Microbiota
Ontology highlight
ABSTRACT:
PROVIDER: PRJDB17492 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| DRR528789_1.fastq.gz | Fastqsanger.gz | |||
| DRR528789_2.fastq.gz | Fastqsanger.gz | |||
| DRR528790_1.fastq.gz | Fastqsanger.gz | |||
| DRR528790_2.fastq.gz | Fastqsanger.gz | |||
| DRR528793_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 240 |
Similar Datasets
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
Project description:Bacterial vaginosis (BV) treatment failures or recurrences are common. To identify features associated with treatment response, we compared vaginal microbiota and host ectocervical transcriptome before and after oral metronidazole therapy. Response to metronidazole is characterized by significant changes in chemokines and related transcripts suggesting that strategies to promote these pathways may prove beneficial.
2021-05-21 | GSE174799 | GEO
Project description:Investigation of age-related changes in IgA repertoire
| PRJDB14966 | ENA
Project description:Investigation of age-related changes in gut microbiota and IgA binding capacity
| PRJDB14964 | ENA
Project description:Investigation of the impact of B cell senescence on oral microbiota
| PRJDB17493 | ENA
Project description:We used a DNA microarray chip covering 369 resistance types to investigate the relation of antibiotic resistance gene diversity with humans’ 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
2014-01-16 | GSE54070 | GEO
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
Project description:Neonatal mice were susceptible to cryptosporidium infection at 1- and 2-weeks of age, but were resistant to infection at 3- and 6-weeks of age. Diet and microbial changes are known to occur during the weaning transition in mice and we hypothesized that these changes in the intestinal luminal environment might influence resistance and susceptibility to cryptosporidium infection. As one part of testing this hypothesis, cecal microbiota composition was determined by 16S ribosomal RNA sequencing of DNA isolated from the cecal contents of mice at 1 week, 2 weeks, 3 weeks, and 6 weeks of age.
2020-11-03 | E-MTAB-9100 | biostudies-arrayexpress
Project description:Understanding the impact of the microbiota on oral mucosal epithelial barriers, particularly within the gingiva, is essential for elucidating the mechanisms underlying oral health and disease. The gingiva exhibits intricate tissue architecture and undergoes dynamic microenvironmental shifts influenced by various factors. Notably, microbial colonization emerges as an early-life factor that plays a significant role in shaping the functional and immunological maturation of the gingival epithelium. This study utilizes spatial transcriptomic analysis to unveil distinct immunological characteristics between the buccal and palatal regions of the murine gingiva, impacting natural alveolar bone loss. Moreover, the analysis identifies a significant influence of the microbiota on the development and function of the junctional epithelium, which faces the oral microbial plaque, offering new insights into neutrophil recruitment to this strategic location. Additionally, the microbiota is found to impact fundamental functions of the gingival epithelium, including proliferation kinetics and barrier sealing. In conclusion, this study emphasizes the crucial role played by the microbiota in regulating gingival barriers and brings attention to its unique influence on specific epithelial regions within the gingiva.
2024-12-18 | GSE269171 | GEO
Project description:Analysis of gene expression of colon or ileum tissue of germfree, germfree mice colonized with SPF microbiota at 5 weeks of age, and SPF mice at 6 or 10 weeks of age under health and DSS colitis
2018-06-02 | GSE115202 | GEO