Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Lipidomics in AD and ACNE

ABSTRACT: Shotgun-lipidomics reveals disease specific microbiome-lipid correlations in acne vulgaris and atopic dermatitis

PROVIDER: PRJEB66070 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR12050200_1.fastq.gz	Fastqsanger.gz
	ERR12050200_2.fastq.gz	Fastqsanger.gz
	ERR12050201_1.fastq.gz	Fastqsanger.gz
	ERR12050201_2.fastq.gz	Fastqsanger.gz
	ERR12050202_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 222

Similar Datasets

Potential Functionality of Cutibacterium acnes Extracellular Vesicles in Atopic Dermatitis and Acne Vulgaris: A Comparative Proteomic Analysis

Project description:Comparative analysis of Cutibacterium acnes extracellular vesicles proteomics from atopic dermatitis and acne vulgaris.

2023-06-03 | PXD042715 |

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

641c8b17-6b33-41c8-a60a-ec83a72e5ede - samples

Project description:Optimizing single-cell transcriptomic discrimination of atopic dermatitis versus psoriasis vulgaris

| EGAD00001011104 | EGA

Optimizing single-cell transcriptomic discrimination of atopic dermatitis versus psoriasis vulgaris

Project description:Optimizing single-cell transcriptomic discrimination of atopic dermatitis versus psoriasis vulgaris

| EGAS00001007487 | EGA

Transcription profiling of human acne lesion vs. normal skin from acne and non acne patients

Project description:The pathogenesis of acne has been linked to multiple factors such as increased sebum production, inflammation, follicular hyperkeratinization, and the action of Propionibacterium acnes within the follicle. In an attempt to understand the specific genes involved in inflammatory acne, we performed gene expression profiling in acne patients. Skin biopsies were obtained from an inflammatory papule and from normal skin in six patients with acne. Biopsies were also taken from normal skin of six subjects without acne. Gene array expression profiling was conducted using Affymetrix HG-U133A 2.0 arrays comparing lesional to nonlesional skin in acne patients and comparing nonlesional skin from acne patients to skin from normal subjects. Within the acne patients, 211 genes are upregulated in lesional skin compared to nonlesional skin. A significant proportion of these genes are involved in pathways that regulate inflammation and extracellular matrix remodeling, and they include matrix metalloproteinases 1 and 3, IL-8, human beta-defensin 4, and granzyme B. These data indicate a prominent role of matrix metalloproteinases, inflammatory cytokines, and antimicrobial peptides in acne lesions. These studies are the first describing the comprehensive changes in gene expression in inflammatory acne lesions and are valuable in identifying potential therapeutic targets in inflammatory acne. Experiment Overall Design: total 18 chips. 6 for acne lesion samples, 6 for normal skin samples, 6 for non-acne patient normal skin samples

2008-06-14 | E-GEOD-6475 | biostudies-arrayexpress

Does Acne Rash During Adolescence Predict Skin Reaction to Cetuximab

Project description:The hypothesis of this study is that patients who suffered from acne vulgaris during adolescence are at greater risk of developing acneiform skin rash due to cetuximab.

| 2108857 | ecrin-mdr-crc

The role of keratinocyte DDX5 in MC903-induced atopic dermatitis (AD) mice

Project description:To investigate whether DDX5 is involved in the development of atopic dermatitis, we performed gene expression profiling analysis using data obtained from RNA-seq of ear skins from Ddx5f/f and K14Ddx5f/f atopic dermatitis mice

2022-10-24 | GSE208669 | GEO

Acne lesion vs. normal skin. Also includes non-acne patients' normal skin samples.

2006-12-12 | GSE6475 | 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

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

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