [IMGT].
  4. Deiss, T. C. et al. Immunogenetic factors driving formation of ultralong VH CDR3 in Bos taurus antibodies. Cell. Mol. Immunol. 16, 53–64 (2017) doi:10.1038/cmi.2017.117 [IMGT].
  5. Giudicelli, V., Duroux, P., Kossida, S. & Lefranc, M.-P. IG and TR single chain fragment variable (scFv) sequence analysis: a new advanced functionality of IMGT/V-QUEST and IMGT/HighV-QUEST. BMC Immunol. 18, 35 (2017) doi:10.1186/s12865-017-0218-8 [IMGT].
  6. Hemadou, A. et al. Pacific Biosciences Sequencing and IMGT/HighV-QUEST Analysis of Full-Length Single Chain Fragment Variable from an In Vivo Selected Phage-Display Combinatorial Library. Front Immunol 8, 1796 (2017) doi:10.3389/fimmu.2017.01796 [IMGT].
  7. Khalifa, O. et al. TMEM187-IRAK1 Polymorphisms Associated with Rheumatoid Arthritis Susceptibility in Tunisian and French Female Populations: Influence of Geographic Origin. J Immunol Res 2017, 4915950 (2017) doi:10.1155/2017/4915950 [IMGT].
  8. Langerak, A. W. et al. High-Throughput Immunogenetics for Clinical and Research Applications in Immunohematology: Potential and Challenges. J. Immunol. 198, 3765–3774 (2017) doi:10.4049/jimmunol.1602050 [IMGT].
  9. Lefranc, M.-P. Web Sites of Interest to Immunologists. Curr Protoc Immunol 116, A.1J.1-A.1J.47 (2017) doi:10.1002/cpim.21 [IMGT].
  10. Marillet, S., Lefranc, M.-P., Boudinot, P. & Cazals, F. Novel Structural Parameters of Ig-Ag Complexes Yield a Quantitative Description of Interaction Specificity and Binding Affinity. Front Immunol 8, 34 (2017) doi:10.3389/fimmu.2017.00034 [IMGT].
  11. Marquardsen, F. A. et al. Detection of Sp110 by Flow Cytometry and Application to Screening Patients for Veno-occlusive Disease with Immunodeficiency. J. Clin. Immunol. 37, 707–714 (2017) doi:10.1007/s10875-017-0431-5 [IMGT].
  12. Massaad, M. J. et al. DOCK8 and STAT3 dependent inhibition of IgE isotype switching by TLR9 ligation in human B cells. Clin. Immunol. 183, 263–265 (2017) doi:10.1016/j.clim.2017.08.020 [IMGT].
  13. Prieur, A. et al. Targeting the Wnt Pathway and Cancer Stem Cells with Anti-progastrin Humanized Antibodies as a Potential Treatment for K-RAS-Mutated Colorectal Cancer. Clin. Cancer Res. 23, 5267–5280 (2017) doi:10.1158/1078-0432.CCR-17-0533 [IMGT].
  14. Rosenquist, R. et al. Immunoglobulin gene sequence analysis in chronic lymphocytic leukemia: updated ERIC recommendations. Leukemia 31, 1477–1481 (2017) doi:10.1038/leu.2017.125 [IMGT].
  15. Rubelt, F. et al. Adaptive Immune Receptor Repertoire Community recommendations for sharing immune-repertoire sequencing data. Nat. Immunol. 18, 1274–1278 (2017) doi:10.1038/ni.3873 [IMGT].
  16. Tahiat, A. et al. Epidermodysplasia verruciformis as a manifestation of ARTEMIS deficiency in a young adult. J. Allergy Clin. Immunol. 139, 372-375.e4 (2017) doi:10.1016/j.jaci.2016.07.024 [IMGT].
  17. Xochelli, A. et al. Chronic Lymphocytic Leukemia with Mutated IGHV4-34 Receptors: Shared and Distinct Immunogenetic Features and Clinical Outcomes. Clin. Cancer Res. 23, 5292–5301 (2017) doi:10.1158/1078-0432.CCR-16-3100 [IMGT].

