Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Mus musculus strain:NC/Nga mouse

ABSTRACT: Beneficial effects of ultrafine bubble shower on a mouse model of atopic dermatitis

PROVIDER: PRJDB19182 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	DRR621560_1.fastq.gz	Fastqsanger.gz
	DRR621560_2.fastq.gz	Fastqsanger.gz
	DRR621561_1.fastq.gz	Fastqsanger.gz
	DRR621561_2.fastq.gz	Fastqsanger.gz
	DRR621562_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 6

Similar Datasets

Gene expression data from atopic dermatitis induced NC/Nga mouse model skin

Project description:We identified zinc-alpha-2-glycoprotein (ZAG), a 41-kDa adipokine that regulates body weight, lipid, and mobilization, as a novel biomarker for AD. ZAG levels were consistently decreased in sera, T cells, and skin in human AD patients compared with healthy controls. We used microarrays to obtain the change of signaling molecules by topical treatment of recombinant ZAG using atopic dermatitis induced mouse model.

2019-01-03 | GSE124550 | GEO

Gene expression data from atopic dermatitis induced NC/Nga mouse model skin

Project description:Gene expression data from atopic dermatitis induced NC/Nga mouse model skin

| PRJNA512476 | ENA

Identification of Pre-Disease State in NC/Nga Mice with Atopic dermatitis-like Symptoms using Dynamical Network Biomarkers

Project description:Atopic dermatitis (AD) is a common skin disease worldwide characterized by itchy eczema that undergoes cycles of exacerbation and remission. While several biomarkers reflect AD severity, reliable markers for predicting disease onset and recurrence remain unclear. The dynamical network biomarker (DNB) theory, which detects pre-disease states, or pre-symptomatic states by analyzing characteristic network fluctuations just before phase transitions from healthy states to disease states. To investigate the applicability of DNB theory to AD, we conducted blood transcriptome analysis in NC/Nga mice before and after the onset of AD-like dermatitis. We identified 356 DNB genes whose temporal fluctuations enabled the detection of the pre-disease state preceding AD-like dermatitis onset. These genes were significantly enriched in pathways related to endoplasmic reticulum stress and apoptosis; fluctuations in these pathways may be associated with the onset of AD. Our study indicates that the DNB theory may be applicable to AD and that identifying a pre-disease state may enable early intervention and disease prevention. Collectively, this approach could provide valuable insights into maintaining long-term remission and improving AD management strategies.

2025-09-09 | GSE295168 | GEO

Dietary Grape Against Atopic Dermatitis in NC/NgaTndCrlj Mice: Proteomics Analysis

Project description:The study demonstrates the effects of dietary grape powder against atopic dermatitis in 2,4-dinitrofluorobenzene-induced atopic dermatitis in NC/NgaTndCrlj mice. To uncover molecular mechanism(s) of biological responses of grape powder, dorsal skin samples from normal control (noAD), atopic dermatitis control (ctlAD) and 5% grape powder (5GP) prevention groups were analyzed using gel-free quantitative global proteomics analysis at the School of Pharmacy Analytical Instrumentation Facility, University of Wisconsin–Madison. Briefly, sample proteins (20 micrograms) were digested with 1 microgram sequencing grade trypsin and analyzed by nano-LC/MS/MS. The data were searched against the Swiss-Prot mouse proteome database using the Sequest HT search engine in the Proteome Discoverer 1.4 software, and data were aligned using the ChromAlign algorithm. Quantitation of peptides was performed on processed data using SIEVE 2.1 (ThermoFisher Scientific).

2022-11-09 | MSV000090686 | MassIVE

RNASeq of skin tissues by Mesenchymal stem cells treatment on DNCB induced mice model

Project description:Evaluate the therapeutic effects of different delivery route of MSC treantment in DNCB induced atopic dermatitis mice model.

2023-05-01 | GSE209704 | GEO

RNASeq of blood by Mesenchymal stem cells treatment on DNCB induced mice model

Project description:Evaluate the therapeutic effects of different delivery route of MSC treantment in DNCB induced atopic dermatitis mice model.

2023-05-01 | GSE209517 | 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

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

Genome-wide analysis of gene expression in the cervical spinal cord of a mouse model of atopic dermatitis

Project description:Genome-wide analysis of gene expression in the cervical spinal cord of atopic dermatitis model mice was performed. Results provide important information for understanding of molecular mechanisms of the symptoms of atopic dermatitis.

2015-07-17 | GSE70114 | GEO

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

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