Your browser doesn't support javascript.
loading
Discretised Flux Balance Analysis for Reaction-Diffusion Simulation of Single-Cell Metabolism.
Chew, Yin Hoon; Spill, Fabian.
Afiliación
  • Chew YH; School of Mathematics, University of Birmingham, Edgbaston, Birmingham, B15 2TT, England, UK. y.h.chew@bham.ac.uk.
  • Spill F; School of Mathematics, University of Birmingham, Edgbaston, Birmingham, B15 2TT, England, UK.
Bull Math Biol ; 86(4): 39, 2024 03 06.
Article en En | MEDLINE | ID: mdl-38448618
ABSTRACT
Metabolites have to diffuse within the sub-cellular compartments they occupy to specific locations where enzymes are, so reactions could occur. Conventional flux balance analysis (FBA), a method based on linear programming that is commonly used to model metabolism, implicitly assumes that all enzymatic reactions are not diffusion-limited though that may not always be the case. In this work, we have developed a spatial method that implements FBA on a grid-based system, to enable the exploration of diffusion effects on metabolism. Specifically, the method discretises a living cell into a two-dimensional grid, represents the metabolic reactions in each grid element as well as the diffusion of metabolites to and from neighbouring elements, and simulates the system as a single linear programming problem. We varied the number of rows and columns in the grid to simulate different cell shapes, and the method was able to capture diffusion effects at different shapes. We then used the method to simulate heterogeneous enzyme distribution, which suggested a theoretical effect on variability at the population level. We propose the use of this method, and its future extensions, to explore how spatiotemporal organisation of sub-cellular compartments and the molecules within could affect cell behaviour.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Conceptos Matemáticos / Modelos Biológicos Idioma: En Revista: Bull Math Biol Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Conceptos Matemáticos / Modelos Biológicos Idioma: En Revista: Bull Math Biol Año: 2024 Tipo del documento: Article