Ontology highlight
ABSTRACT:
PROVIDER: PRJNA730929 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR14583400.fastq.gz | Fastqsanger.gz | |||
| SRR14583500.fastq.gz | Fastqsanger.gz | |||
| SRR14583600.fastq.gz | Fastqsanger.gz | |||
| SRR14583401.fastq.gz | Fastqsanger.gz | |||
| SRR14583501.fastq.gz | Fastqsanger.gz |
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Project description:Cervicovaginal microbiome dysbiosis is associated with increased prevalence and incidence of sexually transmitted infections including HIV. We compared the cervicovaginal proteome as characterised by mass-spectrometry of four groups of African female sex workers (total N=50) grouped by microbiome composition as characterised by 16S rDNA microarray. Group 1 had a Lactobacillus crispatus-dominated microbiome, group 2 a L. iners-dominated microbiome, and groups 3 and 4 had a microbiome containing multiple genera of anaerobic bacteria, with group 3 representing transition to or from dysbiosis and group 4 full dysbiosis. 82 human proteins were differentially abundant among the groups, either showing an increasing or decreasing trend from microbiome groups 1 to 4. Proteins that increased included proteasome subunits and other proteins involved in catabolic metabolism, actin organising proteins and proteins involved in the immune response. Proteins that decreased included antiproteases, keratins, and cornified envelope proteins. We also compared the abundance of pre-defined proteins of interest among microbiome groups: markers of cell type, inflammation, and cell death, and mucins. The dysbiotic groups had increased abundance of proteins unique to lymphocytes and macrophages, pro-inflammatory cytokines, cell death markers, and MUC5B. We conclude that the cervicovaginal human proteome is associated with the cervicovaginal microbiome in a dose-response manner. The changes are likely caused by a pro-inflammatory influx of immune cells and an increase of cell death in dysbiosis. Dysbiosis-associated immune activation, breaches in epithelial integrity, altered mucin balance, and altered protease-antiprotease balance may all contribute to the increased risk of HIV transmission when cervicovaginal dysbiosis is present.
2015-09-25 | PXD001435 | Pride
Project description:Today, swine is regarded as promising biomedical model, however, its gastrointestinal microbiome dynamics have been less investigated than that of humans or murine models . The aim of this study was to establish a high-throughput multi-omics pipeline to investigate the healthy fecal microbiome of swine and its temporal dynamics as basis for future infection studies. To this end, a homogenization protocol based on deep-frozen feces followed by integrated sample preparation for different meta-omics analyses was developed. Subsequent data integration linked microbiome composition with function, i.e. expressed proteins and secreted metabolites.
2021-02-15 | PXD020775 | Pride
Project description:Background: While the luminal microbiome composition in the human cervicovaginal tract has been defined, the presence and impact of tissue-adherent ectocervical microbiota remain incompletely understood. Studies of luminal and tissue-associated bacteria in the gastrointestinal tract suggest that they may have distinct roles in health and disease. Here, we performed a multi-omics characterization of paired luminal and tissue samples collected from a clinically well-characterized cohort of Kenyan women. Results: We identified a tissue-adherent bacterial microbiome, with a higher alpha diversity than the luminal microbiome, in which dominant genera overall included Gardnerella and Lactobacillus, followed by Prevotella, Atopobium, and Sneathia. About half of the L. iners dominated luminal samples had a corresponding Gardnerella dominated tissue microbiome. Broadly, the tissue-adherent microbiome was associated with fewer differentially expressed host genes than the luminal microbiome. Gene set enrichment analysis revealed that L. crispatus-dominated tissue-adherent communities were associated with protein translation and antimicrobial activity, whereas a highly diverse microbiome was associated with epithelial remodeling and pro-inflammatory pathways. Communities dominated by L. iners and Gardnerella were associated with low host transcriptional activity. Tissue-adherent microbiomes dominated by Lactobacillus and Gardnerella correlated with host protein profiles associated with epithelial barrier stability, and with a more pro-inflammatory profile for the Gardnerella-dominated microbiome group. Tissue samples with a highly diverse composition had a protein profile representing cell proliferation and pro-inflammatory activity. Conclusion: We identified ectocervical tissue-adherent bacterial communities in all study participants. These communities were distinct from cervicovaginal luminal microbiota in a significant proportion of individuals. This difference could possibly explain that L. iners dominant luminal communities have a high probability of transitioning to high diverse bacterial communities including high abundance of Gardnerella. By performing integrative multi-omics analyses we further revealed that bacterial communities at both sites correlated with distinct host gene expression and protein levels. The tissue-adherent bacterial community is similar to vaginal biofilms that significantly impact women’s reproductive and sexual health.
