Mathematical approaches to Wnt signaling in space and time: From development to cancer
Funding period: 2017-2029
Project Leaders
Abstract
This project develops mathematical models to study how Wnt signaling regulates pattern formation, stem cell dynamics, and tissue organization in development, regeneration, and cancer. We focus on three systems: pattern formation in Hydra, stem cell control in adult neurogenesis and glioblastoma, and stem cell identity in Drosophila niches. Our approach combines mathematical modeling with statistical inference and model-based data analysis. A key challenge is integrating mechanistic models with single-cell transcriptomics and spatial data. These models will enable rigorous hypothesis testing and uncover feedbacks and robustness principles in Wnt-mediated processes.
Project-related Publications
Cross-species comparison reveals therapeutic vulnerabilities halting glioblastoma progression
Unraveling regulatory feedback mechanisms in adult neurogenesis through mathematical modelling
Danciu, DP., Klawe, F.Z., Kazarnikov, A., Femmer, L., Kostina, E., Martin-Villalba, A. and Marciniak-Czochra, A. Unraveling regulatory feedback mechanisms in adult neurogenesis through mathematical modelling. npj Syst Biol Appl 11, 82 (2025). doi:10.1038/s41540-025-00563-5
Learn moreInjury-induced MAPK activation triggers body axis formation in Hydra by default Wnt signaling
The Wnt-specific astacin proteinase HAS-7 restricts head organizer formation in Hydra
Long-time shadow limit for a reaction–diffusion-ODE system
Kowall, C., A. Marciniak-Czochra, and A. Mikelic. February 2021. Applied Mathematics Letters. 106790.
Learn moreHysteresis-driven pattern formation in reaction-diffusion-ODE systems
Alexandra Köthe, Anna Marciniak-Czochra and Izumi Takagi. American Institute of Mathematical Science. June 2020, 40(6): 3595-3627. doi: 10.3934/dcds.2020170
Learn moreQuiescence Modulates Stem Cell Maintenance and Regenerative Capacity in the Aging Brain
Kalamakis G, Brüne D, Ravichandran S, Bolz J, Fan W, Ziebell F, Stiehl T, Catalá-Martinez F, Kupke J, Zhao S, Llorens-Bobadilla E, Bauer K, Limpert S, Berger B, Christen U, Schmezer P, Mallm JP, Berninger B, Anders S, Del Sol A, Marciniak-Czochra A, Martin-Villalba A. Cell. 2019 Mar 7;176(6):1407-1419.e14. PMID: 30827680
Learn morePost-Turing tissue pattern formation: Advent of mechanochemistry
Brinkmann F, Mercker M, Richter T, Marciniak-Czochra A. PLoS Comput Biol. 2018 Jul 3;14(7):e1006259. PMID:29969460
Learn moreDynamical spike solutions in a nonlocal model of pattern formation
Marciniak-Czochra, S. Härting, G. Karch and K. Suzuki (2018, Mar 27), Nonlinearity 31: 1757.
Learn moreRevealing age related changes of adult hippocampal neurogenesis using mathematical models
Development. 2018 Jan 8;145(1):dev153544. doi: 10.1242/dev.153544. PMID: 29229768
Learn moreStable patterns with jump discontinuity in systems with Turing instability and hysteresis
Härting, S., A. Marciniak-Czochra, and I. Takagi. February 2017. Disc. Cont. Dyn. Systems A. 37: 757-800.
Learn moreMechanochemical symmetry breaking in Hydra aggregates
Biophys J. 2015 May 5;108(9):2396-407. doi: 10.1016/j.bpj.2015.03.033. PMID: 25954896
Learn moreA mechanochemical model for embryonic pattern formation: Coupling tissue mechanics and morphogen expression
PLoS One. 2013 Dec 20;8(12):e82617. doi: 10.1371/journal.pone.0082617. eCollection 2013. PMID: 24376555
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