Tomás Alarcón

Emergence of travelling wave patterns in resource-mediated tissue competition

This paper studies resource-mediated tissue competition using mathematical models and simulations, showing the emergence of travelling wave patterns that depend on population fitness and resource dynamics.

Asymmetric drug effects drive near-extinction cancer cell oscillations in transgenic oncolytic virotherapy: A modelling study

This paper models oncolytic virotherapy with and without a prodrug-activating transgene, showing that asymmetric drug effects can drive oscillations in cancer cell populations.

Multiscale modelling shows how cell-ECM interactions impact ECM fibre alignment and cell detachment

This paper develops a multiscale model to study how cell-ECM interactions affect ECM fibre alignment and cell detachment through mechanical cues.

Dynamical analysis of a model of BCL-2-dependent cellular decision making

This study uses mathematical modeling to show that BCL-2 network architecture enables tristability in cell-fate decisions, with stochastic fluctuations driving heterogeneous outcomes.

An experimentally tractable framework for quantitative and integrative analysis of aggregation in the origin of animals

The paper uses transcriptomic and mathematical modeling to study aggregation in Capsaspora owczarzaki, revealing dynamic gene expression and a nonlinear adhesion response that explains aggregate formation and disassembly.

Metabolic early warning signals of epigenetic tipping points under chromatin modifier competition

This paper develops a mathematical framework to predict epigenetic tipping points under chromatin modifier competition by analyzing metabolic cofactor sensitivity and early warning signals.

Local Nearby Bifurcations Lead to Synergies in Critical Slowing Down: the Case of Mushroom Bifurcations

The paper studies transient dynamics near multiple bifurcations in gene regulatory networks, showing synergistic effects and noise-driven control of transition timing.

Bivalent chromatin as a therapeutic target in cancer: An in silico predictive approach for combining epigenetic drugs

This paper develops a computational model to predict effective combinations of epigenetic drugs for cancer treatment by analyzing bivalent chromatin states and their impact on cell heterogeneity.

A multiscale model of complex endothelial cell dynamics in early angiogenesis

This paper introduces a multiscale model of angiogenesis that reproduces vascular network features through cell rearrangements and uses a mixing measure to quantify cell mixing as a potential biomarker for pathological angiogenesis.

A multiscale model of epigenetic heterogeneity reveals the kinetic routes of pathological cell fate reprogramming

This paper introduces a multiscale model of epigenetic heterogeneity to study the kinetic routes of pathological cell fate reprogramming and identifies strategies to control the transition between pluripotent and differentiated states.

Viral replication modes in single-peak fitness landscapes: a dynamical systems analysis

The paper analyzes viral replication modes using a dynamical systems approach to determine critical mutation rates for lethal mutagenesis and error catastrophe in different replication strategies.

Noise-induced bistability in the quasineutral coexistence of viral RNA under different replication modes

The paper studies noise-induced bistability in viral RNA replication modes using stochastic simulations and diffusion approximation, showing noise significantly impacts amplification and leads to bistability.