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Multiscale Multiobjective Systems Analysis (MiMoSA): an advanced metabolic modeling framework for complex systems.
Gardner, Joseph J; Hodge, Bri-Mathias S; Boyle, Nanette R.
Afiliação
  • Gardner JJ; Chemical & Biological Engineering, Colorado School of Mines, 1613 Illinois St., Golden, CO, 80403, USA.
  • Hodge BS; Chemical & Biological Engineering, Colorado School of Mines, 1613 Illinois St., Golden, CO, 80403, USA.
  • Boyle NR; National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO, 80401, USA.
Sci Rep ; 9(1): 16948, 2019 11 18.
Article em En | MEDLINE | ID: mdl-31740694
ABSTRACT
In 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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Trichodesmium / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Trichodesmium / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos