Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

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

ORGANISM(S): Mus musculus

PROVIDER: GSE209704 | GEO | 2023/05/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

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

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

RNAseq analysis of total skin from control or JunBdep mice

Project description:RNA was isolated from total skin of control or JunBdep mice at 6-7 months of age when the skin of mutant mice resemble Atopic Dermatitis.

2019-10-16 | GSE136657 | 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

RNAseq of human buttock skin from healthy controls exposed to solar simulated radiation

Project description:The aim of this study was to investigate cutaneous cellular and molecular events in the photodermatoses (including solar urticaria and photoaggravated atopic dermatitis) following solar simulated ultraviolet radiation (SSR) exposure, and this dataset comprised the healthy controls (HC). Cutaneous biopsies were taken from unexposed skin and from skin exposed to a single low (physiological) dose of SSR, at 30 minutes, 3 hours, 24 hours and 72 hours post-exposure, in n=6 HC. Biopsies were assessed by immunohistochemistry (n=6 HC) and RNA-sequencing analysis (n=4 HC).

2024-03-18 | E-MTAB-12218 | biostudies-arrayexpress

human skin metagenome

Project description:human skin metagenome in Atopic Dermatitis

| PRJNA482046 | ENA

Skin Microbiome in Atopic Dermatitis

Project description:Skin Microbiome in Atopic Dermatitis

| PRJEB21789 | ENA

Effect of RGRN-305 on MC903-induced skin inflammation in mice

Project description:The aim was to demonstrate that RGRN-305 suppresses MC903-induced atopic dermatitis like-alterations in gene expression.

2023-12-31 | GSE246569 | GEO

skin metagenome

Project description:Human and murine skin microbiota of atopic dermatitis

| PRJDB9921 | 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

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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