4.4 Article

The Role of Dimerisation and Nuclear Transport in the Hes1 Gene Regulatory Network

Journal

BULLETIN OF MATHEMATICAL BIOLOGY
Volume 76, Issue 4, Pages 766-798

Publisher

SPRINGER
DOI: 10.1007/s11538-013-9842-5

Keywords

Hes1; Spatial stochastic modelling; Dimerisation; Nuclear transport; URDME

Funding

  1. ERC [227619]
  2. National Institute of Health [1R01EB014877-01]

Ask authors/readers for more resources

Hes1 is a member of the family of basic helix-loop-helix transcription factors and the Hes1 gene regulatory network (GRN) may be described as the canonical example of transcriptional control in eukaryotic cells, since it involves only the Hes1 protein and its own mRNA. Recently, the Hes1 protein has been established as an excellent target for an anti-cancer drug treatment, with the design of a small molecule Hes1 dimerisation inhibitor representing a promising if challenging approach to therapy. In this paper, we extend a previous spatial stochastic model of the Hes1 GRN to include nuclear transport and dimerisation of Hes1 monomers. Initially, we assume that dimerisation occurs only in the cytoplasm, with only dimers being imported into the nucleus. Stochastic simulations of this novel model using the URDME software show that oscillatory dynamics in agreement with experimental studies are retained. Furthermore, we find that our model is robust to changes in the nuclear transport and dimerisation parameters. However, since the precise dynamics of the nuclear import of Hes1 and the localisation of the dimerisation reaction are not known, we consider a second modelling scenario in which we allow for both Hes1 monomers and dimers to be imported into the nucleus, and we allow dimerisation of Hes1 to occur everywhere in the cell. Once again, computational solutions of this second model produce oscillatory dynamics in agreement with experimental studies. We also explore sensitivity of the numerical solutions to nuclear transport and dimerisation parameters. Finally, we compare and contrast the two different modelling scenarios using numerical experiments that simulate dimer disruption, and suggest a biological experiment that could distinguish which model more faithfully captures the Hes1 GRN.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Engineering, Biomedical

Development of a coupled simulation toolkit for computational radiation biology based on Geant4 and CompuCell3D

Ruirui Liu, Kathryn A. Higley, Maciej H. Swat, Mark A. J. Chaplain, Gibin Powathil, James A. Glazier

Summary: The paper discusses the importance of understanding and designing clinical radiation therapy in oncological treatments. A computational platform was introduced to build a sophisticated multicellular model to simulate how radiation affects living tissue biology. By coupling Geant4 and CompuCell3D, the study developed a tool to simulate the dynamics of biological tissue in the presence of ionizing radiation for quantifying the biological consequences of radiation therapy.

PHYSICS IN MEDICINE AND BIOLOGY (2021)

Article Chemistry, Physical

A multiscale compartment-based model of stochastic gene regulatory networks using hitting-time analysis

Adrien Coulier, Stefan Hellander, Andreas Hellander

Summary: Spatial stochastic models of single cell kinetics are crucial in capturing fluctuations in molecular numbers and spatial dependencies, but the computational cost is a limiting factor. Further approximation of spatial dynamics is necessary for improving computational efficiency in practical applications.

JOURNAL OF CHEMICAL PHYSICS (2021)

Article Biology

Mechanical Models of Pattern and Form in Biological Tissues: The Role of Stress-Strain Constitutive Equations

Chiara Villa, Mark A. J. Chaplain, Alf Gerisch, Tommaso Lorenzi

Summary: Mechanical and mechanochemical models of pattern formation in biological tissues, considering different stress-strain constitutive equations for the ECM, reveal that fluid-like constitutive models such as Maxwell and Jeffrey models have higher pattern formation potential compared to solid-like models like Kelvin-Voigt and standard linear solid models. This finding suggests the importance of acquiring detailed quantitative information on the mechanical properties of ECM components in various biological tissues to improve the accuracy of mechanical models in representing tissue rheology.

BULLETIN OF MATHEMATICAL BIOLOGY (2021)

Article Biology

Targeting Cellular DNA Damage Responses in Cancer: An In Vitro-Calibrated Agent-Based Model Simulating Monolayer and Spheroid Treatment Responses to ATR-Inhibiting Drugs

Sara Hamis, James Yates, Mark A. J. Chaplain, Gibin G. Powathil

Summary: The study successfully simulated the treatment responses of LoVo cells to the anti-cancer drug AZD6738 by combining a systems pharmacology approach with an agent-based modelling approach, showing the potential of agent-based models in bridging the gap between in vitro and in vivo research in preclinical drug development.

BULLETIN OF MATHEMATICAL BIOLOGY (2021)

Article Biology

A novel 3D atomistic-continuum cancer invasion model: In silico simulations of an in vitro organotypic invasion assay

Linnea C. Franssen, Nikolaos Sfakianakis, Mark A. J. Chaplain

Summary: A three-dimensional hybrid atomistic-continuum model is developed to describe the invasive growth dynamics of individual cancer cells in tissue, accounting for phenotypic variation and transitions between epithelial-like and mesenchymal-like cell phenotypes. The model consists of partial and stochastic differential equations considering matrix-degrading enzyme concentrations and extracellular matrix density, calibrated to an in vitro invasion assay experiment of oral squamous cell carcinoma cells through parameter estimation and sensitivity analysis. This model provides a new theoretical basis for studying the invasion mechanisms of cancer cells.

