{"id":36023,"date":"2021-10-05T14:45:12","date_gmt":"2021-10-05T12:45:12","guid":{"rendered":"https:\/\/www.crct-inserm.fr\/v2\/?page_id=36023"},"modified":"2024-01-08T14:55:33","modified_gmt":"2024-01-08T13:55:33","slug":"netbio2","status":"publish","type":"page","link":"https:\/\/www.crct-inserm.fr\/netbio2\/","title":{"rendered":"NetB(IO)\u00b2"},"content":{"rendered":"

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\u00c9quipe
VERA PANCALDI<\/h1>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”448e09ae-9652-4ead-bc5f-152c7adf1202″ header_2_font=”Open Sans||||||||” global_colors_info=”{}”]<\/p>\n

NetB(IO)\u00b2 : <\/strong><\/h2>\n

Network Biology for Immuno-oncology<\/strong><\/h2>\n
\n
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\u00a0<\/h2>\n<\/div>\n<\/div>\n

[\/et_pb_text][et_pb_divider _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ disabled_on=”on|on|on” _builder_version=”4.16″ _module_preset=”default” width=”50%” custom_padding=”23px|||||” disabled=”on” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.crct-inserm.fr\/wp-content\/uploads\/2021\/03\/LOGO-TOUCAN-Horizontal.png” title_text=”LOGO-TOUCAN-Horizontal” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” text_font_size=”22px” custom_margin=”30px|||||” custom_padding=”||3px|||” global_colors_info=”{}”]Le laboratoire d\u2019Excellence Toulouse Cancer est un projet qui vise \u00e0 comprendre les m\u00e9canismes de r\u00e9sistance et de rechute dans les cancers.
\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” use_background_color_gradient=”on” background_color_gradient_stops=”rgba(43,135,218,0) 50%|#f2efef 50%” background_color_gradient_start=”rgba(43,135,218,0)” background_color_gradient_start_position=”50%” background_color_gradient_end=”#f2efef” background_color_gradient_end_position=”0%” custom_padding=”0px|||||” global_colors_info=”{}”][et_pb_row disabled_on=”on|on|on” _builder_version=”4.16″ _module_preset=”default” custom_padding=”0px||0px|||” disabled=”on” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_video src=”https:\/\/www.youtube.com\/watch?v=FkQuawiGWUw” image_src=”https:\/\/www.crct-inserm.fr\/wp-content\/uploads\/2021\/03\/video.jpg” _builder_version=”4.16″ _module_preset=”default” width=”80%” module_alignment=”center” global_colors_info=”{}”][\/et_pb_video][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” background_color=”#f2efef” custom_padding=”0px||0px|||” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”448e09ae-9652-4ead-bc5f-152c7adf1202″ global_colors_info=”{}”]<\/p>\n

Les sp\u00e9cificit\u00e9s
<\/strong>de notre axe de recherche<\/h2>\n

[\/et_pb_text][et_pb_divider _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ _module_preset=”default” custom_padding=”2px|||||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Les travaux de notre \u00e9quipe portent sur la relation patients \u2013 cancer, plus particuli\u00e8rement sur les interactions entre le syst\u00e8me immunitaire et la tumeur. L\u2019objectif est d\u2019am\u00e9liorer les th\u00e9rapies bas\u00e9es sur ces interactions. Actuellement, elles sont efficaces seulement sur certains patients, jusqu\u2019\u00e0 l\u2019apparition de r\u00e9sistances.<\/span><\/p>\n

Nous voulons comprendre comment la variabilit\u00e9 observ\u00e9e chez les patients, dans les tumeurs et les interactions h\u00f4te-tumeur affecte l\u2019efficacit\u00e9 des traitements, en utilisant des approches bio-informatiques comme la fouille de donn\u00e9es, des simulations, la mod\u00e9lisation et la th\u00e9orie des r\u00e9seaux.<\/span><\/p>\n

Les r\u00e9seaux permettent de repr\u00e9senter des syst\u00e8mes dans lesquels les relations, telles que des interactions ou des similarit\u00e9s entre objets, sont importantes. Les r\u00e9seaux des diff\u00e9rentes\u00a0types\u00a0peuvent avoir des propri\u00e9t\u00e9s communes, extensivement d\u00e9crites dans la litt\u00e9rature.\u00a0<\/span>Nous utilisons les r\u00e9seaux pour \u00e9tudier divers syst\u00e8mes, tels que les similarit\u00e9s entre patients, les interactions entre les cellules dans les tumeurs, ou encore les interactions tridimensionnelles des g\u00e8nes dans le nucl\u00e9us. <\/span>Dans un m\u00eame organisme sain, deux cellules de m\u00eame type, partageant le m\u00eame ADN peuvent tout de m\u00eame exprimer une certaine variabilit\u00e9, due \u00e0 l\u2019organisation de plus de deux m\u00e8tres d\u2019ADN dans un minuscule noyau. Ces modifications de configuration de l’ADN impactent les caract\u00e9ristiques\u00a0et comportements des cellules.<\/span><\/p>\n


