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10 results on '"Torrejon, Jacob"'

1. Cancer-specific epigenome identifies oncogenic hijacking by nuclear factor I family proteins for medulloblastoma progression

Author

Shiraishi, Ryo, Cancila, Gabriele, Kumegawa, Kohei, Torrejon, Jacob, Basili, Irene, Bernardi, Flavia, Silva, Patricia Benites Goncalves da, Wang, Wanchen, Chapman, Owen, Yang, Liying, Jami, Maki, Nishitani, Kayo, Arai, Yukimi, Xiao, Zhize, Yu, Hua, Lo Re, Valentina, Marsaud, Véronique, Talbot, Julie, Lombard, Bérangère, Loew, Damarys, Jingu, Maho, Okonechnikov, Konstantin, Sone, Masaki, Motohashi, Norio, Aoki, Yoshitsugu, Pfister, Stefan M., Chavez, Lukas, Hoshino, Mikio, Maruyama, Reo, Ayrault, Olivier, and Kawauchi, Daisuke

Published
2024
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3. Medulloblastomas with ELP1 pathogenic variants: a weakly penetrant syndrome with a restricted spectrum in a limited age window

Author

Guerrini-Rousseau, Léa, primary, Masliah-Planchon, Julien, additional, Filser, Mathilde, additional, Tauziede-Espariat, Arnault, additional, Entz-Werle, Natacha, additional, Maugard, Christine, additional, Hopman, Saskia, additional, Torrejon, Jacob, additional, Gauthier-Villars, Marion, additional, Simaga, Fatoumata, additional, Blauwblomme, Thomas, additional, Beccaria, Kevin, additional, Rouleau, Etienne, additional, Dimaria, Marina, additional, Grill, Jacques, additional, Abbou, Samuel, additional, Claret, Béatrice, additional, Brugières, Laurence, additional, Doz, François, additional, Bouchoucha, Yassine, additional, Faure-Conter, Cécile, additional, Bonadona, Valerie, additional, Mansuy, Ludovic, additional, de Carli, Emilie, additional, Ingster, Olivier, additional, Legrand, Clémentine, additional, Pagnier, Anne, additional, Berthet, Pascaline, additional, Bodet, Damien, additional, Julia, Sophie, additional, Bertozzi, Anne-Isabelle, additional, Wilems, Marjolaine, additional, Maurage, Claude-Alain, additional, Delattre, Olivier, additional, Ayrault, Olivier, additional, Dufour, Christelle, additional, and Bourdeaut, Franck, additional

Published
2024
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5. Clinical outcome of pediatric medulloblastoma patients with Li–Fraumeni syndrome

Author

Kolodziejczak, Anna S, primary, Guerrini-Rousseau, Lea, additional, Planchon, Julien Masliah, additional, Ecker, Jonas, additional, Selt, Florian, additional, Mynarek, Martin, additional, Obrecht, Denise, additional, Sill, Martin, additional, Autry, Robert J, additional, Stutheit-Zhao, Eric, additional, Hirsch, Steffen, additional, Amouyal, Elsa, additional, Dufour, Christelle, additional, Ayrault, Olivier, additional, Torrejon, Jacob, additional, Waszak, Sebastian M, additional, Ramaswamy, Vijay, additional, Pentikainen, Virve, additional, Demir, Haci Ahmet, additional, Clifford, Steven C, additional, Schwalbe, Ed C, additional, Massimi, Luca, additional, Snuderl, Matija, additional, Galbraith, Kristyn, additional, Karajannis, Matthias A, additional, Hill, Katherine, additional, Li, Bryan K, additional, Walsh, Mike, additional, White, Christine L, additional, Redmond, Shelagh, additional, Loizos, Loizou, additional, Jakob, Marcus, additional, Kordes, Uwe R, additional, Schmid, Irene, additional, Hauer, Julia, additional, Blattmann, Claudia, additional, Filippidou, Maria, additional, Piccolo, Gianluca, additional, Scheurlen, Wolfram, additional, Farrag, Ahmed, additional, Grund, Kerstin, additional, Sutter, Christian, additional, Pietsch, Torsten, additional, Frank, Stephan, additional, Schewe, Denis M, additional, Malkin, David, additional, Ben-Arush, Myriam, additional, Sehested, Astrid, additional, Wong, Tai-Tong, additional, Wu, Kuo-Sheng, additional, Liu, Yen-Lin, additional, Carceller, Fernando, additional, Mueller, Sabine, additional, Stoller, Schuyler, additional, Taylor, Michael D, additional, Tabori, Uri, additional, Bouffet, Eric, additional, Kool, Marcel, additional, Sahm, Felix, additional, von Deimling, Andreas, additional, Korshunov, Andrey, additional, von Hoff, Katja, additional, Kratz, Christian P, additional, Sturm, Dominik, additional, Jones, David T W, additional, Rutkowski, Stefan, additional, van Tilburg, Cornelis M, additional, Witt, Olaf, additional, Bougeard, Gaëlle, additional, Pajtler, Kristian W, additional, Pfister, Stefan M, additional, Bourdeaut, Franck, additional, and Milde, Till, additional

