Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Skin microbiota in atopic dermatitis

PROVIDER: PRJNA1175752 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR31066100_1.fastq.gz	Fastqsanger.gz
	SRR31066100_2.fastq.gz	Fastqsanger.gz
	SRR31066101_1.fastq.gz	Fastqsanger.gz
	SRR31066101_2.fastq.gz	Fastqsanger.gz
	SRR31066102_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 188

Similar Datasets

Metagenome sequencing of feces of mouse treated D-galactose or not

Project description:D-galactose orally intake ameliorate DNCB-induced atopic dermatitis by modulating microbiota composition and quorum sensing. The increased abundance of bacteroidetes and decreased abundance of firmicutes was confirmed. By D-galactose treatment, Bacteroides population was increased and prevotella, ruminococcus was decreased which is related to atopic dermatitis.

2022-04-29 | E-MTAB-11632 | biostudies-arrayexpress

Project description:Skin microbiota in atopic dermatitis

| PRJEB44392 | ENA

Genomic profiling of the overlap phenotype between psoriasis and atopic dermatitis

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

Genome-Wide Profiling of Lesional and Non-Lesional Skin from Atopic Dermatitis, Psoriasis, and Contact Dermatitis Skin

Project description:Genome-Wide Profiling of Lesional and Non-Lesional Skin from Atopic Dermatitis, Psoriasis, and Contact Dermatitis Skin

2020-06-23 | GSE153007 | GEO

N6-methyladenosine (m6A) modification in patients with psoriasis or atopic dermatitis [MeRIPseq_Human]

Project description:We analyzed m6A modifications in skin lesions of patients with psoriasis or atopic dermatitis (AD). The results of this study will help to gain insight into the molecular basis of m6A modification in inflammatory skin diseases such as psoriasis or atopic dermatitis.

2024-08-20 | GSE268744 | GEO

Local and systemic changes in lipid profile as potential biomarkers for canine atopic dermatitis.

Project description:Lipids play a critical role in the skin as components of the epidermal barrier and as sig-naling molecules. Atopic dermatitis in dogs is associated with changes in the lipid composition of the skin, but whether these precede the onset of dermatitis or occur secondary to the dermatitis is unclear. We applied rapid lipid profiling mass spectrometry methods to skin and blood samples of dogs and determined changes following systemic treatment. Thirty control dogs and 30 atopic dogs with mild to moderate dermatitis were enrolled. Marked differences in lipid profiles were observed between control, nonlesional and lesional skin of dogs. Additionally, there were significant altera-tions in the lipid composition of the blood samples indicating systemic changes in lipid metabolism. Treatment with oclacitinib or lokivetmab resulted in a significant decrease of the disease clinical severity associated with changes in skin and blood lipids. A set of lipid features of the skin were selected as biomarkers that classified samples as control or atopic dermatitis with 95% accuracy, whereas blood lipids discriminated between control and atopic dogs with 82% accuracy. These data suggest that atopic dermatitis is a systemic disease and support the use of rapid lipid profiling to identify novel biomarkers.

2021-07-16 | MSV000087837 | MassIVE

EGR1 increases the innervation density of epidermal sensory neurons via upregulation of ARTN in keratinocytes in atopic dermatitis

Project description:Atopic dermatitis (AD) is the chronic inflammatory skin disease accompanied with severe pruritus. To explore the roles of EGR1 in atopic dermatitis and the relationship between EGR1 and pruritus-scratching behavior, we used a atopic dermatitis-like mouse model driven by house dust mite (HDM) treatment in wild type and EGR1 KO mice, followed with RNA-sequencing analysis.

2024-01-15 | GSE214750 | GEO

Broad defects in epidermal cornification in atopic dermatitis (AD) identified through genomic analysis

Project description:In this study we used genomic profiling to characterize differences in expression of genes related to epidermal growth/differentiation and inflammatory circuits in skin lesions of psoriasis and atopic dermatitis (AD), comparing expression values to normal skin. Skin biopsies were collected from 9 patients with chronic atopic dermatitis, 15 psoriasis patients, and 9 healthy volunteers. Keywords: Genetic-pathology

2009-11-01 | GSE16161 | GEO

Microarray transcriptome profiling of atopic dermatitis and psoriasis patients compared to healthy volunteers.

Project description:Characteization host-microbiome interactions in patients with allergic (model: atopic dermatitis) and autoimmune (model: psoriasis) diseases by integration of microarray transcriptome data with 16S microbial profiling. 6mm punch biopsies were collected from the skin of atopic dermatitis and psoriasis patients alongside healthy volunteers, and subjected to analysis using Affymetrix Human Gene ST 2.1 arrays.

2019-09-11 | E-MTAB-8149 | biostudies-arrayexpress

Human gene 1.0 ST AD/IV Gene expression

Project description:Comparison of gene expression in atopic dermatitis (AD) and ichthyosis vulgaris (IV) patients skin compared to healthy control skin depending on filaggrin(FLG) genotype

2011-10-01 | E-MTAB-768 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data