Ontology highlight
ABSTRACT:
PROVIDER: PRJNA636128 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Proteomic comparison study between the female and male tendon
2022-01-14 | E-PROT-74 | ExpressionAtlas
Project description:Comparison of transcriptomes between N-stress tolerant and sensitive genotypes
2015-08-26 | E-GEOD-54705 | ExpressionAtlas
Project description:Whole genome expression data comparison between WT and Cebpg-/- MEFs.
2015-07-17 | E-GEOD-47777 | ExpressionAtlas
Project description:Comparison of transcriptome profile between wild-type and dao mutant plants
2015-12-04 | E-GEOD-41097 | ExpressionAtlas
Project description:Comparison of transcriptome profile between wild-type and Epi-df mutant plants
2015-12-01 | E-GEOD-39298 | ExpressionAtlas
Project description:Escherichia coli Nissle 1917 (EcN) is an intestinal probiotic that is effective for the treatment of intestinal disorders, such as inflammatory bowel disease and ulcerative colitis. EcN is a representative Gram-negative probiotic in biomedical research and is an intensively studied probiotic. However, to date, its genome-wide metabolic network model has not been developed. Here, we developed a comprehensive and highly curated EcN metabolic model, referred to as iDK1463, based on genome comparison and phenome analysis. The model was improved and validated by comparing the simulation results with experimental results from phenotype microarray tests. iDK1463 comprises 1463 genes, 1313 unique metabolites, and 2984 metabolic reactions. Phenome data of EcN were compared with those of Escherichia coli intestinal commensal K-12 MG1655. iDK1463 was simulated to identify the genetic determinants responsible for the observed phenotypic differences between EcN and K-12. Further, the model was simulated for gene essentiality analysis and utilization of nutrient sources under anaerobic growth conditions. These analyses provided insights into the metabolic mechanisms by which EcN colonizes and persists in the gut. iDK1463 will contribute to the system-level understanding of the functional capacity of gut microbes and their interactions with microbiota and human hosts, as well as the development of live microbial therapeutics.
2024-10-15 | BIOMD0000001062 | BioModels