Published
2023
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6. Longitudinal characterization of primary osteosarcoma and derived subcutaneous and orthotopic relapsed patient-derived xenograft models

Author

da Costa, Maria Eugenia Marques, primary, Droit, Robin, additional, Khneisser, Pierre, additional, Gomez-Brouchet, Anne, additional, Adam-de-Beaumais, Tiphaine, additional, Nolla, Marie, additional, Signolles, Nicolas, additional, Torrejon, Jacob, additional, Lombard, Bérangère, additional, Loew, Damarys, additional, Ayrault, Olivier, additional, Scoazec, Jean-Yves, additional, Geoerger, Birgit, additional, Vassal, Gilles, additional, Marchais, Antonin, additional, and Gaspar, Nathalie, additional

Published
2023
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7. Longitudinal characterization of primary osteosarcoma and derived subcutaneous and orthotopic relapsed patient-derived xenograft models.

Author

Marques da Costa, Maria Eugenia, Droit, Robin, Khneisser, Pierre, Gomez-Brouchet, Anne, Adam-de-Beaumais, Tiphaine, Nolla, Marie, Signolles, Nicolas, Torrejon, Jacob, Lombard, Bérangère, Loew, Damarys, Ayrault, Olivier, Scoazec, Jean-Yves, Geoerger, Birgit, Vassal, Gilles, Marchais, Antonin, and Gaspar, Nathalie

Subjects
OSTEOSARCOMA, YOUNG adults, DNA repair, BONE cancer, CELL cycle
Abstract

Osteosarcoma is a rare bone cancer in adolescents and young adults with a dismal prognosis because of metastatic disease and chemoresistance. Despite multiple clinical trials, no improvement in outcome has occurred in decades. There is an urgent need to better understand resistant and metastatic disease and to generate in vivo models from relapsed tumors. We developed eight new patient-derived xenograft (PDX) subcutaneous and orthotopic/paratibial models derived from patients with recurrent osteosarcoma and compared the genetic and transcriptomic landscapes of the disease progression at diagnosis and relapse with the matching PDX. Whole exome sequencing showed that driver and copy-number alterations are conserved from diagnosis to relapse, with the emergence of somatic alterations of genes mostly involved in DNA repair, cell cycle checkpoints, and chromosome organization. All PDX patients conserve most of the genetic alterations identified at relapse. At the transcriptomic level, tumor cells maintain their ossification, chondrocytic, and trans-differentiation programs during progression and implantation in PDX models, as identified at the radiological and histological levels. A more complex phenotype, like the interaction with immune cells and osteoclasts or cancer testis antigen expression, seemed conserved and was hardly identifiable by histology. Despite NSG mouse immunodeficiency, four of the PDX models partially reconstructed the vascular and immune-microenvironment observed in patients, among which the macrophagic TREM2/TYROBP axis expression, recently linked to immunosuppression. Our multimodal analysis of osteosarcoma progression and PDX models is a valuable resource to understand resistance and metastatic spread mechanisms, as well as for the exploration of novel therapeutic strategies for advanced osteosarcoma. [ABSTRACT FROM AUTHOR]

