Gene Expression Nebulas
A data portal of transcriptomic profiles analyzed by a unified pipeline across multiple species

Gene Expression Nebulas

A data portal of transcriptome profiles across multiple species

PRJNA481993: RNA-seq and flow-cytometry of conventional, scalp, and palmoplantar psoriasis reveal shared and distinct molecular pathways

Source: NCBI / GSE117405
Submission Date: Jul 19 2018
Release Date: Jul 20 2018
Update Date: Jul 20 2018

Summary: It has long been recognized that anatomic location is an important feature for defining distinct subtypes of plaque psoriasis. However, little is known about the molecular differences between scalp, palmoplantar, and conventional plaque psoriasis. To investigate the molecular heterogeneity of these psoriasis subtypes, we performed RNA-seq and flow cytometry on skin samples from individuals with scalp, palmoplantar, and conventional plaque psoriasis, along with samples from healthy control patients. We performed differential expression analysis and network analysis using weighted gene coexpression network analysis (WGCNA). Our analysis revealed a core set of 763 differentially expressed genes common to all sub-types of psoriasis. In contrast, we identified 605, 632, and 262 genes uniquely differentially expressed in conventional, scalp, and palmoplantar psoriasis, respectively. WGCNA and pathway analysis revealed biological processes for the core genes as well as subtype-specific genes. Flow cytometry analysis revealed a shared increase in the percentage of CD4+ T regulatory cells in all psoriasis subtypes relative to controls, whereas distinct psoriasis subtypes displayed differences in IL-17A, IFN-gamma, and IL-22 production. This work reveals the molecular heterogeneity of plaque psoriasis and identifies subtype-specific signaling pathways that will aid in the development of therapy that is appropriate for each subtype of plaque psoriasis.

Overall Design: Transcriptomic profiles were obtained from palmoplantar (n = 3), scalp (n = 8), and conventional psoriatic skin (n = 8) as well as healthy control skin (n = 9) biopsies on the Illumina HiSeq 2000/4000 platforms. Multi-parameter FACS was also performed on each biopsy sample to obtain T cell populations (CD4+ T effectors, CD8+ T cells, and CD4+Foxp3+ Tregs).

GEN Datasets:
GEND000016
Strategy:
Species:
Tissue:
Healthy Condition:
Protocol
Growth Protocol: -
Treatment Protocol: -
Extract Protocol: RNA was extracted from one 4-mm punch biopsy specimen for bulk RNA sequencing with the Qiagen Allprep DNA/RNA mini kit.
Library Construction Protocol: Samples that passed quality control underwent library preparation using the Ovation RNA-Seq System V2 protocol (Nugen) or the Ribozero (Illumina) kits.
Sequencing
Molecule Type: poly(A)+ RNA
Library Source:
Library Layout: PAIRED
Library Strand: Forward; -
Platform: ILLUMINA
Instrument Model: Illumina HiSeq 2000; Illumina HiSeq 4000
Strand-Specific: Specific; Unspecific
Samples
Basic Information:
Sample Characteristic:
Biological Condition:
Experimental Variables:
Protocol:
Sequencing:
Assessing Quality:
Analysis:
Data Resource GEN Sample ID GEN Dataset ID Project ID BioProject ID Sample ID Sample Name BioSample ID Sample Accession Experiment Accession Release Date Submission Date Update Date Species Race Ethnicity Age Age Unit Gender Source Name Tissue Cell Type Cell Subtype Cell Line Disease Disease State Development Stage Mutation Phenotype Case Detail Control Detail Growth Protocol Treatment Protocol Extract Protocol Library Construction Protocol Molecule Type Library Layout Strand-Specific Library Strand Spike-In Strategy Platform Instrument Model Cell Number Reads Number Gbases AvgSpotLen1 AvgSpotLen2 Uniq Mapping Rate Multiple Mapping Rate Coverage Rate
Publications
RNA-seq and flow-cytometry of conventional, scalp, and palmoplantar psoriasis reveal shared and distinct molecular pathways.
Scientific reports . 2018-07-27 [PMID: 30054515]
Androgen signaling uses a writer and a reader of ADP-ribosylation to regulate protein complex assembly.
Nature communications . 2021-05-11 [PMID: 33976187]