Ontology highlight
ABSTRACT:
PROVIDER: PRJNA630063 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11671875.fastq.gz | Fastqsanger.gz | |||
| SRR11671876.fastq.gz | Fastqsanger.gz | |||
| SRR11671877.fastq.gz | Fastqsanger.gz | |||
| SRR11671878.fastq.gz | Fastqsanger.gz | |||
| SRR11671879.fastq.gz | Fastqsanger.gz |
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Project description:Characterization of the Mangalica Pig Intestinal Microbiome
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Project description:To investigate the intestinal ileum response to dietary tryptophan deficiency and the contribution of the intestinal microbiome in regulating these responses
2023-02-21 | GSE222818 | GEO
Project description:On going efforts are directed at understanding the mutualism between the gut microbiota and the host in breast-fed versus formula-fed infants. Due to the lack of tissue biopsies, no investigators have performed a global transcriptional (gene expression) analysis of the developing human intestine in healthy infants. As a result, the crosstalk between the microbiome and the host transcriptome in the developing mucosal-commensal environment has not been determined. In this study, we examined the host intestinal mRNA gene expression and microbial DNA profiles in full term 3 month-old infants exclusively formula fed (FF) (n=6) or breast fed (BF) (n=6) from birth to 3 months. Host mRNA microarray measurements were performed using isolated intact sloughed epithelial cells in stool samples collected at 3 months. Microbial composition from the same stool samples was assessed by metagenomic pyrosequencing. Both the host mRNA expression and bacterial microbiome phylogenetic profiles provided strong feature sets that clearly classified the two groups of babies (FF and BF). To determine the relationship between host epithelial cell gene expression and the bacterial colony profiles, the host transcriptome and functionally profiled microbiome data were analyzed in a multivariate manner. From a functional perspective, analysis of the gut microbiota's metagenome revealed that characteristics associated with virulence differed between the FF and BF babies. Using canonical correlation analysis, evidence of multivariate structure relating eleven host immunity / mucosal defense-related genes and microbiome virulence characteristics was observed. These results, for the first time, provide insight into the integrated responses of the host and microbiome to dietary substrates in the early neonatal period. Our data suggest that systems biology and computational modeling approaches that integrate “-omic” information from the host and the microbiome can identify important mechanistic pathways of intestinal development affecting the gut microbiome in the first few months of life. KEYWORDS: infant, breast-feeding, infant formula, exfoliated cells, transcriptome, metagenome, multivariate analysis, canonical correlation analysis 12 samples, 2 groups
2012-03-19 | E-GEOD-31075 | biostudies-arrayexpress
Project description:A human gut-on-a-chip microdevice was used to coculture multiple commensal microbes in contact with living human intestinal epithelial cells for more than a week in vitro and to analyze how gut microbiome, inflammatory cells, and peristalsis-associated mechanical deformations independently contribute to intestinal bacterial overgrowth and inflammation. This in vitro model replicated results from past animal and human studies, including demonstration that probiotic and antibiotic therapies can suppress villus injury induced by pathogenic bacteria. By ceasing peristalsis-like motions while maintaining luminal flow, lack of epithelial deformation was shown to trigger bacterial overgrowth similar to that observed in patients with ileus and inflammatory bowel disease. Analysis of intestinal inflammation on-chip revealed that immune cells and lipopolysaccharide endotoxin together stimulate epithelial cells to produce four proinflammatory cytokines (IL-8, IL-6, IL-1β, and TNF-α) that are necessary and sufficient to induce villus injury and compromise intestinal barrier function. Thus, this human gut-on-a-chip can be used to analyze contributions of microbiome to intestinal pathophysiology and dissect disease mechanisms in a controlled manner that is not possible using existing in vitro systems or animal models. 6 samples, 2 biological replicates for each 3 conditions.
