Multiscale Multiobjective Systems Analysis (MiMoSA): an advanced metabolic modeling framework for complex systems Journal Article uri icon

Overview

abstract

  • AbstractIn natural environments, cells live in complex communities and experience a high degree of heterogeneity internally and in the environment. Even in ‘ideal’ laboratory environments, cells can experience a high degree of heterogeneity in their environments. Unfortunately, most of the metabolic modeling approaches that are currently used assume ideal conditions and that each cell is identical, limiting their application to pure cultures in well-mixed vessels. Here we describe our development of Multiscale Multiobjective Systems Analysis (MiMoSA), a metabolic modeling approach that can track individual cells in both space and time, track the diffusion of nutrients and light and the interaction of cells with each other and the environment. As a proof-of concept study, we used MiMoSA to model the growth of Trichodesmium erythraeum, a filamentous diazotrophic cyanobacterium which has cells with two distinct metabolic modes. The use of MiMoSA significantly improves our ability to predictively model metabolic changes and phenotype in more complex cell cultures.

publication date

  • December 1, 2019

Date in CU Experts

  • January 30, 2020 12:58 PM

Full Author List

  • Gardner JJ; Hodge B-MS; Boyle NR

author count

  • 3

Other Profiles

Electronic International Standard Serial Number (EISSN)

  • 2045-2322

Additional Document Info

volume

  • 9

issue

  • 1

number

  • 16948