Posts by Collection

portfolio

From understanding to rational design of next-generation cancer therapies

This project aims to combine immunotherapy with classical cancer therapies at ultra-low, sublethal doses to maximize efficacy. Informed by single-cell analyses and advanced statistical inference methods, we employ mathematical modeling of intracellular damage dynamics to maximize treatment efficacy.

Dissecting and overcoming collective therapy resistance

This project studies how cancer cells collectively survive and resist treatment. We identify which cells resist chemotherapy using advanced data analysis methods and find new ways to target them. We simulate collective cancer cell behavior using a mechanistic model predicting effective treatment strategies. The ultimate goal is discovering new treatment combinations targeting cancer cell interactions and resistance.

publications

Syga, S., Nava-Sedeño, J. M., Brusch, L., & Deutsch, A. (2019). "A lattice-gas cellular automaton model for discrete excitable media." In Spirals and Vortices: In Culture, Nature, and Science (pp. 253-264). Springer.

Ilina, O., Gritsenko, P. G., Syga, S., et al. (2020). "Cell–cell adhesion and 3D matrix confinement determine jamming transitions in breast cancer invasion." Nature Cell Biology. 22(9), 1103-1115.

Barua, A.*, Syga, S.*, Mascheroni, P., Kavallaris, N., Meyer-Hermann, M., Deutsch, A., & Hatzikirou, H. (2020). "Entropy-driven cell decision-making predicts 'fluid-to-solid' transition in multicellular systems." New Journal of Physics. 22(12), 123034.

Scholich, A., Syga, S., Morales-Navarrete, H., et al. (2020). "Quantification of nematic cell polarity in three-dimensional tissues." PLOS Computational Biology. 16(12), e1008412.

Deutsch, A., Nava-Sedeño, J. M., Syga, S., & Hatzikirou, H. (2021). "BIO-LGCA: A cellular automaton modelling class for analysing collective cell migration." PLOS Computational Biology. 17(6), e1009066.

Syga, S., David-Rus, D., Schälte, Y., Hatzikirou, H., & Deutsch, A. (2021). "Inferring the effect of interventions on COVID-19 transmission networks." Scientific Reports. 11(1), 1-11.

Freitas, D., & Syga, S. (2022). "35 Cent weniger für Benzin und 17 Cent weniger für Diesel -- Der Tankrabatt ist angekommen." ifo Dresden berichtet. 29(5), 13-18.

Syga, S., Wolf-Gladrow, D., & Deutsch, A. (2022). "Mathematik der Pandemie." Springer Berlin.

Beunk, L., Wen, N., van Helvert, S., Bekker, B., Ran, L., Kang, R., Paulat, T., Syga, S., Deutsch, A., Friedl, P., & Wolf, K. (2023). "Cell jamming in a collagen-based interface assay: tuning by collagen density and proteolysis." Journal of Cell Science. 136, jcs260207.

Nava-Sedeño, J. M., Syga, S., & Deutsch, A. (2023). "Artificial patterns in spatially discrete models of cell migration and how to mitigate them." BIOMATH. 12(2), 2311177.

Syga, S., Jain, H. P., Krellner, M., Hatzikirou, H., & Deutsch, A. (2024). "Evolution of phenotypic plasticity leads to tumor heterogeneity with implications for therapy." PLOS Computational Biology. 20(8), e1012003.

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.

Simon Syga

Posts by Collection

portfolio

From understanding to rational design of next-generation cancer therapies

Dissecting and overcoming collective therapy resistance

publications

talks

Plasticity of Collective and Single Cell Invasion in Cancer Cells

A new lattice-gas cellular automaton model for cell aggregation

A new lattice-gas cellular automaton model explains plasticity of breast cancer invasion

Cell-cell adhesion and matrix confinement explain plasticity of breast cancer invasion

Inferring the effect of interventions on COVID-19 transmission networks

Evolutionary dynamics during tumor growth: Connecting micro- and macroscale

Evolutionary dynamics during tumor growth

Natural selection under the go-or-grow dichotomy: Heterogeneity and implications for cancer treatment

Natural selection under the go-or-grow dichotomy: Heterogeneity and implications for cancer treatment

Natural selection under the go-or-grow dichotomy: Heterogeneity and implications for cancer treatment

Emerging tumor heterogeneity predicts variability in treatment response

Impacts of genetic and phenotypic heterogeneity on tumor evolution

Evolution of phenotypic plasticity leads to tumor heterogeneity with implications for therapy

Evolution of phenotypic plasticity leads to tumor heterogeneity with implications for therapy

Impacts of genetic and phenotypic heterogeneity on tumor evolution

Evolution of phenotypic plasticity leads to tumor heterogeneity with implications for therapy

Impacts of genetic and phenotypic heterogeneity on tumor evolution

Swarming model with minority interaction exhibits scale-free correlations

Evolution of phenotypic plasticity leads to tumor heterogeneity with implications for therapy

Multicellular Modelling Workshop

Society for Mathematical Biology Annual Meeting

teaching

Teaching experience 1

Teaching experience 2