JOURNAL OF THEORETICAL BIOLOGY (2021)

Article Multidisciplinary Sciences

Calibrating models of cancer invasion: parameter estimation using approximate Bayesian computation and gradient matching

Yunchen Xiao, Len Thomas, Mark A. J. Chaplain

Summary: Two different methods were proposed to estimate parameters within a partial differential equation model of cancer invasion, one based on approximate Bayesian computation and the other on a two-stage gradient matching method using a generalized additive model. Both methods performed well on simulated data, but the ability to estimate some model parameters deteriorated rapidly in the presence of simulated measurement error.

ROYAL SOCIETY OPEN SCIENCE (2021)

Article Oncology

Quantifying ERK activity in response to inhibition of the BRAFV600E-MEK-ERK cascade using mathematical modelling

Sara J. Hamis, Yury Kapelyukh, Aileen McLaren, Colin J. Henderson, C. Roland Wolf, Mark A. J. Chaplain

Summary: The study developed a mechanistic mathematical model to describe the synergistic action of dabrafenib and trametinib on ERK activity in BRAFV600E-mutant melanoma cells, elucidating the molecular mechanism underlying vertical inhibition of the BRAF-MEK-ERK cascade.

BRITISH JOURNAL OF CANCER (2021)

Editorial Material Biology

Special Collection: Celebrating JD Murray's Contributions to Mathematical Biology

Philip K. Maini, Mark A. J. Chaplain, Mark A. Lewis, Jonathan A. Sherratt

BULLETIN OF MATHEMATICAL BIOLOGY (2022)

Article Biology

A novel nonlocal partial differential equation model of endothelial progenitor cell cluster formation during the early stages of vasculogenesis

Chiara Villa, Alf Gerisch, Mark A. J. Chaplain

Summary: The formation of new vascular networks is crucial for tissue development and regeneration. Cluster-based vasculogenesis, a new mechanism involving the mobilization of cells from the bone marrow, plays a key role in connecting distant blood vessels in vivo. We propose a mathematical model to study the dynamics of cluster formation and investigate the effects of endogenous chemotaxis and matrix degradation through numerical and parametric analysis.

JOURNAL OF THEORETICAL BIOLOGY (2022)

Article Biochemical Research Methods

Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods

Richard Jiang, Prashant Singh, Fredrik Wrede, Andreas Hellander, Linda Petzold

Summary: In this work, a data-driven method is presented to infer the underlying biochemical reaction system governing a set of observed species concentrations over time. The method utilizes sparse Bayesian inference to produce robust, interpretable biochemical reaction networks, along with uncertainty estimates of parameters.

PLOS COMPUTATIONAL BIOLOGY (2022)

Article Mathematics, Applied

New trends of mathematical sciences towards modeling virus pandemics in a globally connected world

N. Bellomo, F. Brezzi, M. A. J. Chaplain

Summary: This editorial proposes modeling and simulation of mutating virus pandemics in a globally connected world. It is divided into three parts: a general framework that goes beyond deterministic population dynamics, the contents of the papers in this issue, and a critical analysis of research perspectives.

MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES (2022)

Article Biochemical Research Methods

Systematic comparison of modeling fidelity levels and parameter inference settings applied to negative feedback gene regulation

Adrien Coulier, Prashant Singh, Marc Sturrock, Andreas Hellander

Summary: Quantitative stochastic models of gene regulatory networks are important tools for studying cellular regulation. Determining model fidelity is a practical challenge, as it affects the accuracy and computation cost of the results. Inference of true model parameters is often approximate and requires difficult choices, such as summary statistics selection and data quantity.

PLOS COMPUTATIONAL BIOLOGY (2022)

Article Biology

Stochastic differential equation modelling of cancer cell migration and tissue invasion

Dimitrios Katsaounis, Mark A. J. Chaplain, Nikolaos Sfakianakis

Summary: This paper addresses the question of identifying the migratory pattern and spread of individual cancer cells or small clusters of cancer cells when the macroscopic evolution of the cancer cell colony is determined by a specific partial differential equation (PDE). The authors demonstrate that the traditional understanding of the diffusion and advection terms of the PDE as responsible for random and biased motion of solitary cancer cells, respectively, is imprecise. Instead, they show that the drift term of the correct stochastic differential equation scheme should also take into account the divergence of the PDE diffusion. Numerical experiments and computational simulations are used to support their claims.

JOURNAL OF MATHEMATICAL BIOLOGY (2023)

Article Mathematics, Applied

MODELING THE EMERGENCE OF PHENOTYPIC HETEROGENEITY IN VASCULARIZED TUMORS

Chiara Villa, Mark A. Chaplain, Tommaso Lorenzi

Summary: This study investigates the emergence of phenotypic heterogeneity in vascularized tumors through mathematical modeling and numerical simulations. The results provide a theoretical basis for the empirical evidence that the phenotypic properties of cancer cells in vascularized tumors vary with the distance from the blood vessels, and establish a relation between the degree of tumor tissue vascularization and the level of intratumor phenotypic heterogeneity.

SIAM JOURNAL ON APPLIED MATHEMATICS (2021)

Article Mathematics

Evolutionary Dynamics in Vascularised Tumours under Chemotherapy: Mathematical Modelling, Asymptotic Analysis and Numerical Simulations

Chiara Villa, Mark A. J. Chaplain, Tommaso Lorenzi

Summary: This study investigates the evolutionary dynamics of tumour cells in vascularised tumours under chemotherapy using a mathematical model and numerical simulations. Findings suggest that tumour cell phenotypic properties vary with distance from blood vessels, hypoxic regions may support intra-tumour phenotypic heterogeneity, and hypoxia may favor the selection for chemoresistant phenotypic variants prior to treatment.

VIETNAM JOURNAL OF MATHEMATICS (2021)

No Data Available