Ontology highlight
ABSTRACT:
PROVIDER: PRJEB53514 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR5083180.fasta.gz | Fasta.gz | |||
| ERR5084117.fasta.gz | Fasta.gz | |||
| ERR5083130.fasta.gz | Fasta.gz | |||
| ERR5083315.fasta.gz | Fasta.gz | |||
| ERR5083231.fasta.gz | Fasta.gz |
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Project description:Shared signatures and divergence in skin microbiomes of children with atopic dermatitis and their adult caregivers
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Project description:Atopic dermatitis (AD) is the most prevalent chronic inflammatory skin disease in children characterized by dermatitis and pruritus. MicroRNAs (miRNAs) have been shown as great potential biomarkers for disease fingerprints to predict prognostics. We aimed to identify miRNA signature from serum and urine for the prognosis of AD patient by genome-wide miRNA profiling analysis. Serum from 8 children with AD and 8 healthy children were collected
2014-10-17 | E-GEOD-62404 | biostudies-arrayexpress
Project description:Atopic dermatitis (AD) is the most prevalent chronic inflammatory skin disease in children characterized by dermatitis and pruritus. MicroRNAs (miRNAs) have been shown as great potential biomarkers for disease fingerprints to predict prognostics. We aimed to identify miRNA signature from serum and urine for the prognosis of AD patient by genome-wide miRNA profiling analysis. Urine from 3 children with AD and 3 healthy children were collected
2014-10-17 | E-GEOD-62403 | biostudies-arrayexpress
Project description:The prevalence of atopic diseases has increased with atopic dermatitis (AD) as the earliest manifestation. We assessed if molecular risk factors in atopic mothers influence their offsprings’ susceptibility to an atopic disease. Pairs of pregnant women and their infants with or without parental atopy were followed over the first 2 years of life. Global DNA methylation and differentially methylated regions (DMR) were determined in atopic and non-atopic mothers. During the first 2 years of life, AD was more prevalent in children of atopic compared to non-atopic mothers with an increase in food sensitization in children with AD. 165 DMRs distinguished atopic from non-atopic mothers. Maternal atopy combined with DMRs increased the offsprings’ predicted risk to develop AD from an odds ratio of 2.56 to 4.26.
2022-12-15 | GSE163250 | GEO
Project description:Atopic dermatitis (AD) is the most prevalent chronic inflammatory skin disease in children characterized by dermatitis and pruritus. MicroRNAs (miRNAs) have been shown as great potential biomarkers for disease fingerprints to predict prognostics. We aimed to identify miRNA signature from serum and urine for the prognosis of AD patient by genome-wide miRNA profiling analysis.
2014-10-17 | GSE62403 | GEO
Project description:Atopic dermatitis (AD) is the most prevalent chronic inflammatory skin disease in children characterized by dermatitis and pruritus. MicroRNAs (miRNAs) have been shown as great potential biomarkers for disease fingerprints to predict prognostics. We aimed to identify miRNA signature from serum and urine for the prognosis of AD patient by genome-wide miRNA profiling analysis.
2014-10-17 | GSE62404 | GEO
Project description:Metaproteomics approach was used to investigate the microbial community and diversity of the infant gut to identify different key proteins with metabolic functional roles in the microbiomes of healthy and atopic dermatitis infants in a Thai population-based birth cohort.
2020-09-06 | PXD021324 | JPOST Repository
Project description:Clinical overlaps between psoriasis and atopic dermatitis are sometimes undiscernible, and there is no consensus whether to treat the overlap phenotype as psoriasis or atopic dermatitis. We enrolled patients diagnosed with either psoriasis or atopic dermatitis, and clinically re-stratified them into classic psoriasis, classic atopic dermatitis, and the overlap phenotype between psoriasis and atopic dermatitis. We compared gene expression profiles of lesional and nonlesional skin biopsy tissues between the three comparison groups. Global mRNA expression and T-cell subset cytokine expression in the skin of the overlap phenotype were consistent with the profiles of psoriasis and different from the profiles of atopic dermatitis. Unsupervised k-means clustering indicated that the best number of distinct clusters for the total population of the three comparison groups was two, and the two clusters of psoriasis and atopic dermatitis were differentiated by gene expression. Our study suggests that clinical overlap phenotype between psoriasis and atopic dermatitis has dominant molecular features of psoriasis, and genomic biomarkers can differentiate psoriasis and atopic dermatitis at molecular levels in patients with a spectrum of psoriasis and atopic dermatitis.
2023-06-24 | GSE182740 | GEO
Project description:We have created a global map of the effects of polymorphism on gene expression in 550 children from families recruited through a proband with atopic dermatitis. We genotyped >300,000 SNPs and identified expression quantitative trait loci from measurements of 16,487 probes representing 15,576 genes in Epstein-Barr virus¨Ctransformed lymphoblastoid cell lines. We executed genome-wide association scans for these traits.
2013-01-09 | E-MTAB-1428 | biostudies-arrayexpress
Project description:Background: How prenatal smoke exposure affects DNA methylation leading to atopic disorders remains to be addressed. Epigenetic biomarkers informative of prenatal smoke exposure and atopic disorders are wanting. Since most children suffering from atopic dermatitis (AD) continue to develop asthma later in life, we explored whether prenatal smoke exposure e induces DNA methylation and searched for predictive epigenetic biomarkers for smoke related atopic disorders. Methods: Methylation differences associated with smoke exposure were screened by Illumina methylation panel for children from the Taiwan birth panel study cohort initially. Information about development of atopic dermatitis (AD) and risk factors were collected. Cord blood cotinine levels were measured to represent prenatal smoke exposure. CpG loci that demonstrated a statistically significant difference in methylation were validated by methylation-dependent fragment separation (MDFS). Differential methylation in three genes (TSLP, GSTT1, and CYB5R3) was identified through the screen and their functions were investigated. Results: Among these, only thymic stromal lymphopoietin (TSLP) gene displayed significant difference in promoter methylation percentage after being validated by MDFS (p=0.029). TSLP gene was further investigated in a larger sample of 92 children from the cohort. Methylation status of the TSLP 5′-CpG island (CGI) was found to be significantly associated with prenatal smoke exposure (OR=3.59, 95%CI=1.49-8.64; cotinine level 0.10 ng/ml, sensitivity= 77%; specificity = 61%) and with AD (OR=4.77, 95%CI=1.47-15.53). The degree of TSLP 5′CGI methylation inversely correlated with TSLP protein expression levels (per unit: β=－6.69 ng/ml; 95% CIs, －12.80~－0.59; p=0.032). Conclusions: The effect of prenatal tobacco smoke exposure on the risk for AD may be mediated through DNA methylation. Cord blood methylated TSLP 5′CGI may be a potential epigenetic biomarker for environmentally-related atopic disorders. The buffy coat and plasma samples were separated and stored at −80°C. DNA (100 ng-500 ng) was extracted from cord white blood cells. Microarrays have been performed to investigate fourteen samples, which were classified as two groups according to cotinine exposure dosage (7 versus 7 : high exposure verses low exposure).
2013-12-31 | E-GEOD-35222 | biostudies-arrayexpress