<\/span><\/span>Etude d<\/strong>es diff\u00e9rents\u00a0types de cellules dans la tumeur\u00a0<\/strong><\/span>et de leurs relations:\u00a0<\/strong><\/p>\n

\n

D\u00e9terminer la composition et organisation cellulaire d\u2019un \u00e9chantillon reste la priorit\u00e9 dans la recherche contre le cancer. Notre \u00e9quipe int\u00e8gre\u00a0les donn\u00e9es omiques pour estimer les proportions des diff\u00e9rents types cellulaires et leur relations spatiales dans la tumeur.<\/span><\/p>\n<\/blockquote>\n

\n

Simuler\u00a0les interactions complexes de ces cellules dans nos ordinateurs,\u00a0 \u00e0 la fois au niveau mol\u00e9culaire et au niveau intercellulaire,\u00a0offre la possibilit\u00e9 d\u2019\u00e9tudier ces syst\u00e8mes dans une multitude de sc\u00e9narios. C\u2019est une excellente fa\u00e7on de formuler de nouvelles hypoth\u00e8ses et permet une meilleure utilisation de nos ressources exp\u00e9rimentales.<\/span><\/p>\n<\/blockquote>\n

<\/blockquote>\n

Depuis 2020 nous avons lanc\u00e9 des projets de collaborations avec d\u2019autres \u00e9quipes du CRCT avec la co-supervision de 4 th\u00e8ses:<\/strong><\/p>\n

\n

R\u00fc\u00e7han Ekren (bourse Labex Toucan), avec Ludovic Martinet. \u00c9tude des m\u00e9canismes d\u2019\u00e9puisement des cellules T et de la biologie cellulaire des NK dans les cas de my\u00e9lomes multiples, en utilisant des approches cellule unique sur des jeux de donn\u00e9es (humains ou souris) prot\u00e9omiques et la transcriptomiques (CITEseq).<\/p>\n<\/blockquote>\n

\n

Matthieu Genais (bourse \u00e9cole doctorale BSB), avec Bruno Segui. Approches d\u2019intelligence artificielle pour d\u00e9terminer l\u2019impact du TNFa sur la r\u00e9ponse aux inhibiteurs de points de contr\u00f4le immunitaires (ICB) dans le cadre de m\u00e9lanomes. Utilisation des donn\u00e9es cliniques, transcriptomiques en cellules uniques, CITEseq et m\u00e9tabolomiques.<\/p>\n<\/blockquote>\n

\n

Alexis Hucteau (bourse Labex Toucan), avec J.E Sarry. Etude de la leuc\u00e9mie aig\u00fce my\u00e9lo\u00efde et des r\u00e9sistances m\u00e9taboliques sp\u00e9cifiques en combinant des approches RNAseq, m\u00e9thylation ADN, modifications d\u2019histones, connexions m\u00e9taboliques, \u00e9pig\u00e9nomiques et reprogrammation.<\/p>\n<\/blockquote>\n

\n

Jacobo Solorzano (bourse r\u00e9gion \/ Fondation Toulouse Cancer Sant\u00e9), avec Yvan Martineau et Corinne Bousquet. Traduction et r\u00f4le des cellules stromales (particuli\u00e8rement les CAFs) dans l\u2019\u00e9mergence des cellules canc\u00e9reuses activant la r\u00e9ponse int\u00e9gr\u00e9e au stress (ISR) dans les cancers du pancr\u00e9as.<\/p>\n<\/blockquote>\n

 <\/p>\n

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Biologie computationnelle<\/strong><\/p>\n

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Th\u00e9orie des R\u00e9seaux<\/strong><\/p>\n

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H\u00e9t\u00e9rog\u00e9n\u00e9it\u00e9 et Microenvironnement tumoral<\/strong><\/p>\n

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Syst\u00e8me Immunitaire<\/strong><\/p>\n

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Epig\u00e9nomique<\/strong><\/p>\n

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Transcriptomique spatiale et\u00a0 \u00e0 cellule unique<\/strong><\/p>\n

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Architecture du g\u00e9nome<\/strong><\/p>\n

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Mod\u00e8les Math\u00e9matiques<\/strong><\/p>\n

