Projects per year
The Multi-omics Data Science Group mainly focuses on the data obtained in cancer biology with high-throughput molecular profiling. We focus on extracting relevant biological signals and predictive features from tumors and surrounding tissues on various modalities: DNA methylation, RNA expression, protein abundance, and tissue histopathological images. Integrating the corresponding data improves our understanding of cancers and lead to better patient stratification and treatment. A special interest of the group is in contribution to translationally-oriented research through strong collaborations at the LIH, LNS and abroad. Members of the team enable cross-disciplinary research partnerships, which benefit from their diverse expertise in biostatistics, large-scale analysis and integration of multi-omics data, machine learning and scientific programming.
Collaborations and top research areas from the last five years
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DIOMEDES: Deconvolution of heterogeneity in the Glioblastoma cellular ecosystem for understanding treatment resistance and improving patient stratification
1/07/22 → 30/06/25
Allergic airway inflammation delays glioblastoma progression and reinvigorates systemic and local immunity in micePoli, A., Oudin, A., Muller, A., Salvato, I., Scafidi, A., Hunewald, O., Domingues, O., Nazarov, P. V., Puard, V., Baus, V., Azuaje, F., Dittmar, G., Zimmer, J., Michel, T., Michelucci, A., Niclou, S. P. & Ollert, M., Mar 2023, In: Allergy: European Journal of Allergy and Clinical Immunology. 78, 3, p. 682-696 15 p.
Research output: Contribution to journal › Article › Research › peer-reviewOpen Access1 Citation (Scopus)
Extracellular Vesicle Secretion by Leukemia Cells In Vivo Promotes CLL Progression by Hampering Antitumor T-cell ResponsesGargiulo, E., Viry, E., Morande, P. E., Largeot, A., Gonder, S., Xian, F., Ioannou, N., Benzarti, M., Borgmann, F. B. K., Mittelbronn, M., Dittmar, G., Nazarov, P. V., Meiser, J., Stamatopoulos, B., Ramsay, A. G., Moussay, E. & Paggetti, J., 6 Jan 2023, In: Blood Cancer Discovery. 4, 1, p. 54-77 24 p.
Research output: Contribution to journal › Article › Research › peer-review7 Citations (Scopus)
Glioblastoma-instructed microglia transit to heterogeneous phenotypic states with phagocytic and dendritic cell-like features in patient tumors and patient-derived orthotopic xenograftsYabo, Y. A., Moreno-Sanchez, P. M., Pires-Afonso, Y., Kaoma, T., Kyriakis, D., Grzyb, K., Poovathingal, S. K., Poli, A., Scafidi, A., Muller, A., Toth, R., Oudin, A., Klink, B., Berchem, G., Berthold, C., Hertel, F., Mittelbronn, M., Heiland, D. H., Skupin, A., Nazarov, P. V., & 3 others, 6 Mar 2023, (bioRxiv).
Research output: Working paper › PreprintOpen Access