Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Analysis of intestinal flora in patients with moderate and severe psoriasis vulgaris

PROVIDER: PRJNA1014805 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR25995400_1.fastq.gz	Fastqsanger.gz
	SRR25995400_2.fastq.gz	Fastqsanger.gz
	SRR25995401_1.fastq.gz	Fastqsanger.gz
	SRR25995401_2.fastq.gz	Fastqsanger.gz
	SRR25995402_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 362

Similar Datasets

E-GEOD-30999

Project description:Expression data from skin biopsy samples from patients with moderate-to-severe psoriasis

2025-01-24 | E-GEOD-30999 | ExpressionAtlas

Expression data from skin biopsy samples from patients with moderate-to-severe psoriasis

Project description:A gene expression profiling sub-study was conducted in which skin biopsy samples were collected from 85 patients with moderate-to-severe psoriasis who were participating in ACCEPT, an IRB-approved Phase 3, multicenter, randomized trial. This analysis identified 4,175 probe-sets as being significantly modulated in psoriasis lesions (LS) compared with matched biopsies of non-lesional (NL) skin. Skin biopsy samples (n=170) were collected at baseline for RNA extraction and microarray analysis from 85 patients with moderate-to-severe psoriasis without receiving active psoriasis therapy.

2012-07-25 | E-GEOD-30999 | biostudies-arrayexpress

The spectrum of mild-to-severe psoriasis vulgaris is defined by a common activation of IL-17 pathway genes, but with key differences in immune regulatory genes

Project description:Mild vs. severe psoriasis vulgaris is often distinguished by the Psoriasis Area and Severity Index. It is widely assumed that severe psoriasis involves higher levels of skin inflammation, but comparative molecular profiles of mild vs. severe disease have not been previously performed. In this study, we used gene arrays to phenotype North American patients with mild psoriasis vs. severe psoriasis.

2017-02-19 | GSE78097 | GEO

Guselkumab (interleukin-23-specific monoclonal antibody) demonstrates clinical and molecular response in moderate-to-severe psoriasis

Project description:A gene expression profiling study was conducted in which skin biopsy samples were collected for RNA extraction and hybridization to microarrays from patients with moderate-to-severe psoriasis who participated in the phase 1, guselkumab first-in-human randomized, double-blind, placebo-controlled trial. At week 12, significant reductions in psoriasis gene expression were observed in guselkumab-treated patients. Skin biopsy samples (n=59, LS: lesion, NL: non-lesion) were collected at baseline, weeks 1 and 12 following guselkumab treatment from patients with moderate-to-severe psoriasis for RNA extraction and microarray analysis.

2014-05-14 | E-GEOD-51440 | biostudies-arrayexpress

E-GEOD-63142

Project description:Transcription profiling by array of bronchial epithelial cells from severe asthmatic, mild-moderate asthmatic and non-asthmatic patients

2025-01-24 | E-GEOD-63142 | ExpressionAtlas

Cross-sectional study of proteomic differences between moderate and severe psoriasis

Project description:Background: Although there is an ongoing understanding of psoriasis vulgaris (PV) pathogenesis, little is known about the proteomic diversity of psoriatic lesions between moderate and severe psoriasis. Objective: To evaluate the proteomic differences between moderate and severe psoriasis and determine biomarkers associated with disease severity. Methods: In this cross-sectional study, we report a proteomic analysis of psoriatic lesions from patients with severe PV (sPV group, n=7) using data-independent acquisition mass spectrometry (DIA-MS), as compared with patients with moderate psoriasis (mPV group, n=8). Results: 173 differentially expressed proteins (DEPs) were significantly differentially expressed between the sPV and mPV groups. Among them, 85 proteins were upregulated, while 88 were downregulated (FC ≥±1.5, P <0.05). Eighteen DEPs were mainly enriched in the IL−17 signalling pathway, Neutrophil extracellular trap formation, Neutrophil degranulation and NF−kappa B signalling pathway, which were associated with psoriasis pathogenesis. Ingenuity pathway (IPA) analysis identified TNF and TDP53 as the top upstream up-regulators, while Lipopolysaccharide and YAP1 were the top potential down-regulators. The main active pathways were antimicrobial peptides and PTEN signalling, while the inhibitory pathways were the neutrophil extracellular trap pathway, neutrophil degranulation, and IL-8 signalling. 4D-parallel reaction monitoring (4D-PRM) analysis suggested that KRT6A were downregulated in sPV.

2024-06-06 | PXD052886 |

Ixekizumab treatment of patients with moderate-to-severe plaque psoriasis.

Project description:Ixekizumab treatment of patients with moderate-to-severe plaque psoriasis.

| PRJNA737931 | ENA

Expression data from skin biopsy samples from patients with moderate-to-severe psoriasis

2012-07-26 | GSE30999 | GEO

Personalized medicine in psoriasis: developing a genomic classifier to predict histological response to Alefacept

Project description:Alefacept treatment is highly effective in a select group patients with moderate-to-severe psoriasis, and is an ideal candidate to develop systems to predict who will respond to therapy. A clinical trial of 22 patients with moderate to severe psoriasis treated with alefacept (7.5mg weekly i.v. x12 weeks) was conducted in 2002-2003, as a mechanism of action study. Patients were classified as responders or non-responders to alefacept based on histological criteria. Microarray data from PBMCs of 16 of these patients was analyzed to generate a treatment response classifier. We used a discriminant analysis method that performs sample classification from gene expression data, via nearest shrunken centroid method''. A disease response classifier using 23 genes was created to accurately predict response to alefacept (12.3% error rate in favour of responders). This preliminary study may provide a useful tool to predict response of psoriatic patients with alefacept. Keywords: class prediction Microarray data from 16 patients was analyzed to generate a treatment response classifier. We used a discriminant analysis method that performs sample classification from gene expression data, via nearest shrunken centroid method.

2010-10-02 | E-GEOD-18948 | biostudies-arrayexpress

E-GEOD-41663

Project description:Re-analysis by microarray using cDNA target of samples from psoriasis patients enrolled in an etanercept trial

2025-01-24 | E-GEOD-41663 | ExpressionAtlas