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DES PROJETS<\/strong>
\nDE RECHERCHE<\/h2>\n

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LES FOCUS<\/strong>
\nDE L\u2019\u00c9QUIPE<\/h2>\n

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D\u00e9couvrir<\/h4>\n

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Comprendre<\/h4>\n

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Participer<\/h4>\n

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En live<\/strong><\/h2>\n

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\n Vera Pancaldi<\/span>\n <\/span>\n Suivre<\/span>\n \n <\/path><\/svg>1,386<\/span>\n <\/path><\/svg>1,340<\/span>\n <\/span>\n <\/p>\n

\n Cancer Research Center of Toulouse and Barcelona Supercomputing Center. Interested in networks, heterogeneity and genome architecture <\/p>\n <\/div>\n

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\n <\/path><\/svg> <\/div>\n \"VeraPancaldi\"\n <\/div>\n <\/a>\n<\/div>\n\n
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\n \n \"VeraPancaldi;\n <\/a>\n \n Vera Pancaldi<\/a>\n @VeraPancaldi<\/a>\n \n \t\t ·<\/span>\n\t
\n 31 Ao\u00fbt 1697345623748423761<\/span><\/a>\n <\/div>\n <\/div>\n
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Wonderful opportunity to discuss your work, with an excellent list of speakers and a mix of researchers and clinicians, plenty of prizes! @crctoncopole @InsermOccPy @CbiToulouse @InfinityTLS<\/p>\n\t\t\t\t\t\t\n \n\t \n \n <\/div>\n \n\t\n

\n \n <\/path><\/g><\/svg> R\u00e9pondre sur Twitter 1697345623748423761<\/span>\n <\/a>\n\n \n <\/path><\/svg> Retweeter sur Twitter 1697345623748423761<\/span>\n 1<\/span>\n <\/a>\n\n \n <\/path><\/g><\/svg> J\u2019aime sur Twitter 1697345623748423761<\/span>\n 2<\/span>\n <\/a>\n\n \n Twitter<\/span>\n 1697345623748423761<\/span>\n <\/a>\n \n\t<\/div>\n\n\t<\/div>\n\n <\/div>\n\n Voir plus<\/span><\/a>\n\n<\/span>\n<\/div>\n[\/et_pb_code][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” background_color=”#f2efef” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”448e09ae-9652-4ead-bc5f-152c7adf1202″ global_colors_info=”{}”]<\/p>\n

PRODUCTIONS SCIENTIFIQUES<\/strong><\/h2>\n

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Marku, Malvina, Chenel Chenel, and Vera Pancaldi. “Dissecting Cellular Phenotypes in the Tumour Microenvironment through Gene Regulatory Networks: Inference, Analysis and Dynamical Modelling.” In Immunology and Cancer Biology<\/i>, edited by Hussein Fayyad Kazan, 2023. https:\/\/videleaf.com\/dissecting-cellular-phenotypes-in-the-tumour-microenvironment-through-gene-regulatory-networks-inference-analysis-and-dynamical-modelling\/<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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Aliaga, Benoît, Matthieu Genais, and Vera Pancaldi. “A Practical Introduction to Single-Cell RNA-Seq in Immuno-Oncology.” In Immunology and Cancer Biology<\/i>, edited by Hussein Fayyad Kazan, 2023. https:\/\/videleaf.com\/a-practical-introduction-to-single-cellrna-seq-in-immuno-oncology\/<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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Messina, Olivier, Flavien Raynal, Julian Gurgo, Jean-Bernard Fiche, Vera Pancaldi, and Marcelo Nollmann. “3D Chromatin Interactions Involving Drosophila Insulators Are Infrequent but Preferential and Arise before TADs and Transcription.” Nature Communications<\/i> 14, no. 1 (October 21, 2023): 6678. https:\/\/doi.org\/10.1038\/s41467-023-42485-y<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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Marku, Malvina, and Vera Pancaldi. “From Time-Series Transcriptomics to Gene Regulatory Networks: A Review on Inference Methods.” PLoS Computational Biology<\/i> 19, no. 8 (August 2023): e1011254. https:\/\/doi.org\/10.1371\/journal.pcbi.1011254<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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Senosain, Maria-Fernanda, Yong Zou, Khushbu Patel, Shilin Zhao, Alexis Coullomb, Dianna J. Rowe, Jonathan M. Lehman, et al. “Integrated Multi-Omics Analysis of Early Lung Adenocarcinoma Links Tumor Biological Features with Predicted Indolence or Aggressiveness.” Cancer Research Communications<\/i> 3, no. 7 (July 2023): 1350–65. https:\/\/doi.org\/10.1158\/2767-9764.CRC-22-0373<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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Verstraete, Nina, Malvina Marku, Marcin Domagala, Hélène Arduin, Julie Bordenave, Jean-Jacques Fournié, Loïc Ysebaert, Mary Poupot, and Vera Pancaldi. “An Agent-Based Model of Monocyte Differentiation into Tumour-Associated Macrophages in Chronic Lymphocytic Leukemia.” IScience<\/i> 26, no. 6 (June 16, 2023): 106897. https:\/\/doi.org\/10.1016\/j.isci.2023.106897<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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Pancaldi, Vera. “Network Models of Chromatin Structure.” Current Opinion in Genetics & Development<\/i> 80 (June 2023): 102051. https:\/\/doi.org\/10.1016\/j.gde.2023.102051<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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Johansson, Patricia, Teresa Laguna, Julio Ossowski, Vera Pancaldi, Martina Brauser, Ulrich Dührsen, Lara Keuneke, et al. “Epigenome-Wide Analysis of T-Cell Large Granular Lymphocytic Leukemia Identifies BCL11B as a Potential Biomarker.” Clinical Epigenetics<\/i> 14, no. 1 (November 14, 2022): 148. https:\/\/doi.org\/10.1186\/s13148-022-01362-z<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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Rouanet, Marie, Naima Hanoun, Hubert Lulka, Cindy Ferreira, Pierre Garcin, Martin Sramek, Godefroy Jacquemin, et al. “The Antitumoral Activity of TLR7 Ligands Is Corrupted by the Microenvironment of Pancreatic Tumors.” Molecular Therapy<\/i>, January 2022, S1525001622000181. https:\/\/doi.org\/10.1016\/j.ymthe.2022.01.018<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n