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  • 2018
  1. Baliakas, P. et al. No improvement in long-term survival over time for chronic lymphocytic leukemia patients in stereotyped subsets #1 and #2 treated with chemo(immuno)therapy. Haematologica 103, e158–e161 (2018) doi:10.3324/haematol.2017.182634 [IMGT].
  2. Bradbury, A. R. M. et al. When monoclonal antibodies are not monospecific: Hybridomas frequently express additional functional variable regions. MAbs 10, 539–546 (2018) doi:10.1080/19420862.2018.1445456 [IMGT].
  3. Han, S. Y. et al. Coupling of Single Molecule, Long Read Sequencing with IMGT/HighV-QUEST Analysis Expedites Identification of SIV gp140-Specific Antibodies from scFv Phage Display Libraries. Front Immunol 9, 329 (2018) doi:10.3389/fimmu.2018.00329 [IMGT].
  4. Lefranc, M.-P., Ehrenmann, F., Kossida, S., Giudicelli, V. & Duroux, P. Use of IMGT® Databases and Tools for Antibody Engineering and Humanization. Methods Mol. Biol. 1827, 35–69 (2018) doi:10.1007/978-1-4939-8648-4_3 [IMGT].
  5. Martin, J. et al. Comprehensive annotation and evolutionary insights into the canine (Canis lupus familiaris) antigen receptor loci. Immunogenetics 70, 223–236 (2018) doi:10.1007/s00251-017-1028-0 [IMGT].
  6. Miliani, M. et al. Thymoquinone Potently Enhances the Activities of Classically Activated Macrophages Pulsed with Necrotic Jurkat Cell Lysates and the Production of Antitumor Th1-/M1-Related Cytokines. J. Interferon Cytokine Res. (2018) doi:10.1089/jir.2018.0010 [IMGT]doi:10.1089/jir.2018.0010.

Et 769 citations d'IMGT dans la littérature (source Google Scholar).

  • 2019
  1. Lefranc & Lefranc. IMGT® and 30 Years of Immunoinformatics Insight in Antibody V and C Domain Structure and Function. Antibodies 8, 29 (2019) doi:10.3390/antib8020029 [IMGT].
  2. Magadan, S. et al. Standardized IMGT® Nomenclature of Salmonidae IGH Genes, the Paradigm of Atlantic Salmon and Rainbow Trout: From Genomics to Repertoires. Front. Immunol. 10, 2541 (2019) doi:10.3389/fimmu.2019.02541 [IMGT].
  3. Meziane, W. et al. Combination of metformin with sodium selenite induces a functional phenotypic switch of human GM-CSF monocyte-derived macrophages. Int. Immunopharmacol. 73, 212–224 (2019) doi:10.1016/j.intimp.2019.05.004 [IMGT].
  4. Mondot, S., Lantz, O., Lefranc, M. & Boudinot, P. The T cell receptor (TRA) locus in the rabbit ( Oryctolagus cuniculus ): Genomic features and consequences for invariant T cells. Eur. J. Immunol. 49, 2146–2158 (2019) doi:10.1002/eji.201948228 [IMGT].
  5. Ohlin, M. et al. Inferred Allelic Variants of Immunoglobulin Receptor Genes: A System for Their Evaluation, Documentation, and Naming. Front. Immunol. 10, 435 (2019) doi:10.3389/fimmu.2019.00435 [IMGT].
  6. Xochelli, A. et al. Disease-biased and shared characteristics of the immunoglobulin gene repertoires in marginal zone B cell lymphoproliferations. J. Pathol. 247, 416–421 (2019) doi:10.1002/path.5209 [IMGT].
 
  •  2015
  1. Arsic, N. et al. The p53 isoform Δ133p53β promotes cancer stem cell potential. Stem Cell Reports 4, 531–540 (2015) doi:10.1016/j.stemcr.2015.02.001 [IPAM].
  2. Roy, J. et al. Nonenzymatic lipid mediators, neuroprostanes, exert the antiarrhythmic properties of docosahexaenoic acid. Free Radic. Biol. Med. 86, 269–278 (2015) doi:10.1016/j.freeradbiomed.2015.04.014 [IPAM].
