Distribution modeling quantifies collective T cell decision circuits in chronic inflammation.
Science advances
View this publicationInstitute of Experimental Oncology
Medical Faculty, University of Bonn University Hospital of Bonn Venusberg-Campus 1 53127 Bonn
The mammalian immune response depends on the interaction and collaboration of many highly individual cells. Further, cells themselves are regulated by complex intracellular networks such as signal transduction and gene regulation, and cell-cell communication by diffusible ligands generates spatial signaling gradients, with far-reaching consequences for immune-cell decision making in compartments such as secondary lymphoid organs. Our group develops and applies mathematical methods for data-driven dissection of intercellular communication networks in time and space. Ultimately, we seek to derive predictive models in the context of clinical conditions such as chronic inflammation and cancer, to investigate the effects of perturbations and thus pave the road for optimization of targeted therapies in the future.
Recent publications
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Dissecting the dynamic transcriptional landscape of early T helper cell differentiation into Th1, Th2, and Th1/2 hybrid cells.
Frontiers in immunology
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Data-Driven Mathematical Model of Apoptosis Regulation in Memory Plasma Cells.
Cells
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