Published
2023
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8. Oncogenic chimeric transcription factors drive tumor-specific transcription, processing, and translation of silent genomic regions

Author

Vibert, Julien, primary, Saulnier, Olivier, additional, Collin, Céline, additional, Petit, Floriane, additional, Borgman, Kyra J.E., additional, Vigneau, Jérômine, additional, Gautier, Maud, additional, Zaidi, Sakina, additional, Pierron, Gaëlle, additional, Watson, Sarah, additional, Gruel, Nadège, additional, Hénon, Clémence, additional, Postel-Vinay, Sophie, additional, Deloger, Marc, additional, Raynal, Virginie, additional, Baulande, Sylvain, additional, Laud-Duval, Karine, additional, Hill, Véronique, additional, Grossetête, Sandrine, additional, Dingli, Florent, additional, Loew, Damarys, additional, Torrejon, Jacob, additional, Ayrault, Olivier, additional, Orth, Martin F., additional, Grünewald, Thomas G.P., additional, Surdez, Didier, additional, Coulon, Antoine, additional, Waterfall, Joshua J., additional, and Delattre, Olivier, additional

Published
2022
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9. MEDB-84. The French experience of ELP1-related medulloblastomas

Author

Tauziède-Espariat, Arnault, primary, Guerrini-Rousseau, Léa, additional, Perrier, Alexandre, additional, Torrejon, Jacob, additional, Bernardi, Flavia, additional, Filser, Mathilde, additional, Varlet, Pascale, additional, De Carli, Emilie, additional, Pagnier, Anne, additional, Leblond, Pierre, additional, Faure-Conter, Cécile, additional, Doz, Francois, additional, Bertozzi, Anne-Isabelle, additional, Mansuy, Ludovic, additional, Willems, Marjolaine, additional, Palenzuela, Gilles, additional, Entz-Werle, Natacha, additional, Bourneix, Christine, additional, Hasty, Lauren, additional, Delattre, Olivier, additional, Blauwblomme, Thomas, additional, Beccaria, Kevin, additional, Metais, Alice, additional, Ayrault, Olivier, additional, Chrétien, Fabrice, additional, Bourdeaut, Franck, additional, Dufour, Christelle, additional, and Masliah-Planchon, Julien, additional

Published
2022
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10. Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations

Author

UCL - SST/IMCN/BSMA - Bio and soft matter, Chen, Xing, Abreu Araujo, Flavio, Riou, Mathieu, Torrejon, Jacob, Ravelosona, Dafiné, Kang, Wang, Zhao, Weisheng, Grollier, Julie, Querlioz, Damien, UCL - SST/IMCN/BSMA - Bio and soft matter, Chen, Xing, Abreu Araujo, Flavio, Riou, Mathieu, Torrejon, Jacob, Ravelosona, Dafiné, Kang, Wang, Zhao, Weisheng, Grollier, Julie, and Querlioz, Damien

Abstract

Deep learning has an increasing impact to assist research, allowing, for example, the discovery of novel materials. Until now, however, these artificial intelligence techniques have fallen short of discovering the full differential equation of an experimental physical system. Here we show that a dynamical neural network, trained on a minimal amount of data, can predict the behavior of spintronic devices with high accuracy and an extremely efficient simulation time, compared to the micromagnetic simulations that are usually employed to model them. For this purpose, we re-frame the formalism of Neural Ordinary Differential Equations to the constraints of spintronics: few measured outputs, multiple inputs and internal parameters. We demonstrate with Neural Ordinary Differential Equations an accel- eration factor over 200 compared to micromagnetic simulations for a complex problem – the simulation of a reservoir computer made of magnetic skyrmions (20 minutes compared to three days). In a second realization, we show that we can predict the noisy response of experimental spintronic nano-oscillators to varying inputs after training Neural Ordinary Differential Equations on five milliseconds of their measured response to a different set of inputs. Neural Ordinary Differential Equations can therefore constitute a disruptive tool for developing spintronic applications in complement to micromagnetic simulations, which are time-consuming and cannot fit experiments when noise or imperfections are present. Our approach can also be generalized to other electronic devices involving dynamics.

Published
2022

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