EMMANUEL BARILLOT

Doctor
Recherche - Paris
Spécialités / domaines
Systems biology,
Integrative tumor biology, immunology and environment,
Intelligence artificielle
Présentation

Emmanuel Barillot obtained his PhD in 1992 in biomathematics and genomics at CEPH-Généthon where he contributed to the contruction of the first human genome physical map (before sequencing era!). In 1995 he joined Infobiogen, the former French Institute of Bioinformatics where he developed research in omics data integration. In 2000 he joined INRA where he headed Génoplante-Info (the bioinformatics integration center of Génoplante program) and created the Unité de Recherche Génomique-Info (URGI). In December 2002, he joined institut Curie to develop cancer bioinformatics.

Since 2008, Emmanuel Barillot heads the Department of Epidemiology, Biostatistics, Bioinformatics and Computational Systems Biology of Cancer (U900), a joint Institut Curie and INSERM research department, in partnership with Mines ParisTech at PSL Research University. His own research focuses on Computational Systems Biology of Cancer, and aims at understanding tumorigenesis and tumor progression using computational approaches and developing methodological approaches when needed.  This means on one hand developing original statistical methods and biological network modeling approaches; and on the other hand conducting statistical analysis of high-throughput biological data, integration of heterogeneous data, and network modeling in the context of cancer. Among key results obtained by computational biology approaches are the elucidation of determinants of migration, invasion and metastasis in colon carcinoma using network modeling, the exploration of basal and luminal subtypes in bladder carcinoma using independent component analysis, or the deciphering of the signalling mechanisms explaining medulloblastoma heterogeneity.

E. Barillot is also co-Director of the institut Curie Bioinformatics Core Facility (with Philippe Hupé and Nicolas Servant), which is expert in biological data integration, omics data analysis, and support for precision medicine (in particular in the context of the France Médecine Génomique program). He also holds a Chair in Cancer Genomics at the Paris Artificial Intelligence Research Institute (PRAIRIE). E. Barillot has published more than 200 papers in the fields of bioinformatics, biomathematics, genomics, systems biology, cancer biology, translational and clinical research, biophysics, and computer science.

Publications
A high-risk retinoblastoma subtype with stemness features, dedifferentiated cone states and neuronal/ganglion cell gene expression
Nature Communications
Jing Liu, Daniela Ottaviani, Meriem Sefta, Céline Desbrousses, Elodie Chapeaublanc, Rosario Aschero, Nanor Sirab, Fabiana Lubieniecki, Gabriela Lamas, Laurie Tonon, Catherine Dehainault, Clément Hua, Paul Fréneaux, Sacha Reichman, Narjesse Karboul, Anne Biton, Liliana Mirabal-Ortega, Magalie Larcher, Céline Brulard, Sandrine Arrufat, André Nicolas, Nabila Elarouci, Tatiana Popova, Fariba Némati, Didier Decaudin, David Gentien, Sylvain Baulande, Odette Mariani, Florent Dufour, Sylvain Guibert, Céline Vallot, Livia Lumbroso-Le Rouic, Alexandre Matet, Laurence Desjardins, Guillem Pascual-Pasto, Mariona Suñol, Jaume Catala-Mora, Genoveva Correa Llano, Jérôme Couturier, Emmanuel Barillot, Paula Schaiquevich, Marion Gauthier-Villars, Dominique Stoppa-Lyonnet, Lisa Golmard, Claude Houdayer, Hervé Brisse, Isabelle Bernard-Pierrot, Eric Letouzé, Alain Viari, Simon Saule, Xavier Sastre-Garau, François Doz, Angel M. Carcaboso, Nathalie Cassoux, Celio Pouponnot, Olivier Goureau, Guillermo Chantada, Aurélien de Reyniès, Isabelle Aerts, François Radvanyi
Gene‐ and pathway‐level analyses of iCOGS variants highlight novel signaling pathways underlying familial breast cancer susceptibility
International Journal of Cancer
Christine Lonjou, Séverine Eon‐Marchais, Thérèse Truong, Marie‐Gabrielle Dondon, Mojgan Karimi, Yue Jiao, Francesca Damiola, Laure Barjhoux, Dorothée Le Gal, Juana Beauvallet, Noura Mebirouk, Eve Cavaciuti, Jean Chiesa, Anne Floquet, Séverine Audebert‐Bellanger, Sophie Giraud, Thierry Frebourg, Jean‐Marc Limacher, Laurence Gladieff, Isabelle Mortemousque, Hélène Dreyfus, Sophie Lejeune‐Dumoulin, Christine Lasset, Laurence Venat‐Bouvet, Yves‐Jean Bignon, Pascal Pujol, Christine M. Maugard, Elisabeth Luporsi, Valérie Bonadona, Catherine Noguès, Pascaline Berthet, Capucine Delnatte, Paul Gesta, Alain Lortholary, Laurence Faivre, Bruno Buecher, Olivier Caron, Marion Gauthier‐Villars, Isabelle Coupier, Sylvie Mazoyer, Luis‐Cristobal Monraz, Maria Kondratova, Inna Kuperstein, Pascal Guénel, Emmanuel Barillot, Dominique Stoppa‐Lyonnet, Nadine Andrieu, Fabienne Lesueur
COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms
Scientific Data
Marek Ostaszewski, Alexander Mazein, Marc E. Gillespie, Inna Kuperstein, Anna Niarakis, Henning Hermjakob, Alexander R. Pico, Egon L. Willighagen, Chris T. Evelo, Jan Hasenauer, Falk Schreiber, Andreas Dräger, Emek Demir, Olaf Wolkenhauer, Laura I. Furlong, Emmanuel Barillot, Joaquin Dopazo, Aurelio Orta-Resendiz, Francesco Messina, Alfonso Valencia, Akira Funahashi, Hiroaki Kitano, Charles Auffray, Rudi Balling, Reinhard Schneider
Interpreting pathways to discover cancer driver genes with Moonlight
Nature Communications
Antonio Colaprico, Catharina Olsen, Matthew H. Bailey, Gabriel J. Odom, Thilde Terkelsen, Tiago C. Silva, André V. Olsen, Laura Cantini, Andrei Zinovyev, Emmanuel Barillot, Houtan Noushmehr, Gloria Bertoli, Isabella Castiglioni, Claudia Cava, Gianluca Bontempi, Xi Steven Chen, Elena Papaleo