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32 results on '"Binenbaum, Ilona"'

2. The impact of methylome analysis on the diagnosis and treatment of CNS tumours in children and adolescents: A population-based study in Greece

Author

Filippidou, Maria, Glentis, Stavros, Binenbaum, Ilona, Sill, Martin, Roka, Kleoniki, Vlachou, Antonia, Avgerinou, Georgia, Ecker, Jonas, Selt, Florian, Hasselblatt, Martin, Blattner-Johnson, Mirjam, Schramm, Kathrin, Trougkou, Clio, Doganis, Dimitrios, Katzilakis, Nikolaos, Ridola, Vita, Papakonstantinou, Evgenia, Papadakis, Vassilios, Hatzipantelis, Emmanouel, Kokkinou, Eleftheria, Pons, Roser, Kanaka-Gantenbein, Christina, Sturm, Dominik, Hirsch, Steffen, Dikow, Nicola, Pajtler, Kristian W., van Tilburg, Cornelis M., Frühwald, Michael C., Milde, Till, Witt, Olaf, Jones, David T.W., Von Deimling, Andreas, Sahm, Felix, Stefanaki, Kalliopi, Pfister, Stefan M., and Kattamis, Antonis

Published
2024
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3. Soft Tissue Undifferentiated Sarcoma Carrying a Novel Onecut1::Nutm1 Fusion.

Author

Filippidou, Maria, Glentis, Stavros, Rigatou, Efthymia, Sievers, Philipp, Selt, Florian, Dimitriadis, Efthymios, Perari, Panagiota, Binenbaum, Ilona, Avgerinou, Georgia, van Tilburg, Cornelis M., Jones, David T. W., Sahm, Felix, Milde, Till, Witt, Olaf, Pfister, Stefan M., Grünewald, Thomas G. P., Stefanaki, Kalliopi, and Kattamis, Antonis

Published
2025
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11. I-FISH Guided Cytogenetic Study of Non-Hodgkin Lymphomas in Children and Adolescents: Correlation with Etiology and Outcome

Author

Avgerinou, Georgia, primary, Filippidou, Maria, additional, Binenbaum, Ilona, additional, Tziola, Tatiana-Soultana, additional, Stefanaki, Kalliopi, additional, Katsibardi, Katerina, additional, Pavlidis, Dimitrios, additional, Kattamis, Antonis, additional, Polychronopoulou, Sophia, additional, Mantzourani, Marina, additional, and Papadhimitriou, Stefanos I, additional

Published
2022
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14. PATH-13. Methylation analysis in the diagnosis of pediatric CNS tumors; a single center experience

Author

Filippidou, Maria, primary, Binenbaum, Ilona, additional, Glentis, Stavros, additional, Roka, Kleoniki, additional, Vlachou, Antonia, additional, Avgerinou, Georgia, additional, Stefanaki, Kalliopi, additional, Selt, Florian, additional, Milde, Till, additional, Sahm, Felix, additional, Witt, Olaf, additional, Jones, David T, additional, Pfister, Stefan M, additional, and Kattamis, Antonis, additional

Published
2022
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15. FISH-Guided Evaluation of Hyperdiploidy and Other Cytogenetic Abnormalities in Childhood Burkitt Lymphoma

Author

Avgerinou, Georgia, primary, Filippidou, Maria, additional, Kostopoulos, Ioannis V, additional, Exarchos, Athanasios, additional, Stefanaki, Kalliopi, additional, Binenbaum, Ilona, additional, Liapis, Konstantinos, additional, Kossiva, Lydia, additional, Katsibardi, Katerina, additional, Polychronopoulou, Sophia, additional, Mantzourani, Marina, additional, Kattamis, Antonis, additional, and Papadhimitriou, Stefanos, additional

Published
2021
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19. Abrogating GPT2 in triple‐negative breast cancer inhibits tumor growth and promotes autophagy

