A5061482029- Mathematical Biology Tumor Growth
- Microtubule and mitosis dynamics
- Computational Drug Discovery Methods
- Melanoma and MAPK Pathways
- Gene Regulatory Network Analysis
- Evolution and Genetic Dynamics
- Cytokine Signaling Pathways and Interactions
- Cancer Cells and Metastasis
- DNA Repair Mechanisms
- Phagocytosis and Immune Regulation
- Cancer Genomics and Diagnostics
- Inflammasome and immune disorders
- Cell Image Analysis Techniques
- COVID-19 Clinical Research Studies
- Cancer, Hypoxia, and Metabolism
- Advanced Fluorescence Microscopy Techniques
- Single-cell and spatial transcriptomics
- Healthcare Systems and Challenges
- Synthesis and Characterization of Heterocyclic Compounds
- Diffusion and Search Dynamics
- Microwave-Assisted Synthesis and Applications
- Additive Manufacturing and 3D Printing Technologies
- Bone Tissue Engineering Materials
- 3D Printing in Biomedical Research
- SARS-CoV-2 and COVID-19 Research
Uppsala University
2023-2025
Informa (Sweden)
2025
Tampere University
2022-2024
Information Technology University
2024
University of St Andrews
2019-2023
Swansea University
2017-2020
AstraZeneca (Singapore)
2019
Abstract The 2019 novel coronavirus, SARS-CoV-2, is a pathogen of critical significance to international public health. Knowledge the interplay between molecular-scale virus-receptor interactions, single-cell viral replication, intracellular-scale transport, and emergent tissue-scale propagation limited. Moreover, little known about immune system-virus-tissue interactions how these can result in low-level (asymptomatic) infections some cases acute respiratory distress syndrome (ARDS) others,...
A key feature distinguishing 3D bioprinting from other cell culture techniques is its precise control over created structures. This property allows for the high-resolution fabrication of biomimetic structures with controlled structural and mechanical properties such as porosity, permeability, stiffness. However, analyzing post-printing cellular dynamics optimizing their functions within fabricated environment only possible through trial error replicating several experiments. issue motivated...
Neuroblastoma is characterised by significant intratumoural heterogeneity which complicates treatments. Phenotypic adaptation, i.e., the ability of cells to alter their phenotype without genetic mutations, a key factor contributing this heterogeneity. In study, we quantify cell actions and cell-to-cell interactions that lead phenotypic adaptation in vitro under stress. We first record dynamic counts low-nutrient conditions for two lines: IMR-32 SK-N-BE(2). next formulate list permissible...
Abstract In vertical inhibition treatment strategies, multiple components of an intracellular pathway are simultaneously inhibited. Vertical the BRAFV600E–MEK-ERK signalling is a standard care for treating BRAFV600E-mutated melanoma where two targeted cancer drugs, BRAFV600E-inhibitor, and MEK inhibitor, administered in combination. Targeted therapies have been linked to early onsets drug resistance, thus strategies higher complexities lower doses proposed as alternatives current clinical...
Hypoxia-activated prodrugs (HAPs) present a conceptually elegant approach to not only overcome, but better yet, exploit intra-tumoural hypoxia. Despite being successful in vitro and vivo, HAPs are yet achieve results clinical settings. It has been hypothesised that this lack of success can, part, be explained by the insufficiently stringent screening selection determining which tumours suitable for HAP treatments. Taking mathematical modelling approach, we investigate how tumour properties...
Abstract We combine a systems pharmacology approach with an agent-based modelling to simulate LoVo cells subjected AZD6738, ATR (ataxia–telangiectasia-mutated and rad3-related kinase) inhibiting anti-cancer drug that can hinder tumour proliferation by targeting cellular DNA damage responses. The model used in this study is governed set of empirically observable rules. By adjusting only the rules when moving between monolayer multi-cellular spheroid simulations, whilst keeping fundamental...
Abstract Theoretical and applied cancer studies that use individual-based models (IBMs) have been limited by the lack of a mathematical formulation enables rigorous analysis these models. However, spatial cumulant (SCMs), which arisen from theoretical ecology, describe population dynamics generated specific family IBMs, namely spatio-temporal point processes (STPPs). SCMs are spatially resolved formulated system differential equations approximate two STPP-generated summary statistics:...