2015-12-16 | E-GEOD-65790 | biostudies-arrayexpress
Project description:The early interaction of Salmonella enterica serovar typhimurium DT104 with intact small intestinal mucosa was studied in a Small Intestinal Segment Perfusion (SISP) model. Intestinal segments were infected with or without Salmonella. Scrapings from jejunal segments were collected after perfusion for 0, 2, 4, or 8 hours. Details of the SISP experiment are described in: Niewold TA, Veldhuizen EJ, van der Meulen J, Haagsman HP, de Wit AA, Smits MA, Tersteeg MH, Hulst MM. Using the Operon 13K pig oligonucleotide array differences in host gene expression were recorded between infected and uninfected segments within a single pig (isogenic comparisons), and between identical treated segments collected from 3 individual SISP pigs, all responding markedly different to infection with Salmonella (inter-animal comparisons). A Small Intestinal Segment Perfusion (SISP) test was performed with 3 pigs (pig no. 2, 3, and 4) (cross-bred YorkshireM-CM-^W(Large WhiteM-CM-^WLandrace)). Two adjacent segments prepared in the mid-jejunum of each pig were perfused for 1 hour with Salmonella enterica serovar typhimurium DT104 suspended in peptone solution (10E-09 CFU/ml) or with peptone solution alone (mock infected segment) respectively. Subsequently, segments were perfused with peptone solution alone for a maximum period of 8 hours. At 2, 4, and 8 hours a part of the infected segment was dissected to obtain mucosal scrappings. The same was done at 0 and 8 hours for the uninfected (mock) control segment. RNA isolated from scrappings was used for microarray comparisons using the Operon 13K pig oligonucleotide array. 9 comparisons were done. For each of the 3 SISP pigs, expression in the 8 hours perfused infected segment, perfused for 8 hours, was compared to expression in its adjacent mock infected segment (3 isogenic comparisons, 8 hpi.). Expression in the infected segment of each SISP pig, dissected after 2 or 4 hours of perfusion, was compared to expression in an infected segment dissected from another SISP pig (2 versus 3, 2 versus 4, and 3 versus 4 / 3 comparisons at 2 hpi., and 3 comparisons at 4 hpi.). Dye-swaps were performed for each comparison. jejunum pig, host-microbe interaction, Salmonella enterica serovar typhimurium DT104.
2013-04-17 | E-GEOD-41630 | biostudies-arrayexpress
Project description:Objectives: Obstructive Sleep Apnea (OSA) is related to repeated upper airway collapse, intermittent hypoxia, and intestinal barrier dysfunction. The resulting damage to the intestinal barrier may affect or be affected by the intestinal microbiota. Methods: A prospective case-control was used, including 48 subjects from Sleep Medicine Center of Nanfang Hospital. Sleep apnea was diagnosed by overnight polysomnography. Fecal samples and blood samples were collected from subjects to detect intestinal microbiome composition (by 16S rDNA gene amplification and sequencing) and intestinal barrier biomarkers – intestinal fatty acid-binding protein (I-FABP) and D-lactic acid (D-LA) (by ELISA and colorimetry, respectively). Results: The severity of OSA was related to differences in the structure and composition of the intestinal microbiome. Enriched Fusobacterium, Megamonasa, Lachnospiraceae_UCG_006, and reduced Anaerostipes was found in patients with severe OSA. Enriched Ruminococcus_2, Lachnoclostridium, Lachnospiraceae_UCG_006, and Alloprevotella was found in patients with high intestinal barrier biomarkers. Lachnoclostridium and Lachnospiraceae_UCG_006 were the common dominant bacteria of OSA and intestinal barrier damage. Fusobacterium and Peptoclostridium was independently associated with apnea-hypopnea index (AHI). The dominant genera of severe OSA were also related to glucose, lipid, neutrophils, monocytes and BMI. Network analysis identified links between the intestinal microbiome, intestinal barrier biomarkers, and AHI. Conclusions: The study confirms that changes in the intestinal microbiota are related to intestinal barrier biomarkers among patients in OSA. These changes may play a pathophysiological role in the systemic inflammation and metabolic comorbidities associated with OSA, leading to multi-organ morbidity of OSA.
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Project description:IL-17 and IL-17R signaling in the intestinal epithelium regulate the intestinal microbiome. Given the reported links between intestinal dysbiosis, bacterial translocation, and liver disease, we hypothesized that intestinal IL-17R signaling plays a critical role in mitigating hepatic inflammation. To test this, we studied intestinal epithelial-specific IL-17RA deficient mice in a model of concanavalin A hepatitis. Absence of enteric IL-17RA signaling exacerbated hepatitis and hepatocyte cell death. These mice exhibited commensal dysbiosis, increased intestinal and liver Il18, and increased liver translocation of bacterial products, specifically CpG DNA. Mechanistically, CpG DNA induced hepatic IL-18, increasing IFNγ and FasL in hepatic T-cells to drive inflammation. Thus, intestinal IL-17R regulates translocation of TLR9 ligands and constrains susceptibility to hepatitis. These data connect enteric Th17 signaling and the microbiome in hepatitis, with broader implications on the effects of impaired intestinal immunity and subsequent release of microbial products seen in other extra-intestinal pathologies.
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