Author

Mitra, Devina, primary, Vega‐Rubin‐de‐Celis, Silvia, additional, Royla, Nadine, additional, Bernhardt, Stephan, additional, Wilhelm, Heike, additional, Tarade, Nooraldeen, additional, Poschet, Gernot, additional, Buettner, Michael, additional, Binenbaum, Ilona, additional, Borgoni, Simone, additional, Vetter, Martina, additional, Kantelhardt, Eva Johanna, additional, Thomssen, Christoph, additional, Chatziioannou, Aristotelis, additional, Hell, Rüdiger, additional, Kempa, Stefan, additional, Müller‐Decker, Karin, additional, and Wiemann, Stefan, additional

Published
2021
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20. Children Diagnosed with Acute Leukemia of Ambiguous Lineage (ALAL) Benefit from Acute Myeloid Leukemia (AML) Treatment Protocols: A Retrospective Analysis from a Single Center

Author

Avgerinou, Georgia, primary, Binenbaum, Ilona, additional, Glentis, Stavros, additional, Tzannoudaki, Marianna, additional, Papadhimitriou, Stefanos, additional, Rigatou, Efthimia, additional, Katsibardi, Katerina, additional, Tourkantoni, Natalia, additional, Tsipou, Haroula, additional, Roka, Kleoniki, additional, Vlachou, Antonia, additional, Filippidou, Maria, additional, and Kattamis, Antonis, additional

Published
2020
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21. Container-aided Integrative QTL and RNA-seq Analysis of Collaborative Cross Mice Supports Distinct Sex-Oriented Molecular Modes of Response in Obesity

Author

Binenbaum, Ilona, primary, Atamni, Hanifa Abu-Toamih, additional, Fotakis, Georgios, additional, Kontogianni, Georgia, additional, Koutsandreas, Theodoros, additional, Pilalis, Eleftherios, additional, Mott, Richard, additional, Himmelbauer, Heinz, additional, Iraqi, Fuad A., additional, and Chatziioannou, Aristotelis A, additional

Published
2020
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22. Stromal NRG1 in luminal breast cancer defines pro-fibrotic and migratory cancer-associated fibroblasts

Author

Berdiel-Acer, Mireia, primary, Maia, Ana, additional, Hristova, Zhivka, additional, Borgoni, Simone, additional, Vetter, Martina, additional, Burmester, Sara, additional, Becki, Corinna, additional, Abnaof, Khalid, additional, Binenbaum, Ilona, additional, Bethmann, Daniel, additional, Chatziioannou, Aristotelis, additional, Hasmann, Max, additional, Thomssen, Christoph, additional, Espinet, Elisa, additional, and Wiemann, Stefan, additional

Published
2020
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25. Container-aided Integrative QTL and RNA-seq Analysis of Collaborative Cross Mice Supports Distinct Sex-Oriented Molecular Modes of Response in Obesity

Author

Binenbaum, Ilona, primary, Atamni, Hanifa Abu-Toamih, additional, Fotakis, Georgios, additional, Kontogianni, Georgia, additional, Koutsandreas, Theodoros, additional, Pilalis, Eleftherios, additional, Mott, Richard, additional, Himmelbauer, Heinz, additional, Iraqi, Fuad A., additional, and Chatziioannou, Aristotelis, additional

Published
2019
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26. Benefits and challenges of Big Data in healthcare: an overview of the European initiatives

Author

Pastorino, Roberta, De Vito, Corrado, Migliara, Giuseppe, Glocker, Katrin, Binenbaum, Ilona, Ricciardi, Walter, Boccia, Stefania, Pastorino, Roberta (ORCID:0000-0001-5013-0733), Ricciardi, Walter (ORCID:0000-0002-5655-688X), Boccia, Stefania (ORCID:0000-0002-1864-749X), Pastorino, Roberta, De Vito, Corrado, Migliara, Giuseppe, Glocker, Katrin, Binenbaum, Ilona, Ricciardi, Walter, Boccia, Stefania, Pastorino, Roberta (ORCID:0000-0001-5013-0733), Ricciardi, Walter (ORCID:0000-0002-5655-688X), and Boccia, Stefania (ORCID:0000-0002-1864-749X)