  3. Vives, V. et al. Pharmacological inhibition of Dock5 prevents osteolysis by affecting osteoclast podosome organization while preserving bone formation. Nat Commun 6, 6218 (2015) doi:10.1038/ncomms7218 [IPAM].
  •  2016
  1. Giannoni, P. et al. Cerebrovascular pathology during the progression of experimental Alzheimer’s disease. Neurobiol. Dis. 88, 107–117 (2016) doi:10.1016/j.nbd.2016.01.001 [IPAM].
  2. Michau, A. et al. Metabolism Regulates Exposure of Pancreatic Islets to Circulating Molecules In Vivo. Diabetes 65, 463–475 (2016) doi:10.2337/db15-1168 [IPAM].
  3. Osterstock, G. et al. Somatostatin triggers rhythmic electrical firing in hypothalamic GHRH neurons. Sci Rep 6, 24394 (2016) doi:10.1038/srep24394 [IPAM].
  4. Roussel, J. et al. Carnitine deficiency induces a short QT syndrome. Heart Rhythm 13, 165–174 (2016) doi:10.1016/j.hrthm.2015.07.027 [IPAM].
  5. Sabilallah, M. et al. Evidence for Status Epilepticus and Pro-Inflammatory Changes after Intranasal Kainic Acid Administration in Mice. PLoS ONE 11, e0150793 (2016) doi:10.1371/journal.pone.0150793 [IPAM].
  6. Tassin, V. et al. Phasic and Tonic mGlu7 Receptor Activity Modulates the Thalamocortical Network. Front Neural Circuits 10, 31 (2016) doi:10.3389/fncir.2016.00031 [IPAM].
  •  2017
  1. Chauvet, N. et al. Complementary actions of dopamine D2 receptor agonist and anti-vegf therapy on tumoral vessel normalization in a transgenic mouse model. Int. J. Cancer 140, 2150–2161 (2017) doi:10.1002/ijc.30628 [IPAM].
  2. Espinosa-Carrasco, G. et al. CD4+ T Helper Cells Play a Key Role in Maintaining Diabetogenic CD8+ T Cell Function in the Pancreas. Front Immunol 8, 2001 (2017) doi:10.3389/fimmu.2017.02001 [IPAM].
  3. Le Tissier, P. et al. An updated view of hypothalamic-vascular-pituitary unit function and plasticity. Nat Rev Endocrinol 13, 257–267 (2017) doi:10.1038/nrendo.2016.193 [IPAM].
  4. Leconet, W. et al. Therapeutic Activity of Anti-AXL Antibody against Triple-Negative Breast Cancer Patient-Derived Xenografts and Metastasis. Clin. Cancer Res. 23, 2806–2816 (2017) doi:10.1158/1078-0432.CCR-16-1316 [IPAM].
  5. Romanò, N., Guillou, A., Hodson, D. J., Martin, A. O. & Mollard, P. Multiple-scale neuroendocrine signals connect brain and pituitary hormone rhythms. Proc. Natl. Acad. Sci. U.S.A. 114, 2379–2382 (2017) doi:10.1073/pnas.1616864114 [IPAM].
  •  2018
  1. Arango-Lievano, M. et al. Topographic Reorganization of Cerebrovascular Mural Cells under Seizure Conditions. Cell Rep 23, 1045–1059 (2018) doi:10.1016/j.celrep.2018.03.110 [IPAM].
  2. Choquet, C. et al. Deletion of Nkx2-5 in trabecular myocardium reveals the developmental origins of pathological heterogeneity associated with ventricular non-compaction cardiomyopathy. PLoS Genet. 14, e1007502 (2018) doi:10.1371/journal.pgen.1007502 [IPAM].
  3. Espinosa-Carrasco, G. et al. Integrin β1 Optimizes Diabetogenic T Cell Migration and Function in the Pancreas. Front Immunol 9, 1156 (2018) doi:10.3389/fimmu.2018.01156 [IPAM].
  4. Jeitany, M. et al. Inhibition of DDR1-BCR signalling by nilotinib as a new therapeutic strategy for metastatic colorectal cancer. EMBO Mol Med 10, (2018) doi:10.15252/emmm.201707918 [IPAM].
