Simon Syga

ORCID: 0000-0001-9955-9012
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About
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Research Areas
  • Cellular Mechanics and Interactions
  • Mathematical Biology Tumor Growth
  • Gene Regulatory Network Analysis
  • COVID-19 epidemiological studies
  • 3D Printing in Biomedical Research
  • Complex Network Analysis Techniques
  • Consumer behavior in food and health
  • Flexible and Reconfigurable Manufacturing Systems
  • Cell Adhesion Molecules Research
  • Mental Health Research Topics
  • Microtubule and mitosis dynamics
  • Immune responses and vaccinations
  • Lattice Boltzmann Simulation Studies
  • Cancer Cells and Metastasis
  • Bone Tissue Engineering Materials
  • Probability and Statistical Research
  • Formal Methods in Verification
  • Geomagnetism and Paleomagnetism Studies
  • Public Administration and Political Analysis
  • Nonlinear Dynamics and Pattern Formation
  • Health Promotion and Cardiovascular Prevention
  • Micro and Nano Robotics
  • History and Theory of Mathematics
  • Opinion Dynamics and Social Influence
  • Radiopharmaceutical Chemistry and Applications

TU Dresden
2019-2024

Digital Science (United States)
2024

Max Planck Institute for the Physics of Complex Systems
2020

Collective dynamics in multicellular systems such as biological organs and tissues plays a key role development, regeneration, pathological conditions. tissue dynamics—understood population behaviour arising from the interplay of constituting discrete cells—can be studied with on- off-lattice agent-based models. However, classical on-lattice models, also known cellular automata, fail to replicate aspects collective migration, which is central instance systems. To overcome drawbacks we...

10.1371/journal.pcbi.1009066 article EN cc-by PLoS Computational Biology 2021-06-15

How epithelial cells coordinate their polarity to form functional tissues is an open question in cell biology. Here, we characterize a unique type of found liver tissue, nematic polarity, which different from vectorial simple, sheet-like epithelia. We propose conceptual and algorithmic framework complex patterns proteins on the surface terms multipole expansion. To rigorously quantify previously observed tissue-level (Morales-Navarrete et al., eLife 2019), introduce concept co-orientational...

10.1371/journal.pcbi.1008412 article EN cc-by PLoS Computational Biology 2020-12-10

Abstract Countries around the world implement nonpharmaceutical interventions (NPIs) to mitigate spread of COVID-19. Design efficient NPIs requires identification structure disease transmission network. We here identify key parameters COVID-19 network for time periods before, during, and after application strict first wave infections in Germany combining Bayesian parameter inference with an agent-based epidemiological model. assume a Watts–Strogatz small-world which allows distinguish...

10.1038/s41598-021-01407-y article EN cc-by Scientific Reports 2021-11-09

Abstract Cellular decision making allows cells to assume functionally different phenotypes in response microenvironmental cues, with or without genetic change. It is an open question, how individual cell decisions influence the dynamics at tissue level. Here, we study spatio-temporal pattern formation a population of exhibiting phenotypic plasticity, which paradigm making. We focus on migration/resting and migration/proliferation plasticity underly epithelial-mesenchymal transition go grow...

10.1088/1367-2630/abcb2e article EN cc-by New Journal of Physics 2020-11-18

ABSTRACT Tumor cell invasion into heterogenous interstitial tissues consisting of network-, channel- or rift-like architectures involves both matrix metalloproteinase (MMP)-mediated tissue remodeling and shape adaptation to geometry. Three-dimensional (3D) models composed either porous linearly aligned have added the understanding how physical spacing principles affect migration efficacy; however, relative contribution each architecture decision making in presence varying MMP availability is...

10.1242/jcs.260207 article EN cc-by Journal of Cell Science 2023-11-21

Cancer is a significant global health issue, with treatment challenges arising from intratumor heterogeneity. This heterogeneity stems mainly somatic evolution, causing genetic diversity within the tumor, and phenotypic plasticity of tumor cells leading to reversible changes. However, interplay both factors has not been rigorously investigated. Here, we examine complex relationship between evolution plasticity, explicitly focusing on cell migration proliferation. type essential in...

10.1101/2024.03.18.585460 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2024-03-19

Cancer is a significant global health issue, with treatment challenges arising from intratumor heterogeneity. This heterogeneity stems mainly somatic evolution, causing genetic diversity within the tumor, and phenotypic plasticity of tumor cells leading to reversible changes. However, interplay both factors has not been rigorously investigated. Here, we examine complex relationship between evolution plasticity, explicitly focusing on cell migration proliferation. type essential in...

10.1371/journal.pcbi.1012003 article EN cc-by PLoS Computational Biology 2024-08-09

Several discrete models for diffusive motion are known to exhibit checkerboard artifacts, absent in their continuous analogues. We study the origins of artifact heat equation and show that this decays exponentially time when following either two strategies: considering present state each lattice site determine its own future (self-contributions), or using non-square geometries. Afterwards, we examine effects these strategies on nonlinear biological cell migration with kinds cell-cell...

10.55630/j.biomath.2023.11.177 article EN cc-by BIOMATH 2023-12-01

Abstract Metastatic tumor cell invasion into interstitial tissue is a mechanochemical process that responds to cues and further involves proteolytic remodeling of the stroma. How matrix density, guidance ability cooperate determine decision-making invading cells in complex-structured three-dimensional (3D) remains unclear. We here developed collagen-based assay containing guiding interface low collagen density adjacent randomly organized 3D fibrillar lattice examined melanoma from...

10.1101/2022.03.16.484647 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2022-03-18

1 Abstract Collective dynamics in multicellular systems such as biological organs and tissues plays a key role development, regeneration, pathological conditions. tissue - understood population behaviour arising from the interplay of constituting discrete cells can be studied with on- off-lattice agent-based models. However, classical on-lattice models, also known cellular automata, fail to replicate aspects collective migration, which is central instance systems. To overcome drawbacks we...

10.1101/2020.10.29.360669 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2020-10-29

Cellular decision making allows cells to assume functionally different phenotypes in response microenvironmental cues, without genetic change. It is an open question, how individual cell decisions influence the dynamics at tissue level. Here, we study spatio-temporal pattern formation a population of exhibiting phenotypic plasticity, which paradigm making. We focus on migration/resting and migration/proliferation plasticity underly epithelial-mesenchymal transition (EMT) go or grow...

10.48550/arxiv.2005.02849 preprint EN public-domain arXiv (Cornell University) 2020-01-01

Countries around the world implement nonpharmaceutical interventions (NPIs) to mitigate spread of COVID-19. Design efficient NPIs requires identification structure disease transmission network. We here identify key parameters COVID-19 network for time periods before, during, and after application strict first wave infections in Germany combining Bayesian parameter inference with an agent-based epidemiological model. assume a Watts-Strogatz small-world which allows distinguish contacts within...

10.48550/arxiv.2012.03846 preprint EN cc-by-nc-sa arXiv (Cornell University) 2020-01-01
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