Abstract

Healthcare systems around the world are facing incredible challenges due to the ageing population and the related disability, and the increasing use of technologies and citizen's expectations. Improving health outcomes while containing costs acts as a stumbling block. In this context, Big Data can help healthcare providers meet these goals in unprecedented ways. The potential of Big Data in healthcare relies on the ability to detect patterns and to turn high volumes of data into actionable knowledge for precision medicine and decision makers. In several contexts, the use of Big Data in healthcare is already offering solutions for the improvement of patient care and the generation of value in healthcare organizations. This approach requires, however, that all the relevant stakeholders collaborate and adapt the design and performance of their systems. They must build the technological infrastructure to house and converge the massive volume of healthcare data, and to invest in the human capital to guide citizens into this new frontier of human health and well-being. The present work reports an overview of best practice initiatives in Europe related to Big Data analytics in public health and oncology sectors, aimed to generate new knowledge, improve clinical care and streamline public health surveillance.

Published
2019

29. Enhancement of COPD biological networks using a web-based collaboration interface

Author

Luxembourg Centre for Systems Biomedicine (LCSB): Computational Biology (Del Sol Group) [research center], Boue, Stephanie, Fields, Brett, Hoeng, Julia, Park, Jennifer, Peitsch, Manuel C., Schlage, Walter K., Talikka, Marja, Binenbaum, Ilona, Bondarenko, Vladimir, Bulgakov, Oleg V., Cherkasova, Vera, Diaz-Diaz, Norberto, Fedorova, Larisa, Guryanova, Svetlana, Guzova, Julia, Igorevna Koroleva, Galina, Kozhemyakina, Elena, Kumar, Rahul, Lavid, Noa, Lu, Qingxian, Menon, Swapna, Ouliel, Yael, Peterson, Samantha C., Prokhorov, Alexander, Sanders, Edward, Schrier, Sarah, Schwaitzer Neta, Golan, Shvydchenko, Irina, Tallam, Aravind, Villa-Fombuena, Gema, Wu, John, Yudkevich, Ilya, Zelikman, Mariya, Luxembourg Centre for Systems Biomedicine (LCSB): Computational Biology (Del Sol Group) [research center], Boue, Stephanie, Fields, Brett, Hoeng, Julia, Park, Jennifer, Peitsch, Manuel C., Schlage, Walter K., Talikka, Marja, Binenbaum, Ilona, Bondarenko, Vladimir, Bulgakov, Oleg V., Cherkasova, Vera, Diaz-Diaz, Norberto, Fedorova, Larisa, Guryanova, Svetlana, Guzova, Julia, Igorevna Koroleva, Galina, Kozhemyakina, Elena, Kumar, Rahul, Lavid, Noa, Lu, Qingxian, Menon, Swapna, Ouliel, Yael, Peterson, Samantha C., Prokhorov, Alexander, Sanders, Edward, Schrier, Sarah, Schwaitzer Neta, Golan, Shvydchenko, Irina, Tallam, Aravind, Villa-Fombuena, Gema, Wu, John, Yudkevich, Ilya, and Zelikman, Mariya

Abstract

The construction and application of biological network models is an approach that offers a holistic way to understand biological processes involved in disease. Chronic obstructive pulmonary disease (COPD) is a progressive inflammatory disease of the airways for which therapeutic options currently are limited after diagnosis, even in its earliest stage. COPD network models are important tools to better understand the biological components and processes underlying initial disease development. With the increasing amounts of literature that are now available, crowdsourcing approaches offer new forms of collaboration for researchers to review biological findings, which can be applied to the construction and verification of complex biological networks. We report the construction of 50 biological network models relevant to lung biology and early COPD using an integrative systems biology and collaborative crowd-verification approach. By combining traditional literature curation with a data-driven approach that predicts molecular activities from transcriptomics data, we constructed an initial COPD network model set based on a previously published non-diseased lung-relevant model set. The crowd was given the opportunity to enhance and refine the networks on a website (https://bionet.sbvimprover.com/) and to add mechanistic detail, as well as critically review existing evidence and evidence added by other users, so as to enhance the accuracy of the biological representation of the processes captured in the networks. Finally, scientists and experts in the field discussed and refined the networks during an in-person jamboree meeting. Here, we describe examples of the changes made to three of these networks: Neutrophil Signaling, Macrophage Signaling, and Th1-Th2 Signaling. We describe an innovative approach to biological network construction that combines literature and data mining and a crowdsourcing approach to generate a comprehensive set of COPD-relevant models that can be u

