Human gut metagenome
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ABSTRACT:
PROVIDER: PRJNA294995 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:An improved methodology to overcome key issues associated with the methods of human fecal metagenomic DNA extraction
| PRJNA295000 | ENA
Project description:We recruited 24 Mongolian volunteers,6 of which were T2D cases(sample T1-T6), 6 were prediabetes cases(sample P1-P6), and 12 were health cases(sample C1-C12). The metagenomic analysis of gut microbiota from the volunteers’ fecal samples was performed. We compared the microbial differences in the three groups, and analyzed the differences of the stool microbial function.
2022-07-30 | E-MTAB-11957 | biostudies-arrayexpress
Project description:This study aims to understand the systemic component of psoriasis pathogenesis since psoriasis patients have higher risk of developing diesases beyond skin inflammation. In this study, we collected sigmoidal gut biopsies to profile host transcriptomic changes associated with psoriasis patients and healthy subjects. This exepriment provided transcriptomic dataset of host response and is integrated with fecal metagenomic data and flow cytometry dataset as part of the multi-omic study.
2020-06-30 | GSE150851 | GEO
Project description:Distal gut bacteria play a pivotal role in the digestion of dietary polysaccharides by producing a large number of carbohydrate-active enzymes (CAZymes) that the host otherwise does not produce. We report here the design of a high density custom microarray that we used to spot non-redundant DNA probes for more than 6,500 genes encoding glycoside hydrolases and lyases selected from 174 reference genomes from distal gut bacteria. The custom microarray was tested and validated by the hybridization of bacterial DNA extracted from the stool samples of lean, obese and anorexic individuals. Our results suggest that a microarray-based study can detect genes from low-abundance bacteria better than metagenomic-based studies. A striking example was the finding that a gene encoding a GH6-family cellulase was present in all subjects examined, whereas metagenomic studies have consistently failed to detect this gene in both human and animal gut microbiomes. In addition, an examination of eight stool samples allowed the identification of a corresponding CAZome core containing 46 families of glycoside hydrolases and polysaccharide lyases, which suggests the functional stability of the gut microbiota despite large taxonomical variations between individuals. Fecal samples were collected from eight female subjects. Three were obese subjects of BMI kg m-2: 35, 46.8 and 51.3, respectively; age: 42, 21 and 65 years old, respectively. Three were anorexic women of BMI kg m-2: 9.8, 10 and 13.7, respectively; age: 19, 23 and 49 years old, respectively. Finally, two fecal samples from lean women of BMI kg m-2: 18.6 and 23.42 were analyzed.
2013-10-28 | E-GEOD-51760 | biostudies-arrayexpress
Project description:<p><strong>INTRODUCTION:</strong> Mass spectrometry based metabolomics has become a promising complement and alternative to transcriptomics and proteomics in many fields including in vitro systems pharmacology. Despite several merits, metabolomics based on liquid chromatography mass spectrometry (LC-MS) is a developing area that is yet attached to several pitfalls and challenges. To reach a level of high reliability and robustness, these issues need to be tackled by implementation of refined experimental and computational protocols.</p><p><strong>OBJECTIVES:</strong> This study illustrates some key pitfalls in LC-MS based metabolomics and introduces an automated computational procedure to compensate for them.</p><p><strong>METHODS:</strong> Non-cancerous mammary gland derived cells were exposed to 21 chemicals from four pharmacological classes plus a set of 6 pesticides. Changes in the metabolome of cell lysates were assessed after 24h using LC-MS. A data processing pipeline was established and evaluated to handle issues including contaminants, carry over effects, intensity decay and inherent methodology variability and biases. A key component in this pipeline is a latent variable method called OOS-DA (optimal orthonormal system for discriminant analysis), being theoretically more easily motivated than PLS-DA in this context, as it is rooted in pattern classification rather than regression modeling.</p><p><strong>RESULTS:</strong> The pipeline is shown to reduce experimental variability/biases and is used to confirm that LC-MS spectra hold drug class specific information.</p><p><strong>CONCLUSIONS:</strong> LC-MS based metabolomics is a promising methodology, but comes with pitfalls and challenges. Key difficulties can be largely overcome by means of a computational procedure of the kind introduced and demonstrated here. The pipeline is freely available on www.github.com/stephanieherman/MS-data-processing.</p>
2017-08-23 | MTBLS401 | MetaboLights
Project description:Background: As a worldwide threat to mental health, depression affects about 322 million people globally. Recently, the role of gut microbiota dysbiosis on the pathogenesis of depression has received widespread attention, but the underlying mechanism remains elusive.Results: Corticosterone (CORT)-treated mice showed depressive-like behaviors, a reduction in hippocampal neurogenesis, and an altered composition of gut microbiota (GM). Fecal microbial transplantation (FMT) from CORT-treated mice transferred depressive-like phenotypes and their dominant GM, especially bifidobacterium and lactobacillus, to the recipients. Fecal metabolic profiling showed that the relative abundances of fecal ceramides were significantly increased in CORT-treated and the recipient mice. Metagenomic sequencing exposed that bifidobacterium and lactobacillus might be responsible for gut ceramides production in CORT-treated mice. We then found that treatment with ceramides via oral gavage was sufficient to recapitulate the depressive-like phenotypes in wild -type mice. Finally, RNA-sequencing data exposed that most of the differentially expressed genes (DEGs) between ceramides-treated mice and the control group were enriched in oxidative phosphorylation (OXPHOS) pathway. Conclusion: We conclude that chronic exposure to CORT leads to an altered GM composition and consequent ceramides production, thus leading to subtle mitochondrial OXPHOS dysfunction in hippocampus, which may contribute to the development of depressive disorders.
2024-04-01 | GSE229237 | GEO
Project description:Comparison of microbial DNA extraction methods for clinical applications
| PRJDB7617 | ENA
Project description:We used a DNA microarray chip covering 369 resistance types to investigate the relation of antibiotic resistance gene diversity with humansM-bM-^@M-^Y age. Metagenomic DNA from fecal samples of 123 healthy volunteers of four different age groups, i.e. pre-school Children (CH), School Children (SC), High School Students (HSS) and Adults (AD) were used for hybridization. The results showed that 80 different gene types were recovered from the 123 individuals gut microbiota, among which 25 were present in CH, 37 in SC, 58 in HSS and 72 in AD. Further analysis indicated that antibiotic resistance genes in groups of CH, SC and AD can be independently clustered, and those ones in group HSS are more divergent. The detailed analysis of antibiotic resistance genes in human gut is further described in the paper DNA microarray analysis reveals the antibiotic resistance gene diversity in human gut microbiota is age-related submitted to Sentific Reports The antibiotic resistance gene microarray is custom-designed (Roche NimbleGen), based on a single chip containing 3 internal replicated probe sets of 12 probes per resistance gene, covering the whole 315K 12-plex platform spots.
2014-01-16 | E-GEOD-54070 | biostudies-arrayexpress