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Richart, Laia, Eleonora Lapi, Vera Pancaldi, Mirabai Cuenca-Ardura, Enrique Carrillo-de-Santa Pau, Miguel Madrid-Mencía, Hélène Neyret-Kahn, et al. “STAG2 Loss-of-Function Affects Short-Range Genomic Contacts and Modulates the Basal-Luminal Transcriptional Program of Bladder Cancer Cells.” Nucleic Acids Research<\/i> 49, no. 19 (November 8, 2021): 11005–21. https:\/\/doi.org\/10.1093\/nar\/gkab864<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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Marku, Malvina, Nina Verstraete, Flavien Raynal, Miguel Madrid-Mencía, Marcin Domagala, Jean-Jacques Fournié, Loïc Ysebaert, Mary Poupot, and Vera Pancaldi. “Insights on TAM Formation from a Boolean Model of Macrophage Polarization Based on In Vitro Studies.” Cancers<\/i> 12, no. 12 (December 7, 2020): 3664. https:\/\/doi.org\/10.3390\/cancers12123664<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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Malod-Dognin, N, V Pancaldi, A Valencia, and N Pržulj. “Chromatin Network Markers of Leukemia.” Bioinformatics<\/i> 36, no. Supplement_1 (July 1, 2020): i455–63. https:\/\/doi.org\/10.1093\/bioinformatics\/btaa445<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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Trama, Annalisa, Claudia Proto, Jennifer G. Whisenant, Valter Torri, Alessio Cortellini, Olivier Michielin, Fabrice Barlesi, et al. “Supporting Clinical Decision-Making during the SARS-CoV-2 Pandemic through a Global Research Commitment: The TERAVOLT Experience.” Cancer Cell<\/i> 38, no. 5 (2020): 602–4. https:\/\/doi.org\/10.1016\/j.ccell.2020.10.002<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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Madrid-Mencía, Miguel, Emanuele Raineri, Tran Bich Ngoc Cao, and Vera Pancaldi. “Using GARDEN-NET and ChAseR to Explore Human Haematopoietic 3D Chromatin Interaction Networks.” Nucleic Acids Research<\/i> 48, no. 8 (07 2020): 4066–80. https:\/\/doi.org\/10.1093\/nar\/gkaa159<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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Verstraete, Nina, Giuseppe Jurman, Giulia Bertagnolli, Arsham Ghavasieh, Vera Pancaldi, and Manlio De Domenico. “CovMulNet19, Integrating Proteins, Diseases, Drugs, and Symptoms: A Network Medicine Approach to COVID-19.” Network and Systems Medicine<\/i> 3, no. 1 (2020): 130–41. https:\/\/doi.org\/10.1089\/nsm.2020.0011<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n

