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StressME: Unified computing framework of Escherichia coli metabolism, gene expression, and stress responses.
Zhao, Jiao; Chen, Ke; Palsson, Bernhard O; Yang, Laurence.
Afiliação
  • Zhao J; Department of Chemical Engineering, Queen's University, Kingston, Ontario, Canada.
  • Chen K; Department of Bioengineering, University of California, San Diego, La Jolla, California, United States of America.
  • Palsson BO; Department of Bioengineering, University of California, San Diego, La Jolla, California, United States of America.
  • Yang L; Department of Chemical Engineering, Queen's University, Kingston, Ontario, Canada.
PLoS Comput Biol ; 20(2): e1011865, 2024 Feb.
Article em En | MEDLINE | ID: mdl-38346086
ABSTRACT
Generalist microbes have adapted to a multitude of environmental stresses through their integrated stress response system. Individual stress responses have been quantified by E. coli metabolism and expression (ME) models under thermal, oxidative and acid stress, respectively. However, the systematic quantification of cross-stress & cross-talk among these stress responses remains lacking. Here, we present StressME the unified stress response model of E. coli combining thermal (FoldME), oxidative (OxidizeME) and acid (AcidifyME) stress responses. StressME is the most up to date ME model for E. coli and it reproduces all published single-stress ME models. Additionally, it includes refined rate constants to improve prediction accuracy for wild-type and stress-evolved strains. StressME revealed certain optimal proteome allocation strategies associated with cross-stress and cross-talk responses. These stress-optimal proteomes were shaped by trade-offs between protective vs. metabolic enzymes; cytoplasmic vs. periplasmic chaperones; and expression of stress-specific proteins. As StressME is tuned to compute metabolic and gene expression responses under mild acid, oxidative, and thermal stresses, it is useful for engineering and health applications. The modular design of our open-source package also facilitates model expansion (e.g., to new stress mechanisms) by the computational biology community.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas de Escherichia coli / Escherichia coli Tipo de estudo: Prognostic_studies Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas de Escherichia coli / Escherichia coli Tipo de estudo: Prognostic_studies Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá