Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1196614 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Identification of renal medulla microRNAs whose expression differs between male individuals with high blood pressure and normal blood pressure using Agilent Human miRNA Microarrays (V3, release 12.0).
2011-10-15 | GSE28344 | GEO
Project description:Identification of renal cortex microRNAs whose expression differs between male individuals with high blood pressure and normal blood pressure using Agilent Human miRNA Microarrays (V3, release 12.0).
2011-10-15 | GSE28283 | GEO
Project description:An increasing body of evidence suggests an important role of the human microbiome in health and disease. We propose a ‘lost and found’ pipeline, which examines high quality unmapped sequence reads for microbial taxonomic classification. Using this pipeline, we are able to detect bacterial and archaeal phyla in blood using RNA sequencing (RNA-Seq) data. Careful analyses, including the use of positive and negative control datasets, suggest that these detected phyla represent true microbial communities in whole blood and are not due to contaminants. We applied our pipeline to study the composition of microbial communities present in blood across 192 individuals from four subject groups: schizophrenia (n=48), amyotrophic lateral sclerosis (n=47), bipolar disorder (n=48) and healthy controls (n=49). We observe a significantly increased microbial diversity in schizophrenia compared to the three other groups and replicate this finding in an independent schizophrenia case-control study. Our results demonstrate the potential use of total RNA to study microbes that inhabit the human body.
2016-05-25 | GSE80974 | GEO
Project description:Identification of renal medulla genes whose expression differs between male individuals with high blood pressure and normal blood pressure using Affymetrix GeneChip Human Gene 1.0 ST Arrays.
2011-10-15 | GSE28360 | GEO
Project description:Identification of renal cortex genes whose expression differs between male individuals with high blood pressure and normal blood pressure using Affymetrix GeneChip Human Gene 1.0 ST Arrays.
2011-10-15 | GSE28345 | GEO
Project description:Background: Hypertension is one of the most common metabolic diseases in the elderly and its pathogenesis is associated with microbiota dysbiosis. Recent evidence suggests that oral microbiota dysbiosis is also an important factor in the development of hypertension. However, the relationship between hypertension and oral flora in the elderly has not been adequately investigated. Objective: The aim of this cross-sectional study was to investigate the structure of the oral microbiota and its correlation with hypertension in elderly hypertensive patients. To provide new ideas for the prevention and treatment of hypertension. Methods: 206 subjects aged 60 ~ 89 years were selected and divided into normal (CON) and hypertensive (HTN) groups, according to the 2018 Chinese Guidelines for the Management of Hypertension. The oral microbiome composition of saliva samples was determined by 16S rRNA gene sequencing. Results: Although there was no significant difference in α and β diversity between the two groups, systolic and diastolic blood pressure were the most important factors influencing the structure of the oral microbiota. At the phylum level, the relative abundance of the spirochete phylum and the mutualistic bacterial phylum was higher in the HT group than in the CON group (p < 0.05). Diastolic blood pressure was negatively correlated with Streptococcus. Furthermore, we analyzed HTN patients with 120 mmHg<systolic blood pressure<160 mmHg and systolic blood pressure>160 mmHg separately and found that the abundance of Saccharibacteria_(TM7) was significantly increased in the HTN_2 group. Conclusions: Our study identified specific oral microbiota in elderly hypertensive patients, confirming the relationship between oral microbiota and hypertension. This enhances our understanding of the important role of oral microbiota in the pathogenesis of hypertension and accumulates more evidence for microbial involvement in the development of hypertension.
2024-09-17 | GSE277296 | GEO
Project description:Mucosal-associated invariant T (MAIT) cells are innate-like T cells that recognize microbial metabolites through a semi-invariant T cell receptor (TCR). Major questions remain regarding the extent of human MAIT cell functional and clonal diversity. To address these, we analyzed the single-cell transcriptome and TCR repertoire of blood and liver MAIT cells and developed functional RNA sequencing, a method to integrate function and TCR clonotype at single-cell resolution. MAIT cell clonal diversity was comparable to conventional memory T cells, with private TCR repertoires shared across matched tissues. Baseline functional diversity was low and largely related to tissue site. MAIT cells showed stimulus-specific transcriptional responses in vitro, with cells positioned along gradients of activation. Clonal identity influenced resting and activated transcriptional profiles but intriguingly was not associated with the capacity to produce IL- 17. Overall, MAIT cells show phenotypic and functional diversity according to tissue localization, stimulation environment and clonotype.
2023-08-14 | GSE238139 | GEO