Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1088636 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR28362000_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR28362001_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR28362002_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR28362003_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR28362004_subreads.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 84 |
Similar Datasets
Project description:The goal of this study is to use a rapid method for oral neutrophil isolation and use a transcriptomics approach to characterize and compare the neutrophil gene expression profile in the blood and oral compartment of healthy individuals, chronic periodontitis patients and refractory periodontitis patients. Total RNA obtained from isolated neutrophils from blood and oral samples of Healthy patients, chronic periodontits patients and refractory periodontitis patients
2013-02-26 | E-GEOD-43525 | biostudies-arrayexpress
Project description:The goal of this study is to use a rapid method for oral neutrophil isolation and use a transcriptomics approach to characterize and compare the neutrophil gene expression profile in the blood and oral compartment of healthy individuals, chronic periodontitis patients and refractory periodontitis patients.
2013-02-26 | GSE43525 | GEO
Project description:The composition of the salivary microbiota has been reported to differentiate between patients with periodontitis, dental caries and orally healthy individuals. Thus, the purpose of the present investigation was to compare metaproteomic profiles of saliva in oral health and disease. Stimulated saliva samples were collected from 10 patients with periodontitis, 10 patients with dental caries and 10 orally healthy individuals. Samples were analyzed by means of shotgun proteomics. 4161 different proteins were recorded out of which 1946 and 2090 were of bacterial and human origin respectively. The human proteomic profile displayed significant overexpression of the complement system and inflammatory mediators in periodontitis and dental caries. Bacterial proteomic profiles and functional annotation were very similar in health and disease. Data revealed multiple potential salivary proteomic biomarkers of oral disease. In addition, comparable bacterial functional profiles were observed in periodontitis, dental caries and oral health, which suggest that the salivary microbiota predominantly thrives in a planktonic state expressing no characteristic disease-associated metabolic activity. Future large-scale longitudinal studies are warranted to reveal the full potential of proteomic analysis of saliva as a biomarker of oral health and disease.
2017-03-29 | MSV000080763 | MassIVE
Project description:Periodontitis patients often develop bacteremia, but there has been little evidence showing that oral bacteria translocate into other organs. We found that bacterial colony formation occurs in a culture of liver and spleen cells of periodontitis-induced mice, and the bacterial species detected in the liver and spleen were found in the oral cavity as well, but not in fecal samples, indicating systemic dissemination of oral bacteria during the breakdown of the oral barrier.
2018-01-26 | GSE109664 | GEO
Project description:The composition of the salivary microbiota has been reported to differentiate between patients with periodontitis, dental caries and orally healthy individuals. Thus, the purpose of the present investigation was to compare metaproteomic profiles of saliva in oral health and disease. Stimulated saliva samples were collected from 10 patients with periodontitis, 10 patients with dental caries and 10 orally healthy individuals. Samples were analyzed by means of shotgun proteomics. 4161 different proteins were recorded out of which 1946 and 2090 were of bacterial and human origin respectively. The human proteomic profile displayed significant overexpression of the complement system and inflammatory mediators in periodontitis and dental caries. Bacterial proteomic profiles and functional annotation were very similar in health and disease. Data revealed multiple potential salivary proteomic biomarkers of oral disease. In addition, comparable bacterial functional profiles were observed in periodontitis, dental caries and oral health, which suggest that the salivary microbiota predominantly thrives in a planktonic state expressing no characteristic disease-associated metabolic activity. Future large-scale longitudinal studies are warranted to reveal the full potential of proteomic analysis of saliva as a biomarker of oral health and disease.
2016-08-15 | PXD004319 | Pride
Project description:The pathogenic determinants of chronic periodontitis leading to extra-oral comorbidity are unclear. This study was conducted to investigate the main determinants that correlate chronic periodontitis and systemic diseases via periodontitis-evoked molecular changes in immune cells resolved by therapy. Single-cell RNA sequencing using peripheral blood mononuclear cells was performed to compare the molecular and biological differences in immune cells of 4 pre- and 4 post-treatment patients and 4 healthy donors. Periodontal treatment was one-day full-arch scaling and root planning for full mouth disinfection. Altered expression of genes involved in the inflammatory response in the patients was compared with that in healthy donors following therapeutic intervention. The common representative genes across diverse cell types were investigated; those genes were associated with periodontitis-pathogenic bacterial systemic diseases. These important factors correlating chronic periodontitis and systemic inflammatory diseases at the single-cell level may serve as therapeutic targets.
2022-11-09 | GSE174609 | GEO
Project description:This study compared the subgingival microbiota of subjects with periodontitis to those with periodontal health using the Human Oral Microbe Identification Microarray (HOMIM).
2011-09-17 | GSE32159 | GEO
Project description:The effect of oral microbiota on the intestinal microbiota has garnered growing attention as a mechanism linking periodontal diseases to systemic diseases. However, the salivary microbiota is diverse and comprises numerous bacteria with a largely similar composition in healthy individuals and periodontitis patients. Thus, the systemic effects of small differences in the oral microbiota are unclear. In this study, we explored how health-associated and periodontitis-associated salivary microbiota differently colonized the intestine and their subsequent systemic effects by analyzing the hepatic gene expression and serum metabolomic profiles. The salivary microbiota was collected from a healthy individual and a periodontitis patient and gavaged into C57BL/6NJcl[GF] mice. Samples were collected five weeks after administration. Gut microbial communities were analyzed by 16S ribosomal RNA gene sequencing. Hepatic gene expression profiles were analyzed using a DNA microarray and quantitative polymerase chain reaction. Serum metabolites were analyzed by capillary electrophoresis time-of-flight mass spectrometry. The gut microbial composition at the genus level was significantly different between periodontitis-associated microbiota-administered (PAO) and health-associated oral microbiota-administered (HAO) mice. The hepatic gene expression profile demonstrated a distinct pattern between the two groups, with higher expression of Neat1, Mt1, Mt2, and Spindlin1, which are involved in lipid and glucose metabolism. Disease-associated metabolites such as 2-hydroxyisobutyric acid and hydroxybenzoic acid were elevated in PAO mice. These metabolites were significantly correlated with Bifidobacterium, Atomobium, Campylobacter, and Haemophilus, which are characteristic taxa in PAO mice. Conversely, health-associated oral microbiota were associated with higher levels of beneficial serum metabolites in HAO mice. The multi-omics approach used in this study revealed that periodontitis-associated oral microbiota is associated with the induction of disease phenotype when they colonized the gut of germ-free mice.
2022-08-17 | GSE198570 | GEO