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Project description:The cell cycle is a tightly regulated process that requires precise temporal expression of hundreds of cell cycle-dependent genes. However, the genome-wide dynamics of mRNA metabolism throughout the cell cycle remain uncharacterized. Here, we combined single-cell multiome sequencing, biophysical modeling, and deep learning to quantify rates of mRNA transcription, splicing, nuclear export, and degradation. Our approach revealed that both transcriptional and post-transcriptional processes exhibit distinct oscillatory waves at specific cell cycle phases, with post-transcriptional regulation playing a prominent role in shaping mRNA accumulation. We also observed dynamic changes in chromatin accessibility and transcription factor binding footprints, identifying key regulators underlying the oscillatory dynamics of mRNA. Taken together, our approach uncovered a high-resolution map of RNA metabolism dynamics and chromatin accessibility, offering new insights into the temporal control of gene expression in proliferating cells.
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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
Project description:Aging is the predominant cause of morbidity and mortality in industrialized countries. The specific molecular mechanisms that drive aging are poorly understood, especially the contribution of the microbiota in these processes. Here, we combined multi-omics with metabolic modeling in mice to comprehensively characterize host–microbiome interactions and how they are affected by aging. Our findings reveal a complex dependency of host metabolism on microbial functions, including previously known as well as novel interactions. We observed a pronounced reduction in metabolic activity within the aging microbiome, which we attribute to reduced beneficial interactions in the microbial community and a reduction in the metabolic output of the microbiome. These microbial changes coincided with a corresponding downregulation of key host pathways predicted by our model that are crucial for maintaining intestinal barrier function, cellular replication, and homeostasis. Our results elucidate potential microbiome–host interactions that may influence host aging processes, focusing on microbial nucleotide metabolism as a pivotal factor in aging dynamics.
2024-03-27 | GSE262290 | GEO
Project description:The clinical importance of microbiomes to the chronicity of wounds is widely appreciated, yet little is understood about patient-specific processes shaping wound microbiome composition. Here, a two-cohort microbiome-genome wide association study is presented through which patient genomic loci associated with chronic wound microbiome diversity were identified. Further investigation revealed that alternative TLN2 and ZNF521 genotypes explained significant inter-patient variation in relative abundance of two key pathogens, Pseudomonas aeruginosa and Staphylococcus epidermidis. Wound diversity was lowest in Pseudomonas aeruginosa infected wounds, and decreasing wound diversity had a significant negative linear relationship with healing rate. In addition to microbiome characteristics, age, diabetic status, and genetic ancestry all significantly influenced healing. Using structural equation modeling to identify common variance among SNPs, six loci were sufficient to explain 53% of variation in wound microbiome diversity, which was a 10% increase over traditional multiple regression. Focusing on TLN2, genotype at rs8031916 explained expression differences of alternative transcripts that differ in inclusion of important focal adhesion binding domains. Such differences are hypothesized to relate to wound microbiomes and healing through effects on bacterial exploitation of focal adhesions and/or cellular migration. Related, other associated loci were functionally enriched, often with roles in cytoskeletal dynamics. This study, being the first to identify patient genetic determinants for wound microbiomes and healing, implicates genetic variation determining cellular adhesion phenotypes as important drivers of infection type. The identification of predictive biomarkers for chronic wound microbiomes may serve as risk factors and guide treatment by informing patient-specific tendencies of infection.
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