Ena-DATASET-KULVIB-04-03-2016-10:53:34:991-129 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001001936 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:16S sequencing data from 2259 Flemish Gut Flora Project (FGFP) samples
| EGAD00001006141 | EGA
Project description:16S sequencing data (dual-index) from 1054 Flemish Gut Flora Project (FGFP) samples
| EGAD00001004449 | EGA
Project description:FGFP (Flemish Gut Flora Project, N=100) and TR-MDD (Treatment-Resistant Major Depression Disorder, N=7) shotgun sequencing samples
| EGAD00001004454 | EGA
Project description:Here, we studied well-phenotyped individuals from the Flemish Gut Flora Project (FGFP, N=1,106, Belgium) and the effect of environments on microbiome. The 69 major significant phenotypes found in this study are provided.
| EGAD00001001943 | EGA
Project description:"Here, we studied well-phenotyped individuals from the Flemish Gut Flora Project (FGFP, N=1,106, Belgium) and the effect of environments on microbiome."
| EGAS00001001689 | EGA
Project description:Herein, we evaluated the regulation of plantaricin NC8 on gut microbiota by in vitro simulation system, and assessed their modulation on different intestinal types, namely enterotype 1 (ET B) and enterotype 2 (ET P), for the first time. Plantaricin NC8 could not significantly promote or inhibit the production short chain fatty acids (SCFAs) by the gut flora in the fecal samples from eight subjects to produce through Gas chromatography (GC) determining, neither ET B nor ET P. 16S rDNA sequencing showed that plantaricin NC8 shortened the Shannon index of ET B and the Simpson index of ET P, but their β diversity change was not statistically significant. In addition, plantaricin NC8 could promote the growth of beneficial bacteria. Results showed that plantaricin NC8 mainly increased the abundance of Actinobacterias, Bacteroides, Bifidobacterium, Megamonas, Escherichia-Shigella, and decreased the abundance of Streptococcus in ET B. And it also increased the abundance of Prevotella_9, Bifidobacterium, Escherichia-Shigella, Mitsuokella and others in ET P. Plantaricin NC8 can influence intestinal microorganisms, but the influence were different for different enterotypes.
2022-03-30 | GSE199735 | GEO
Project description:Ulcerative colitis (UC), belonging to inflammatory bowel disease (IBD), is a chronic and relapsing inflammatory disorders of the gastrointestinal tract, which is not completely cured so far. Valeriana jatamansi is a Chinese medicine used clinically to treat "diarrhea", which is closely related to UC. This study was to elucidate the therapeutic effects of V. jatamansi extract (VJE) on dextran sodium sulfate (DSS)-induced UC in mice and its underlying mechanism. In this work, VJE effectively ameliorate the symptoms, histopathological scores and reduce the production of inflammatory factors of UC mice. The colon untargeted metabolomics analysis and 16S rDNA sequencing showed remarkable differences in colon metabolite profiles and intestinal microbiome composition between the control and DSS groups, and VJE intervention can reduce these differences. Thirty-two biomarkers were found and modulated the primary pathways including pyrimidine metabolism, arginine biosynthesis and glutathione metabolism. Meanwhile, twelve significant taxa of gut microbiota were found. Moreover, there is a close relationship between endogenous metabolites and intestinal flora. These findings suggested that VJE ameliorates UC by inhibiting inflammatory factors, recovering intestinal maladjustment, and regulating the interaction between intestinal microbiota and host metabolites. Therefore, the intervention of V. jatamansi is a potential therapeutic treatment for UC.
2023-07-24 | PXD043047 | Pride
Project description:We used phylogenetic low-density microarrays targeting the 16S rRNA gene to characterize the gingival flora of acute noma and acute necrotizing gingivitis lesions, and compared them to healthy control subjects of the same geographical and social background. Various types of samples were collected (column characteristics); patients from the same hospital without mouth infection (H), matched control populations (T), patients suffering gengivitis (Gengivitis), patient suffering NOMA (noma), patient suffering NOMA receiving antimicrobials (N-ATB). Sampled from patients were retrieved from both sides (column Description); healthy- or lesion-side of the mouth. All controls are matched with specific patients (see column patient category and number) We designed low-density 16S rDNA arrays representing 339 different phylotypes. We used an arbitrary cutoff of 1% of overall abundance to select from this dataset the most abundant sequences for probe design. Using this cutoff, the 132 most abundant 16S rRNA gene sequences were scanned for probes respecting defined physico-chemical properties (Tm = 65M-BM-15M-BM-0C; probe length = 23M-bM-^@M-^S50 nt; < -5.0 kcal/mol for hairpins; < -8.0 kcal/mol for self-dimers; and dinucleotide repeats shorter than 5 bp) using a commercial software (Array Designer TM 2.0 by Premier Biosoft). The 335 oligonucleotide probes were synthesized with a C6-linker with free primary amine (Sigma-Aldrich) and spotted on ArrayStrips microarrays (Clondiag GmbH, Jena, Germany).
2013-12-27 | E-GEOD-43612 | biostudies-arrayexpress
Project description:Variation and transmission of the human gut microbiota across generations - 16S sequencing data
| EGAD00001008195 | EGA
Project description:We compared the microbiota of paired mouse caecal contents and faeces by applying a multi-omic approach, including 16S rDNA sequencing, shotgun metagenomics, and shotgun metaproteomics. The aim of the study was to verify whether faecal samples are a reliable proxy for the mouse colonic luminal microbiota, as well as to identify changes in taxonomy and functional activity between caecal and faecal microbial communities, which have to be carefully considered when using stool as sample for mouse gut microbiota investigations.
2017-03-31 | PXD004911 | Pride