Published
2015

30. Chemotherapy-free approach with arsenic trioxide and <italic>all-trans</italic> retinoic acid in children with acute promyelocytic leukemia.

Author

Avgerinou, Georgia, Solomou, Elena E., Filippidou, Maria, Perganti, Foteini, Roka, Kleoniki, Rigatou, Efthymia, Katsibardi, Katerina, Glentis, Stavros, Vlachou, Antonia, Binenbaum, Ilona, and Kattamis, Antonis

Subjects
*ACUTE promyelocytic leukemia, *INTRACRANIAL hypertension, *LEUCOCYTES, *ACUTE myeloid leukemia, *CHILD patients, CAUSE of death statistics
Abstract

The document discusses a chemotherapy-free approach using arsenic trioxide and all-trans retinoic acid in children with acute promyelocytic leukemia (APL). The study shows that this approach resulted in excellent outcomes and overall survival in children with APL. The combination of all-trans retinoic acid and arsenic trioxide was found to be effective in achieving complete remission and reducing the risk of relapse in pediatric patients with APL. The study suggests that targeted treatment options without chemotherapy represent a new therapeutic era for childhood APL, although further research with a larger number of patients is needed to validate these findings. [Extracted from the article]

Published
2024
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31. Μελέτη της βιολογικής δράσης επιμέρους περιοχών του αυξητικού παράγοντα HARP

Author

Κατσώρης, Παναγιώτης, Binenbaum, Ilona, Μίντζας, Αναστάσιος, and Φλυτζάνης, Κωνσταντίνος

Subjects
Αυξητικοί παράγοντες, PC3 κύτταρα, 571.84, HARP, PC3 cells, Ανοσοστυπώματα, Growth factors
Abstract

