Ontology highlight
ABSTRACT:
PROVIDER: PRJNA400254 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Opioids such as morphine have many beneficial properties as analgesics, however, opioids may induce multiple adverse gastrointestinal symptoms. We have recently demonstrated that morphine treatment results in significant disruption in gut barrier function leading to increased translocation of gut commensal bacteria. However, it is unclear how opioids modulate the gut homeostasis. By using a mouse model of morphine treatment, we studied effects of morphine treatment on gut microbiome. We characterized phylogenetic profiles of gut microbes, and found a significant shift in the gut microbiome and increase of pathogenic bacteria following morphine treatment when compared to placebo. In the present study, wild type mice (C57BL/6J) were implanted with placebo, morphine pellets subcutaneously. Fecal matter were taken for bacterial 16s rDNA sequencing analysis at day 3 post treatment. A scatter plot based on an unweighted UniFrac distance matrics obtained from the sequences at OTU level with 97% similarity showed a distinct clustering of the community composition between the morphine and placebo treated groups. By using the chao1 index to evaluate alpha diversity (that is diversity within a group) and using unweighted UniFrac distance to evaluate beta diversity (that is diversity between groups, comparing microbial community based on compositional structures), we found that morphine treatment results in a significant decrease in alpha diversity and shift in fecal microbiome at day 3 post treatment compared to placebo treatment. Taxonomical analysis showed that morphine treatment results in a significant increase of potential pathogenic bacteria. Our study shed light on effects of morphine on the gut microbiome, and its role in the gut homeostasis.
2018-04-16 | E-MTAB-5546 | 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:This study investigates the gut microbiome composition and diversity in three groups of rats: control, radiation enteritis model, and treatment (TG) groups. Total DNA was extracted from stool samples, PCR-amplified targeting 16S rRNA gene variable regions, and sequenced using Illumina MiSeq or NovaSeq platforms. Downstream bioinformatics analyses included sequence quality control, denoising (DADA2/OTU clustering), taxonomic classification, alpha and beta diversity evaluation, differential species abundance analysis, and functional prediction. The processed data include ASV/OTU tables, taxonomy assignments, and sample metadata.
2026-01-26 | GSE317110 | GEO
Project description:Gut microbial profiling of uterine fibroids (UFs) patients comparing control subjects. The gut microbiota was examined by 16S rRNA quantitative arrays and bioinformatics analysis. The goal was to reveal alterations in the gut microbiome of uterine fibroids patients.
2022-03-05 | GSE197904 | GEO
Project description:Inter-microbial and host–microbial interactions are thought to be critical for the functioning of the gut microbiome, but few substantive tools are available to measure these interactions. Here, we report a method for unbiased spatial sampling of microbiome-host interactions in the gut at high spatial resolution. This method combines enzymatic in situ polyadenylation of both bacterial and host transcripts with spatial RNA-sequencing. Application of this method revealed the biogeography of the mouse gut microbiome as function of location in the intestine, short-range intermicrobial interaction, local shaping of the microbiome by the host, and tumor-associated changes in the architecture of the host-microbiome interface. This method is compatible with broadly available commercial platforms for spatial RNA-sequencing, and can therefore be readily adopted to broadly study the role of short-range, bidirectional host-microbe interactions in microbiome health and disease.
2026-01-21 | GSE277197 | GEO
Project description:Inter-microbial and host–microbial interactions are thought to be critical for the functioning of the gut microbiome, but few substantive tools are available to measure these interactions. Here, we report a method for unbiased spatial sampling of microbiome-host interactions in the gut at high spatial resolution. This method combines enzymatic in situ polyadenylation of both bacterial and host transcripts with spatial RNA-sequencing. Application of this method revealed the biogeography of the mouse gut microbiome as function of location in the intestine, short-range intermicrobial interaction, local shaping of the microbiome by the host, and tumor-associated changes in the architecture of the host-microbiome interface. This method is compatible with broadly available commercial platforms for spatial RNA-sequencing, and can therefore be readily adopted to broadly study the role of short-range, bidirectional host-microbe interactions in microbiome health and disease.
2026-01-21 | GSE276866 | GEO
Project description:Inter-microbial and host–microbial interactions are thought to be critical for the functioning of the gut microbiome, but few substantive tools are available to measure these interactions. Here, we report a method for unbiased spatial sampling of microbiome-host interactions in the gut at high spatial resolution. This method combines enzymatic in situ polyadenylation of both bacterial and host transcripts with spatial RNA-sequencing. Application of this method revealed the biogeography of the mouse gut microbiome as function of location in the intestine, short-range intermicrobial interaction, local shaping of the microbiome by the host, and tumor-associated changes in the architecture of the host-microbiome interface. This method is compatible with broadly available commercial platforms for spatial RNA-sequencing, and can therefore be readily adopted to broadly study the role of short-range, bidirectional host-microbe interactions in microbiome health and disease.
2026-01-21 | GSE316869 | GEO
Project description:Inter-microbial and host–microbial interactions are thought to be critical for the functioning of the gut microbiome, but few substantive tools are available to measure these interactions. Here, we report a method for unbiased spatial sampling of microbiome-host interactions in the gut at high spatial resolution. This method combines enzymatic in situ polyadenylation of both bacterial and host transcripts with spatial RNA-sequencing. Application of this method revealed the biogeography of the mouse gut microbiome as function of location in the intestine, short-range intermicrobial interaction, local shaping of the microbiome by the host, and tumor-associated changes in the architecture of the host-microbiome interface. This method is compatible with broadly available commercial platforms for spatial RNA-sequencing, and can therefore be readily adopted to broadly study the role of short-range, bidirectional host-microbe interactions in microbiome health and disease.
2026-01-21 | GSE308507 | GEO
Project description:Inter-microbial and host–microbial interactions are thought to be critical for the functioning of the gut microbiome, but few substantive tools are available to measure these interactions. Here, we report a method for unbiased spatial sampling of microbiome-host interactions in the gut at high spatial resolution. This method combines enzymatic in situ polyadenylation of both bacterial and host transcripts with spatial RNA-sequencing. Application of this method revealed the biogeography of the mouse gut microbiome as function of location in the intestine, short-range intermicrobial interaction, local shaping of the microbiome by the host, and tumor-associated changes in the architecture of the host-microbiome interface. This method is compatible with broadly available commercial platforms for spatial RNA-sequencing, and can therefore be readily adopted to broadly study the role of short-range, bidirectional host-microbe interactions in microbiome health and disease.
2026-01-21 | GSE277196 | GEO