Feces metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1056815 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Colorectal cancer (CRC) is closely related to gut dysbiosis. We investigated the effects of imbalanced gut microbiota on the progression of intestinal adenoma in Apcmin/+ mice model using fecal microbiota transplantation (FMT). Administration of feces from CRC patients increased tumor proliferation and decreased apoptosis in tumor cells. Abnormal expression of genes related to Wnt-protein binding and lipid metabolic process was observed.
2019-09-16 | GSE136682 | GEO
Project description:To characterize the effect of microbiota on global gene expression in the distal small intestine during postnatal gut development we employed mouse models with experimental colonization by intestinal microbiota. Using microarray analysis to assess global gene expression in ileal mucosa at the critical stage of intestinal development /maturation associated with weaning, and asking how expression is affected by microbial colonization In the study presented here, preweaned and postweaned GF, SPF mouse small intestinal total RNAs were used. Also, 3-week-old gnotobiotic mouse as well as GF mouse small intestinal RNAs were used.
2013-03-02 | E-GEOD-44788 | biostudies-arrayexpress
Project description:We analyzed the effects of antibiotics using a popular model of gut microbiota depletion in mice by a cocktail of antibiotics. We combined intestinal transcriptome together with metagenomic analysis of the gut microbiota to develop a new bioinformatics approach that probes the links between microbial components and host functions. We found that most antibiotic-induced alterations can be explained by three factors: depletion of the microbiota; direct effects of antibiotics on host tissues; and the effects of remaining antibiotic-resistant microbes. While microbe depletion led to down-regulation of immunity, the two other factors primarily inhibited mitochondrial gene expression and amounts of active mitochondria, and induced cell death. By reconstructing and analyzing a transkingdom network, we discovered that these toxic effects were mediated by virulence/quorum sensing in antibiotic-resistant bacteria. This series includes gene expression in the ileum of control, antibiotics (ABx)-treated, germfree, germfree-ABx-treated and mice colonized with normal or Abx-resistant microbiota. common reference design with a pool of small intestine RNA labeled with Cy3
2015-01-26 | E-GEOD-60566 | biostudies-arrayexpress
Project description:We analyzed the effects of antibiotics using a popular model of gut microbiota depletion in mice by a cocktail of antibiotics. We combined intestinal transcriptome together with metagenomic analysis of the gut microbiota to develop a new bioinformatics approach that probes the links between microbial components and host functions. We found that most antibiotic-induced alterations can be explained by three factors: depletion of the microbiota; direct effects of antibiotics on host tissues; and the effects of remaining antibiotic-resistant microbes. While microbe depletion led to down-regulation of immunity, the two other factors primarily inhibited mitochondrial gene expression and amounts of active mitochondria, and induced cell death. By reconstructing and analyzing a transkingdom network, we discovered that these toxic effects were mediated by virulence/quorum sensing in antibiotic-resistant bacteria. This series includes gene expression of the laser microdissected compartments of the ileum such as villous epithelium, lamina propria and crypts from specific pathogen free mice common reference design with a pool of small intestine RNA labeled with Cy3
2015-01-26 | E-GEOD-60567 | biostudies-arrayexpress
Project description:To characterize the effect of microbiota on global gene expression in the distal small intestine during postnatal gut development we employed mouse models with experimental colonization by intestinal microbiota. Using microarray analysis to assess global gene expression in ileal mucosa at the critical stage of intestinal development /maturation associated with weaning, and asking how expression is affected by microbial colonization
2013-03-02 | GSE44788 | GEO
Project description:We established an experimental mouse model of HE using thioacetamide (TAA) and examined the alterations in the gut microbiome.
2023-04-19 | GSE228827 | GEO
Project description:Here we asked whether the single early-life (pup day of life P5-P10) antibiotic pulse was sufficient to enhance Type-1 Diabetes (T1D) in Non Obese Diabetic (NOD) mice. Two sets of experimental samples were analyzed for changes in intestinal pathway expression using the NOD mouse model and Pulsed Antibiotic Therapy (PAT). NODPAT sought to describe the intestinal changes related to early life PAT treatment while the RESTORE experiment sought to restore an antibiotic-perturbed host and measure the intestinal expression changes over time. We provide evidence that maternal microbiota provides partial restoration of both the altered pup microbiota and its immunological phenotypes.
2018-08-19 | E-MTAB-6826 | biostudies-arrayexpress
Project description:We analyzed the effects of antibiotics using a popular model of gut microbiota depletion in mice by a cocktail of antibiotics. We combined intestinal transcriptome together with metagenomic analysis of the gut microbiota to develop a new bioinformatics approach that probes the links between microbial components and host functions. We found that most antibiotic-induced alterations can be explained by three factors: depletion of the microbiota; direct effects of antibiotics on host tissues; and the effects of remaining antibiotic-resistant microbes. While microbe depletion led to down-regulation of immunity, the two other factors primarily inhibited mitochondrial gene expression and amounts of active mitochondria, and induced cell death. By reconstructing and analyzing a transkingdom network, we discovered that these toxic effects were mediated by virulence/quorum sensing in antibiotic-resistant bacteria. This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2015-01-26 | E-GEOD-60568 | biostudies-arrayexpress
Project description:Early-life antibiotic exposure perturbs the intestinal microbiota, alters innate intestinal immunity, and accelerates type 1 diabetes development in the NOD mouse model. Here we found that maternal cecal microbiota transfer (CMT) to NOD mice with early-life antibiotic perturbation partially rescued the induced T1D acceleration. The restoration effects on the intestinal microbiome were substantial and persistent, remediating the antibiotic-depleted diversity, relative abundance of particular taxa, and metabolic pathways. CMT also protected against perturbed cecal and serum metabolites and normalized innate and adaptive immune effectors. CMT restored patterns of ileal microRNA and histone regulation of gene expression and exon-splicing. Based on the analyses of experimental data, we propose an innate intestinal immune network involving CD44, TLR2, and Reg3g, as well as their multiple microRNA and epigenetic regulators that sense intestinal signaling by the gut microbiota. This regulation affects downstream immunological tone, leading to protection against the tissue-specific T1D injury.
2021-09-02 | E-MTAB-9982 | biostudies-arrayexpress
Project description:In the DSS-induced colitis model, the epithelial damage and resulting inflammation is restricted to the colon, with a potential influence on the microbial composition in the adjacent cecum. Several studies have reported changes of the gut microbiota in the DSS-induced colitis model and other mouse models of IBD. Furthermore, metaproteomics analysis of the gut microbiome in a mouse model of Crohn’s disease demonstrated that disease severity and location are microbiota-dependent, with clear evidence for the causal role of bacterial dysbiosis in the development of chronic ileal inflammation. We have developed a refined model of chronic DSS-induced colitis that reflects typical symptoms of human IBD without a risky body weight loss usually observed in DSS models [Hoffmann et al., submitted]. In this study, we used metaproteomics to characterize the disease-related changes in bacterial protein abundance and function in the refined model of DSS-induced colitis. To assess the structural and functional changes, we applied 16S rRNA gene sequencing and metaproteomics analysis of the intestinal microbiota in three different entities of the intestinal environment, i.e. colon mucus, colon content and cecum content.
2020-03-17 | PXD007220 | Pride