Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11470158_1.fastq.gz | Fastqsanger.gz | |||
| SRR11470158_2.fastq.gz | Fastqsanger.gz | |||
| SRR11470159_1.fastq.gz | Fastqsanger.gz | |||
| SRR11470159_2.fastq.gz | Fastqsanger.gz | |||
| SRR11470160_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:The effects of increasing addition of green tea in dietary changes the bacterial populations in broiler ileum were evaluated. Four hundreds of AA broilers were randomly assigned to four groups with green tea addition of 0, 0.5, 1 and 2 percent in the diet. The body weight showed no difference but a digital increase positively correlated with addition of green tea. The content of green tea had a linear effect of lengthening the ileum villi. The barcoded DNA pyrosequencing method was used to reveal 15 phyla, 1157phylotypes and 3098 16S operational taxonomic units (OTUs). The most predominant bacterial phyla were Firmicutes (56.89%), Actinobacteria (30.58%), Proteobacteria (8.61%) and Bacteroidetes (2.72%). As the proportion of additional green tea increased, the abundance of phylum Actinobacteria (p=0.003) and Proteobacteria (p=0.049) almost linearly increased, while the proportion of Firmicutes (p=0.027) linearly decreased. Only 2 OTUs were significantly affected by the increased additive, Corynebacteriaceae (p=0.011) and Staphylococcaceae (p= 0.006). Triplot analysis suggested that the dominant phyla of Verrucomicrobia, TM7 and Actinobacteria were clearly related to the addition of green tea. Moreover, green tea addition influenced the construction of microbiota, and lengthened the villus in ileum by Monte Carlo permutation test. These findings provide a new understanding of the ileal microbial ecology, which may be useful in modulating the gut microbiome, and also the proper usage of powdered green tea.
2015-09-29 | GSE73516 | GEO
Project description:BACKGROUND: Evaluation of the airway transcriptome may reveal patterns of gene expression that are associated with clinical phenotypes of asthma. To define transcriptomic endotypes of asthma (TEA) we analyzed gene expression in induced sputum that correlate with phenotypes of disease. METHODS: Gene expression was measured in sputum of subjects with asthma using Affymetrix HuGene ST 1.0 microarrays. Unsupervised clustering analysis of genes in pathways selected from the Kyoto Encyclopedia of Genes and Genomes (KEGG) identified TEA clusters. Clinical characteristics were compared and logistic regression analysis of matched blood samples defined an expression profile to determine the TEA cluster assignment in a cohort of children with asthma for validation. RESULTS: Three TEA clusters were identified. TEA cluster 1 had the most subjects with a history of intubation (P = 0.05), a lower pre-bronchodilator FEV1 (P = 0.006), a higher bronchodilator response (P = 0.03), and higher exhaled nitric oxide levels (P = 0.04), compared to the other TEA clusters. TEA cluster 2, the smallest cluster had the most subjects that were hospitalized for asthma (P = 0.04). Subjects in TEA cluster 3, the largest cluster, had normal lung function, low exhaled nitric oxide levels, and lower inhaled steroid requirements. Evaluation of TEA clusters in children confirmed that TEA clusters 1 and 2 are associated with a history of intubation (P = 5.58 x 10-06) and hospitalization (P = 0.01), respectively. CONCLUSIONS: Patterns of gene expression in the sputum and blood reveal TEA clusters that are associated with severe asthma phenotypes in children and adults. Gene expression was measured in sputum of subjects with asthma using Affymetrix HuGene ST 1.0 microarrays. Unsupervised clustering analysis of genes in pathways selected from the Kyoto Encyclopedia of Genes and Genomes (KEGG) identified TEA clusters. Clinical characteristics were compared and logistic regression analysis of matched blood samples defined an expression profile to determine the TEA cluster assignment in a cohort of children with asthma for validation.
2014-04-07 | E-GEOD-56396 | biostudies-arrayexpress
Project description:We explore whether a low-energy diet intervention for Metabolic dysfunction-associated steatohepatitis (MASH) improves liver disease by means of modulating the gut microbiome. 16 individuals were given a low-energy diet (880 kcal, consisting of bars, soups, and shakes) for 12 weeks, followed by a stepped re-introduction to whole for an additional 12 weeks. Stool samples were obtained at 0, 12, and 24 weeks for microbiome analysis. Fecal microbiome were measured using 16S rRNA gene sequencing. Positive control (Zymo DNA standard D6305) and negative control (PBS extraction) were included in the sequencing. We found that low-energy diet improved MASH disease without lasting alterations to the gut microbiome.
2024-12-31 | E-MTAB-14061 | biostudies-arrayexpress
Project description:For developing the more SNPs and new high-density genetic linkage map of tea plant, two parents and their 326 progenies and 147 registered tea cultivars was sequencing by newly developed Affymetrix Axiom genotyping technology
2022-03-09 | GSE182082 | GEO