Research Areas & Projects
Research Areas, Projects, and prioritized cell states in the CRC
Joint analysis of the immediate dynamics of resistant melanoma cell states (Area A, green) within their complex tumor microenvironment (Area B, blue) is possible through consortial data analysis, data management, and data sharing (Area C, orange). Created with BioRender.com.
DYNAMO Area A – Tumor Cell Intrinsic Drivers
A01 - Modelling the molecular determinants of intrinsic drug resistance in melanoma
Scientific Field
Translational Dermato-Oncology, Tumor Cell Metabolism
A02 - Melanoma cell state dependent and therapy induced adaptive lipid reprogramming
Scientific Field
Translational Oncology, Tumor Immunolygy
A03 - Dissecting metabolic heterogeneity and crosstalk of melanoma and immune cells under therapy
Scientific Field
Tumor Metabolism, Theranostics
A04 - Metabolic interplay of the tumor endothelium and resistant melanoma cells under MAPK-targeted therapy
Scientific Field
Metabolic signaling, Angiogenesis & Vascular Metabolism
DYNAMO Area B - Tumor Environmental Drivers
B01 - Heterogeneity and dynamic plasticity of cancer-associated fibroblasts as determinants of melanoma response to immunotherapy
Scientific Field
Translational Dermato-Oncology, Translational Oncology
B02 - Microenvironmental drivers of HLA class II-positive melanoma cell states and their role in immediate therapy resistance
Scientific Field
Tumor Immunology, Tumor Heterogeneity and Translational Systems Biology
B03 - Identifying and overcoming early on-treatment constraints of CAR T cell function targeting melanoma
Scientific Field
Cancer Immunotherapy, Translational Oncology, Hematology and stemcell transplantation
B04 - Understanding the impact of NK cell plasticity for primary resistance in melanoma
Scientific Field
Cell plasticity and metastasis, Tumor Immunology
B05 - Metabolic polarization of macrophages as early driver of therapy resistance in melanoma
Scientific Field
Translational Dermato-Oncology, Experimental Immunology and Imaging
B06 - Deciphering neutrophil heterogeneity and its implications for immune checkpoint inhibitor response in melanoma
Scientific Field
Imaging, Immunobiology, Tumor heterogeneity and Plasticity
DYNAMO Area C – Data Driven Learning & Sharing
C01 - Learning of early immunotherapy-induced phenoscapes through multiomic spatio-temporal mapping
Scientific Field
Applied Computational Cancer Research
C02 - Automated validation, design and exchange of molecular hypotheses as an integral feature of melanoma biobanking and consortial resistance research
Scientific Field
Translational Dermato-Oncology, Bioinformatics and Computational Oncology
General and service projects
Z01 - Central Coordination Project of the CRC DYNAMO
Scientific Field
Research Coordination
Z02 - Integration of the DYNAMO Research Data Management (RDM) into the Smart Hospital Information Platform SHIP for translational data exploration and biodiversity biomarker discovery
Scientific Field
Research data management and exploration of biodiversity markers