  5. Le Tissier, P., Fiordelisio Coll, T. & Mollard, P. The Processes of Anterior Pituitary Hormone Pulse Generation. Endocrinology 159, 3524–3535 (2018) doi:10.1210/en.2018-00508 [IPAM].
  6. Mollard, P. & Schaeffer, M. Imaging endocrinology in animal models of endocrine disease. Best Pract. Res. Clin. Endocrinol. Metab. 32, 317–328 (2018) doi:10.1016/j.beem.2018.03.010 [IPAM].
  7. Ogier, C. et al. Targeting the NRG1/HER3 pathway in tumor cells and cancer-associated fibroblasts with an anti-neuregulin 1 antibody inhibits tumor growth in pre-clinical models of pancreatic cancer. Cancer Lett. 432, 227–236 (2018) doi:10.1016/j.canlet.2018.06.023 [IPAM].
  •  2019
  1. Blache, P. et al. A Short SOX9 Peptide Mimics SOX9 Tumor Suppressor Activity and Is Sufficient to Inhibit Colon Cancer Cell Growth. Mol. Cancer Ther. 18, 1386–1395 (2019) doi:10.1158/1535-7163.MCT-18-1149 [IPAM].
  2. Boisguérin, P. et al. A novel therapeutic peptide targeting myocardial reperfusion injury. Cardiovasc. Res. (2019) doi:10.1093/cvr/cvz145 [IPAM]doi:10.1093/cvr/cvz145.
  3. Finan, A. et al. Prolonged elevated levels of c-kit+ progenitor cells after a myocardial infarction by beta 2 adrenergic receptor priming. J. Cell. Physiol. 234, 18283–18296 (2019) doi:10.1002/jcp.28461 [IPAM].
  4. Hoa, O. et al. Imaging and Manipulating Pituitary Function in the Awake Mouse. Endocrinology 160, 2271–2281 (2019) doi:10.1210/en.2019-00297 [IPAM].
  5. Ladjohounlou, R. et al. Drugs That Modify Cholesterol Metabolism Alter the p38/JNK-Mediated Targeted and Nontargeted Response to Alpha and Auger Radioimmunotherapy. Clin. Cancer Res. 25, 4775–4790 (2019) doi:10.1158/1078-0432.CCR-18-3295 [IPAM].
  6. Laudette, M. et al. Identification of a pharmacological inhibitor of Epac1 that protects the heart against acute and chronic models of cardiac stress. Cardiovasc. Res. 115, 1766–1777 (2019) doi:10.1093/cvr/cvz076 [IPAM].
  7. Sicard, P. et al. Right coronary artery ligation in mice: a novel method to investigate right ventricular dysfunction and biventricular interaction. Am. J. Physiol. Heart Circ. Physiol. 316, H684–H692 (2019) doi:10.1152/ajpheart.00573.2018 [IPAM].
 
  •   2015
  1. Bialic, M., Coulon, V., Drac, M., Gostan, T. & Schwob, E. Analyzing the dynamics of DNA replication in Mammalian cells using DNA combing. Methods Mol. Biol. 1300, 67–78 (2015) doi:10.1007/978-1-4939-2596-4_4 [MDC].
  •   2016
  1. Benatti, P. et al. Direct non transcriptional role of NF-Y in DNA replication. Biochim. Biophys. Acta 1863, 673–685 (2016) doi:10.1016/j.bbamcr.2015.12.019 [MDC].
  2. Poli, J. et al. Mec1, INO80, and the PAF1 complex cooperate to limit transcription replication conflicts through RNAPII removal during replication stress. Genes Dev. 30, 337–354 (2016) doi:10.1101/gad.273813.115 [MDC].
  3. Stanojcic, S. et al. Single-molecule analysis of DNA replication reveals novel features in the divergent eukaryotes Leishmania and Trypanosoma brucei versus mammalian cells. Sci Rep 6, 23142 (2016) doi:10.1038/srep23142 [MDC].
  •   2017
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  •   2019
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  • 2016
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  • 2017
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  • 2018
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  6. Mure, F. et al. The splicing factor SRSF3 is functionally connected to the nuclear RNA exosome for intronless mRNA decay. Sci Rep 8, 12901 (2018) doi:10.1038/s41598-018-31078-1 [MGC].
  • 2019
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