Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Microbe-host interactions in rosacea, transcriptome

ABSTRACT: Multi-omics study of microbe-host interactions in rosacea

PROVIDER: PRJEB82848 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Microbe-host interactions in rosacea

Project description:Multi-omics study of microbe-host interactions in rosacea

| PRJEB82826 | ENA

Multi-Omic Analyses of Dietary Fatty Acid-Microbe-Host Interactions Reveal Metaorganismal Lipid Metabolic Crosstalk Impacting Cardiometabolic Disease

Project description:Following a meal, our gut microbiome and human cells collaborate via metaorganismal metabolic circuits to produce diverse nutrient metabolites that systemically circulate to influence health and disease. Although there are now several examples of bacterial fiber-, amino acid-, and micronutrient-derived metabolites impacting cardiometabolic disease, very little is known in regards to how diet-microbe-host interactions impact lipid homeostasis. Here we address this by defining dietary fatty acid substrate availability in germ-free versus conventionally-raised mice coupled to deep multi-omic metabolic phenotyping. Our data demonstrate that the effects of dietary saturated (SFA), monounsaturated (MUFA), and polyunsaturated fatty acids (PUFA) on the host lipidome, transcriptome, proteome and metabolome are uniquely impacted by resident microbiota. Also, the hepatic levels of both pro-inflammatory and pro-resolving lipid mediators are strongly influenced by dietary fatty acid-microbe interactions. This study presents a unique resource to the nutrition and metabolism research community to advance our understanding of metaorganismal lipid metabolism.

2026-08-18 | GSE344174 | GEO

The effects of host-microbe interactions on the epigenetic signatures of cervicovaginal epithelial cells [ATAC-Seq]

Project description:To identify chromatin alterations by host-microbe interactions in cervicovaginal epithelial cells we performed ATAC-sequencing. We identified regions of chromatin that were altered in cervicovaginal epithelial cells after exposure to L. crispatus supernatant.

2023-12-14 | GSE233444 | GEO

Multi-omics analyses of airway host-microbe interactions in chronic obstructive pulmonary disease identify potential therapeutic interventions

Project description:The mechanistic role of the airway microbiome in chronic obstructive pulmonary disease (COPD) remains largely unexplored. We present a landscape of airway microbe-host interactions in COPD through an in-depth profiling of the sputum metagenome, metabolome, host transcriptome and proteome from 99 COPD patients and 36 healthy individuals in China.

| EGAS00001006398 | EGA

Spatial transcriptomics revealing host-microbe interactions

Project description:We developed an analysis pipeline that can extract microbial sequences from Spatial Transcriptomic (ST) data and assign taxonomic labels, generating a spatial microbial abundance matrix in addition to the default host expression matrix, enabling simultaneous analysis of host expression and microbial distribution. We called the pipeline Spatial Meta-transcriptome (SMT) and applied it on both human and murine intestinal sections and validated the spatial microbial abundance information with alternative assays. Biological insights were gained from this novel data that that demonstrated host-microbe interaction at various spatial scales. Finally, we tested experimental modification that can increase microbial capture while preserving host spatial expression quality and, by use of positive controls, quantitatively demonstrated the capture efficiency and recall of our methods. This proof of concept work demonstrates the feasibility of Spatial Meta-transcriptomic analysis, and paves the way for further experimental optimization and application.

2022-08-10 | GSE210738 | GEO

Host-Microbe Interactions in the Nasal Cavity of Dogs with Chronic Idiopathic Rhinitis

Project description:Chronic rhinitis (CR) is a frustrating clinical syndrome in dogs and our understanding of the disease pathogenesis in is limited. Increasingly, host-microbe interactions are considered key drivers of clinical disease in sites of persistent mucosal inflammation such as the nasal and oral cavities. Therefore, we applied next generation sequencing tools to interrogate abnormalities present in the nose of dogs with CR and compared immune and microbiome profiles to those of healthy dogs. Host nasal cell transcriptomes were evaluated by RNA sequencing, while microbial communities were assessed by 16S rRNA sequencing. Correlation analysis was then used to identify significant interactions between nasal cell transcriptomes and the nasal microbiome and how these interactions were altered in animals with CR. Notably, we observed significant downregulation of multiple genes associated with ciliary function in dogs with CR, suggesting a previously undetected role for ciliary dysfunction in this syndrome. We also found significant upregulation of immune genes related to the TNF-a and interferon pathways. The nasal microbiome was also significantly altered in CR dogs, with overrepresentation of several potential pathobionts. Interactome analysis revealed significant correlations between bacteria in the genus Porphyromonas and the upregulated host inflammatory responses in dogs with CR, as well as defective ciliary function which was correlated with Streptococcus abundance. These findings provide new insights into host-microbe interactions in a canine model of CR and indicate the presence of potentially causal relationships between nasal pathobionts and the development of nasal inflammation and ciliary dysfunction.

2024-08-08 | GSE255529 | GEO

The effects of host-microbe interactions on the transcriptomic signatures of cervicovaginal epithelial cells [RNA-seq]

Project description:To elucidate the molecular pathways altered by host-microbe interactions in cervicovaginal epithelial cells we performed whole genome RNA-sequencing. We identified genes and functional pathways that were altered in cervicovaginal epithelial cells after exposure to G. vaginalis or L. crispatus or their supernatant.

2023-12-14 | GSE234836 | GEO

The effects of host-microbe interactions on cervicovaginal epithelial cells

Project description:The effects of host-microbe interactions on cervicovaginal epithelial cells

| PRJNA983312 | ENA

Modeling host-microbe interactions in immunocompetent engineered human gut tissues

Project description:Modeling host-microbe interactions in immunocompetent engineered human gut tissues

| PRJEB110842 | ENA

Drug-host-microbe interactions in the Wilson's Disease

Project description:Metabolic dysfunction and drug-host-microbe interactions in the Wilson's Disease gut-liver axis

| PRJEB104642 | ENA