Abstract Background Simultaneous inhibition of multiple components the BRAF-MEK-ERK cascade (vertical inhibition) has become a standard care for treating BRAF-mutant melanoma. However, molecular mechanism how vertical synergistically suppresses intracellular ERK activity, and consequently cell proliferation, are yet to be fully elucidated. Methods We develop mechanistic mathematical model that describes mutant BRAF inhibitor, dabrafenib, MEK trametinib, affect BRAFV600E-MEK-ERK signalling....
Phenotypic adaptation, the ability of cells to change phenotype in response external pressures, has been identified as a driver drug resistance cancer. To quantify phenotypic adaptation BRAFV600E-mutant melanoma, we develop theoretical model that emerges from data analysis WM239A-BRAFV600E cell growth rates challenge with BRAF-inhibitor encorafenib. Our constitutes population which each is individually described by one multiple discrete and plastic states are directly linked drug-dependent...
Abstract Adaptive resistance contributes significantly to treatment failure in many cancers. Despite the increased prevalence of experimental studies that interrogate this phenomenon, there remains a lack applicable quantitative tools characterise data, and importantly distinguish between as discrete phenotype (potentially heterogeneous) continuous distribution phenotypes. To address this, we develop stochastic individual-based model adaptive low-cell-count proliferation assays. That our...
Abstract The interplay between drug-sensitive and drug-resistant cancer cells has been observed to impact cell-to-cell interactions in experimental settings. However, the role that space plays these remains unclear. In this study, we develop mathematical models investigate how spatial factors affect competition silico. We two baseline study from epithelial FaDu cell line subjected drugs, specifically ATR inhibitor ceralasertib PARP olaparib, target DNA damage response pathways. Our are: (1)...
Intratumour phenotypic heterogeneity is nowadays understood to play a critical role in disease progression and treatment failure. Accordingly, there has been increasing interest the development of mathematical models capable capturing its cancer cell adaptation. This can be systematically achieved by means comprising phenotype-structured nonlocal partial differential equations, tracking evolution density distribution population, which may compared gene protein expression distributions...
Many biological systems regulate phenotypic heterogeneity as a fitness-maximising strategy in uncertain and dynamic environments. Analysis of such strategies is typically confined both to discrete set environmental conditions, (often binary) phenotypes specialised each condition. In this work, we extend theory on fronts encapsulate possibly continuous spectrum arising response two broad classes fluctuations that drive changes the phenotype-dependent growth rates. Specifically, develop...
Abstract We combine a systems pharmacology approach with an agent-based modelling to simulate LoVo cells subjected AZD6738, ATR (ataxia telangiectasia mutated and rad3-related kinase) inhibiting anti-cancer drug that can hinder tumour proliferation by targeting cellular DNA damage responses. The model used in this study is governed set of empirically observable rules. By adjusting only the rules when moving between monolayer multi-cellular spheroid simulations, whilst keeping fundamental...
Pyroptosis is an inflammatory mode of cell death that can contribute to the cytokine storm associated with severe cases coronavirus disease 2019 (COVID-19). The formation NLRP3 inflammasome central pyroptosis, which may be induced by acute respiratory syndrome 2 (SARS-CoV-2). Inflammasome formation, and extension inhibited certain anti-inflammatory drugs. In this study, we present a single-cell mathematical model captures inflammasome, pyroptotic responses intervention hinder inflammasome....
Abstract Hypoxia-activated prodrugs (HAPs) present a conceptually elegant approach to not only overcome, but better yet, exploit intra-tumoural hypoxia. Despite being successful in vitro and vivo , HAPs are yet achieve results clinical settings. It has been hypothesised that this lack of success can, part, be explained by the insufficiently stringent screening selection determining which tumours suitable for HAP treatments. Taking mathematical modelling approach, we investigate how tumour...
Abstract In vertical inhibition treatment strategies, multiple components of an intracellular pathway are simulta-neously inhibited. Vertical the BRAFV600E-MEK-ERK signalling is a standard care for treating BRAFV600E-mutated melanoma where two targeted cancer drugs, BRAFV600E-inhibitor, and MEK-inhibitor, administered in combination. Targeted therapies have been linked to early onsets drug resistance, thus strategies higher complexities lower doses proposed as alternatives current clinical...
Abstract Tumour recurrence post chemotherapy is an established clinical problem and many cancer types are often observed to be increasingly drug resistant subsequent treatments. Drug resistance in a multipart phenomenon which can derived from several origins cases it has been that cells have the ability possess, acquire communicate traits. Here, silico framework developed order study response cell populations exhibiting various features. The based on on-lattice hybrid multiscale mathematical...