The MEtabolic MOdel research and development System (MEMOSys) is a versatile database for the management, storage and development of genome-scale models (GEMs). Since its initial release, the database has undergone major improvements, and the new version introduces several new features. First, the novel concept of derived models allows users to create model hierarchies that automatically propagate modifications along their order. Second, all stored components can now be easily enhanced with additional annotations that can be directly extracted from a supplied Systems Biology Markup Language (SBML) file. Third, the web application has been substantially revised and now features new query mechanisms, an easy search system for reactions and new link-out services to publicly available databases. Fourth, the updated database now contains 20 publicly available models, which can be easily exported into standardized formats for further analysis. Fifth, MEMOSys 2.0 is now also available as a fully configured virtual image and can be found online at http://www.icbi.at/memosys and http://memoys.i-med.ac.at. Database URL: http://memosys.i-med.ac.at.
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http://dx.doi.org/10.1093/database/bau004 | DOI Listing |
Biotechnol Bioeng
December 2024
Centre for Biotechnology and Bioengineering (CeBiB), Department of Chemical Engineering, Biotechnology and Materials, University of Chile, Santiago, Chile.
Production of specialized metabolites are restricted to the metabolic capabilities of the organisms. Genome-scale models (GEM)s are useful to study the whole metabolism and to find metabolic engineering targets to increase the yield of a target compound. In this work we use a modified model of Streptomyces coelicolor M145 to simulate the production of lagmysin A (LP4) and the novel lagmysin B (LP2) lasso peptide, in the heterologous host Streptomyces coelicolor M1152.
View Article and Find Full Text PDFCommun Biol
December 2024
Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Epithelial-to-mesenchymal transition (EMT) is a conserved cellular process critical for embryogenesis, wound healing, and cancer metastasis. During EMT, cells undergo large-scale metabolic reprogramming that supports multiple functional phenotypes including migration, invasion, survival, chemo-resistance and stemness. However, the extent of metabolic network rewiring during EMT is unclear.
View Article and Find Full Text PDFFront Immunol
December 2024
Department of Oncology, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Background: The heterogeneity of cancer makes it challenging to predict its response to immunotherapy, highlighting the need to find reliable biomarkers for assessment. The sophisticated role of cancer stemness in mediating resistance to immune checkpoint inhibitors (ICIs) is still inadequately comprehended.
Methods: Genome-scale CRISPR screening of RNA sequencing data from Project Achilles was utilized to pinpoint crucial genes unique to Ovarian Cancer (OV).
FEMS Microbiol Ecol
December 2024
University of Iceland, Department of Computer Science, School of Engineering and Natural Sciences, Dunhagi 5, 107 Reykjavik, Iceland.
The thermophilic bacterium Rhodothermus marinus has mainly been studied for its thermostable enzymes. More recently, the potential of using the species as a cell factory and in biorefinery platforms has been explored, due to the elevated growth temperature, native production of compounds such as carotenoids and EPSs, the ability to grow on a wide range of carbon sources including polysaccharides, and available genetic tools. A comprehensive understanding of the metabolism of cell factories is important.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Computer and Information Sciences, Covenant University, Ota, Ogun State, Nigeria.
Essential genes are those whose presence is vital for a cell's survival and growth. Detecting these genes in disease-causing organisms is critical for various biological studies, including understanding microbe metabolism, engineering genetically modified microorganisms, and identifying targets for treatment. When essential genes are expressed, they give rise to essential proteins.
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