Η HARP είναι ένας αυξητικός παράγοντας με πλειοτροπική δράση που εμπλέκεται στην ανάπτυξη, τη διαφοροποίηση και τη μετανάστευση πολλών ειδών κυττάρων καθώς και στην αγγειογένεση και την καρκινογένεση. Η HARP ασκεί τις δράσεις της μέσω των διαμεμβρανικών της υποδοχέων RPTPβ/ζ, ALK και Ν-συνδεκάνη. Η δομή της HARP αποτελείται από δύο κεντρικές περιοχές ομόλογες με τις επαναλαμβανόμενες περιοχές τύπου I της θρομβοσπονδίνης (Thrombospondin type I Repeat, TSR) και το αμινοτελικό και καρβοξυτελικό της άκρο που έχουν τυχαία διαμόρφωση στο χώρο. Έχει βρεθεί ότι η HARP αποτελεί υπόστρωμα διάφορων πρωτεολυτικών ενζύμων και πεπτίδια της έχουν ανιχνευθεί στο υγρό θρεπτικό μέσο σε καλλιέργειες διαφόρων κυττάρων. Τα πεπτίδια της HARP μπορούν να έχουν διαφορετική ή και αντίθετη δράση από αυτή ολόκληρου του μορίου. Στo πλαίσιo της μελέτης των επιμέρους περιοχών της HARP που συμμετέχουν στις βιολογικές δράσεις της αλλά και της δράσης των πεπτιδίων που προκύπτουν από την πρωτεόλυσή της, σε αυτή την εργασία μελετήθηκε η δράση δύο ανασυνδυασμένων, τροποποιημένων μορφών της HARP που αντιστοιχούν στις κεντρικές TSR περιοχές, των H9-59 και H60-110, στον πολλαπλασιασμό και την προσκόλληση κυττάρων καρκίνου του προστάτη PC3 και στη φωσφορυλίωση των μορίων μεταγωγής σήματος ERK1/2. Τα αποτελέσματα μας έδειξαν ότι τα πολυπεπτίδια H9-59 και H60-110 καταστέλλουν τον πολλαπλασιασμό των κυττάρων PC3, ενώ επάγουν την προσκόλληση των ίδιων κυττάρων. Επιπλέον, τόσο το H9-59 όσο και το H60-110 επάγουν τη φωσφορυλίωση των ERK1/2. HARP is a heparin-binding growth factor, which plays a key role in cell proliferation, differentiation and migration. HARP is also involved in angiogenesis and tumor growth and progression. HARP mediates its functions through its transmembrane receptors RPTPβ/ζ, ALK and N-syndecan. Structurally, HARP contains two TSR homologous domains and two basic clusters in its N and C-termini. It has been found that HARP is a substrate for several extracellular proteolytic enzymes and HARP peptides have been detected in conditioned media of cells. HARP peptides often have different or even opposite biological activity from the whole molecule. The aim of this project was to study the biological activity of two recombinant, truncated forms of HARP that correspond to the two TSR domains, H9-59 and H60-110, in order to contribute to the study of the HARP domains that mediate its biological activities and also the biological activity of HARP peptides. The results of the study show that both H9-59 and H60-110 inhibit the proliferation of PC3 cells but stimulate their adhesion. Moreover, both H9-59 and H60-110 stimulate the phosphorylation of ERK1/2.

Published
2012

32. Enhancement of COPD biological networks using a web-based collaboration interface.

Author

Boue S, Fields B, Hoeng J, Park J, Peitsch MC, Schlage WK, Talikka M, Binenbaum I, Bondarenko V, Bulgakov OV, Cherkasova V, Diaz-Diaz N, Fedorova L, Guryanova S, Guzova J, Igorevna Koroleva G, Kozhemyakina E, Kumar R, Lavid N, Lu Q, Menon S, Ouliel Y, Peterson SC, Prokhorov A, Sanders E, Schrier S, Schwaitzer Neta G, Shvydchenko I, Tallam A, Villa-Fombuena G, Wu J, Yudkevich I, and Zelikman M

Abstract

The construction and application of biological network models is an approach that offers a holistic way to understand biological processes involved in disease. Chronic obstructive pulmonary disease (COPD) is a progressive inflammatory disease of the airways for which therapeutic options currently are limited after diagnosis, even in its earliest stage. COPD network models are important tools to better understand the biological components and processes underlying initial disease development. With the increasing amounts of literature that are now available, crowdsourcing approaches offer new forms of collaboration for researchers to review biological findings, which can be applied to the construction and verification of complex biological networks. We report the construction of 50 biological network models relevant to lung biology and early COPD using an integrative systems biology and collaborative crowd-verification approach. By combining traditional literature curation with a data-driven approach that predicts molecular activities from transcriptomics data, we constructed an initial COPD network model set based on a previously published non-diseased lung-relevant model set. The crowd was given the opportunity to enhance and refine the networks on a website ( https://bionet.sbvimprover.com/) and to add mechanistic detail, as well as critically review existing evidence and evidence added by other users, so as to enhance the accuracy of the biological representation of the processes captured in the networks. Finally, scientists and experts in the field discussed and refined the networks during an in-person jamboree meeting. Here, we describe examples of the changes made to three of these networks: Neutrophil Signaling, Macrophage Signaling, and Th1-Th2 Signaling. We describe an innovative approach to biological network construction that combines literature and data mining and a crowdsourcing approach to generate a comprehensive set of COPD-relevant models that can be used to help understand the mechanisms related to lung pathobiology. Registered users of the website can freely browse and download the networks.

Published
2015
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