Research
A primary research interest of the group is deciphering the complex and diverse cell-cell interaction landscape in the mammalian immune response.
We develop and apply a broad set of tools comprising data-driven mathematical modeling techniques (ODE, PDE, models with distributed delay), as well as advanced machine-learning methods for high-dimensional data analysis (single-cell sequencing, spatial proteomics).
Together with exerimental and clinical partners, we investigate immune-cell dynamics in the context of cancer immunotherapy, chronic inflammation, infectious diseases.
Selected publications
Horn V#, Cancino C#, Steinheuer L#, ... KT*, Hegazy AN*. Gastroenterology 2024. https://doi.org/10.1053/j.gastro.2024.09.021
Brunner P, Kiwitz L, Li L, KT. iScience 27:110134 (2024). https://doi.org/10.1016/j.isci.2024.110134
Kwon G, Wiedemann A, Steinheuer LM, ..., Dörner T*, KT*. NPJ Syst Biol Appl 2023. https://doi.org/10.1038/s41540-023-00319-z
Burt P and KT. Sci Adv 2023. https://doi.org/10.1126/sciadv.adg7668.
Burt P, Peine M, Peine C, ..., Löhning M*, KT*. Front Immunol 2022. https://doi.org/10.3389/fimmu.2022.928018
KT*, Wu LF*, Altschuler SJ*. Cell Systems 2018. https://doi.org/10.1016/j.cels.2018.01.016.
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Previous research areas
- Metabolic regulation by the circadian clock
- Mechano-chemical regulation of cell motility
- Fold-change detection by stochastic intracellular Ca(2+) dynamics
-> Publications