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Ben Zouari, Yousra, Anne M. Molitor, Natalia Sikorska, Vera Pancaldi, and Tom Sexton. “ChiCMaxima: A Robust and Simple Pipeline for Detection and Visualization of Chromatin Looping in Capture Hi-C.” Genome Biology<\/i> 20, no. 1 (May 22, 2019): 102. https:\/\/doi.org\/10.1186\/s13059-019-1706-3<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\t\t\t\t
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Forés-Martos, Jaume, Ferrán Catalá-López, Jon Sánchez-Valle, Kristina Ibáñez, Héctor Tejero, Helena Palma-Gudiel, Joan Climent, et al. “Transcriptomic Metaanalyses of Autistic Brains Reveals Shared Gene Expression and Biological Pathway Abnormalities with Cancer.” Molecular Autism<\/i> 10 (2019): 17. https:\/\/doi.org\/10.1186\/s13229-019-0262-8<\/a>.<\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n

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LES MEMBRES DE L\u2019\u00c9QUIPE<\/strong><\/h2>\n

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\"\"<\/a><\/div>\n
Yann Aubert<\/a><\/div>\n
Chercheur Post-Doctorant \/ Post-Doc researcher<\/div><\/div>\n<\/div><\/div><\/div> <\/div>\n
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Marcin Domagala<\/a><\/div>\n
Chercheur Post-Doctorant \/ Post-Doc researcher<\/div><\/div>\n<\/div><\/div><\/div> <\/div>\n
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\"\"<\/a><\/div>\n
Chloe Bazile<\/a><\/div>\n
Doctorant \/ PhD student<\/div><\/div>\n<\/div><\/div><\/div> <\/div>\n
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\"\"<\/a><\/div>\n
Hurtado Marcelo<\/a><\/div>\n
Doctorant \/ PhD student<\/div><\/div>\n<\/div><\/div><\/div> <\/div>\n
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\"\"<\/a><\/div>\n
Leila Khajavi<\/a><\/div>\n
Chercheur Post-Doctorant \/ Post-Doc researcher<\/div><\/div>\n<\/div><\/div><\/div> <\/div>\n
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\"\"<\/a><\/div>\n
Hugo Chenel<\/a><\/div>\n
Doctorant \/ PhD student<\/div><\/div>\n<\/div><\/div><\/div> <\/div>\n
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\"\"<\/a><\/div>\n
Abdel Mounim Essabbar<\/a><\/div>\n
Ing\u00e9nieur de laboratoire \/ laboratory engineer<\/div><\/div>\n<\/div><\/div><\/div> <\/div>\n
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\"\"<\/a><\/div>\n
Beno\u00eet Aliaga<\/a><\/div>\n
Chercheur Post-Doctorant \/ Post-Doc researcher<\/div><\/div>\n<\/div><\/div><\/div> <\/div>\n
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\"\"<\/a><\/div>\n
Nina Verstraete<\/a><\/div>\n
Chercheur Post-Doctorant \/ Post-Doc researcher<\/div><\/div>\n<\/div><\/div><\/div> <\/div>\n
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\"\"<\/a><\/div>\n
Matthieu Genais<\/a><\/div>\n
Doctorant \/ PhD student<\/div><\/div>\n<\/div><\/div><\/div> <\/div>\n
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\"\"<\/a><\/div>\n
Jacobo Solorzano<\/a><\/div>\n
Doctorant \/ PhD student<\/div><\/div>\n<\/div><\/div><\/div> <\/div>\n
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Alexis Coullomb<\/a><\/div>\n
Chercheur Post-Doctorant \/ Post-Doc researcher<\/div><\/div>\n<\/div><\/div><\/div> <\/div>\n
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Julie Bordenave<\/a><\/div>\n
Ing\u00e9nieur de laboratoire \/ laboratory engineer<\/div><\/div>\n<\/div><\/div><\/div> <\/div>\n
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Malvina Marku<\/a><\/div>\n
Chercheur Post-Doctorant \/ Post-Doc researcher<\/div><\/div>\n<\/div><\/div><\/div> <\/div>\n
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Flavien Raynal<\/a><\/div>\n
Ing\u00e9nieur de laboratoire \/ laboratory engineer<\/div><\/div>\n<\/div><\/div><\/div> <\/div>\n
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Vera Pancaldi<\/a><\/div>\n
Chercheur statutaire \/ permanent scientist<\/div><\/div>\n<\/div><\/div><\/div> <\/div>\n
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Mary Poupot<\/a><\/div>\n
Chercheur statutaire \/ permanent scientist<\/div><\/div>\n<\/div><\/div><\/div> <\/div>\n <\/div>\n<\/div><\/div>\n\n