Human gut metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA562061 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Gene expression profiling of peripheral blood cells from patients with rheumatoid arthritis (RA)/ systemic lupus erythematosus (SLE)/ polyarticular type juvenile idiopathic arthritis (polyJIA)/ systemic-onset JIA (sJIA) vs healthy children (HC) and healthy individual (HI).
2010-08-21 | GSE17755 | GEO
Project description:Total RNA from peripheral blood mononuclear cells (PBMC) and neutrophils from children with juvenile dermatomyositis (JDM) and juvenile idiopathic arthritis (JIA) were separately compared to pediatric control samples. Keywords: pediatric rheumatic disease, blood, PBMC, neutrophil, JIA, JDM
2009-03-25 | GSE11083 | GEO
Project description:Total RNA from peripheral blood mononuclear cells (PBMC) and neutrophils from children with juvenile dermatomyositis (JDM) and juvenile idiopathic arthritis (JIA) were separately compared to pediatric control samples. Keywords: pediatric rheumatic disease, blood, PBMC, neutrophil, JIA, JDM JIA PBMC n = 14 JIA neutrophils n=14 JDM PBMC n = 13 JDM neutrophils n = 14 pediatric control PBMC n = 15 pediatric control neutrophils n = 13
2009-03-25 | E-GEOD-11083 | biostudies-arrayexpress
Project description:recision use of targeted therapies is urgently needed to improve long-term clinical outcomes for children affected by inflammatory arthritis, known as Juvenile Idiopathic Arthritis. Progress has been obstructed by a lack of understanding of the cellular basis of joint inflammation in children, given the difficulties in obtaining and studying synovial tissue itself. To this end, we combine single-cell RNA-sequencing, multiplexed immunofluorescence imaging and spatial transcriptomics to define the cellular and transcriptomic landscape of the synovium in children with Juvenile Idiopathic Arthritis. We identify spatial niches of resident and infiltrating cell populations that correlate with the degree of inflammation, and gene programs associated with arthritis severity. Combined with analyses of synovial fluid and peripheral blood from the same children, we distinguish differences in cellular composition, signalling pathways and transcriptional programs across anatomical compartments. Whilst we identify several pathogenic populations shared with adult-onset arthritis, our analyses highlight increased vascularity of the inflamed developing joint and TGFb-driven stromal subsets that upregulate expression of disease risk-associated genes. Overall, these findings illustrate the need for treatment algorithms informed by a tissue-based classification of arthritis.
2025-05-11 | GSE278968 | GEO
Project description:recision use of targeted therapies is urgently needed to improve long-term clinical outcomes for children affected by inflammatory arthritis, known as Juvenile Idiopathic Arthritis. Progress has been obstructed by a lack of understanding of the cellular basis of joint inflammation in children, given the difficulties in obtaining and studying synovial tissue itself. To this end, we combine single-cell RNA-sequencing, multiplexed immunofluorescence imaging and spatial transcriptomics to define the cellular and transcriptomic landscape of the synovium in children with Juvenile Idiopathic Arthritis. We identify spatial niches of resident and infiltrating cell populations that correlate with the degree of inflammation, and gene programs associated with arthritis severity. Combined with analyses of synovial fluid and peripheral blood from the same children, we distinguish differences in cellular composition, signalling pathways and transcriptional programs across anatomical compartments. Whilst we identify several pathogenic populations shared with adult-onset arthritis, our analyses highlight increased vascularity of the inflamed developing joint and TGFb-driven stromal subsets that upregulate expression of disease risk-associated genes. Overall, these findings illustrate the need for treatment algorithms informed by a tissue-based classification of arthritis.
2025-05-11 | GSE278962 | GEO
Project description:We transplanted gut microbiota via fecal transfer from TD and ASD children into germ-free wild-type mice, and reveal that colonization with ASD microbiomes induces hallmark changes in sociability, vocalization, and stereotypies. The brains of mice receiving gut microbiota from ASD individuals display alternative splicing patterns for genes dysregulated in the human ASD brain.
2019-02-01 | GSE109827 | 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:Autoimmune diseases, such as rheumatoid arthritis, are associated with significant gut microbiota dysbiosis. Here we show that remodelling of 24h rhythms within the gut during inflammatory joint disease drives profound changes in the microbiome and gut permeability.
2023-03-15 | GSE184233 | GEO
Project description:To determine whether gene expression profiles from peripheral whole blood could be used to determine therapeutic outcome in a cohort of children with newly diagnosed polyarticular JIA. 19 samples were obtained from healthy childhood controls and 93 samples from patients with juvenile idiopathic arthritis. For patient samples, they were collected prior to treatment (month 0) or 4 months after treatment.
2014-02-26 | E-GEOD-55319 | biostudies-arrayexpress