Project description:Together with the GSE54456 data, we used in total RNA-seq data from 99 lesional psoriatic, 27 uninvolved psoriatic, and 90 normal skin biopsies and applied computational approaches to identify and characterize expressed lncRNAs.
Project description:Biopsies from uninvolved and from lesional skin of 13 patients with plaque-type psoriasis. Based on paired samples, 179 genes were more than 2-fold differentially expressed in lesional skin. Experiment Overall Design: Comparative RNA expression profiles from uninvolved and lesional skin of 13 patients with mild to severe plaque-type psoriasis.
Project description:Biopsies from uninvolved and from lesional skin of 13 patients with plaque-type psoriasis. Based on paired samples, 179 genes were more than 2-fold differentially expressed in lesional skin. Keywords: Comparison of uninvolved and lesional skin
Project description:Background: Plaque psoriasis is a chronic autoimmune disorder characterized by the development of red scaly plaques. To date psoriasis lesional skin transcriptome has been extensively studied, whereas only few proteomic studies of psoriatic skin are available. Aim: The aim of this study was to compare protein expression patterns of lesional and normally looking skin of psoriasis patients with skin of the healthy volunteers, reveal differentially expressed proteins and identify changes in cell metabolism caused by the disease. Methods: Skin samples of normally looking and lesional skin donated by psoriasis patients (n = 5) and samples of healthy skin donated by volunteers (n = 5) were analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). After protein identification and data processing, the set of differentially expressed proteins was subjected to protein ontology analysis to characterize changes in biological processes, cell components and molecular functions in the patients' skin compared to skin of the healthy volunteers. Results: The performed analysis identified 405 and 59 differentially expressed proteins in lesional and normally looking psoriatic skin compared to healthy control. We discovered decreased expression of KNG1, APOE, HRG, THBS1 and PLG in normally looking skin of the patients. Presumably, these changes were needed to protect the epidermis from spontaneous activation of kallikrein-kinin system and delay the following development of inflammatory response. In lesional skin, we identified several large groups of proteins with coordinated expression. Mainly, these proteins were involved in different aspects of protein and RNA metabolism, namely ATP synthesis and consumption; intracellular trafficking of membrane-bound vesicles, pre-RNA processing, translation, chaperoning and degradation in proteasomes/immunoproteasomes. Conclusion: Our findings explain the molecular basis of metabolic changes caused by disease in skin lesions, such as faster cell turnover and higher metabolic rate. They also indicate on downregulation of kallikrein-kinin system in normally looking skin of the patients that would be needed to delay exacerbation of the disease.
Project description:Gene expression has been proposed as an intermediate phenotype that can increase power in complex trait gene-mapping studies. Psoriasis, an immune-mediated, inflammatory and hyperproliferative disease of the skin and joints, provides an ideal model system to evaluate this paradigm, as conclusive evidence demonstrates that psoriasis has a genetic basis and the disease tissue is readily accessible. To better understand the complex nature of processes in psoriasis, we characterize gene expression profiles in uninvolved and involved skin from affected individuals as well as normal skin from control individuals. Experiment Overall Design: We extracted total RNA from punch biopsies taken from 58 psoriatic patients and 64 normal healthy controls. Two biopsies were taken from each patient; one 6mm punch biopsy was obtained from lesional skin of each patient (involved sample) and the other from non-lesional skin (uninvolved sample), taken at least 10 cm away from any active plaque. One biopsy was obtained from each healty control. Totally 180 samples were run on Affymetrix HU133 Plus 2.0 microarrays containing >54,000 gene probes. Experiment Overall Design: The raw data from 180 microarrays were processed using the Robust Multichip Average (RMA) method. The expression values in the table were after adjustment of RMA expression values (on the log scale) to account for batch and sex effects. Experiment Overall Design: Definition of abbreviations used in Sample records: NN = normal skin from controls; PN = uninvolved skin from cases; PP = involved skin from cases.
Project description:In this study, we sought to establish the usefulness of LCM on cDNA microarray analysis. We reported that LCM samples improved the sensitivity of detection of differentially expressed genes over conventional bulk tissue analysis. We also provided the new information of chemokine and its receptor interaction within psoriatic lesional skin. For the comparison of gene expression patterns between single and double amplification techniques, total RNA was extracted from blocks of paired lesional and non-lesional psoriatic skin biopsies from four patients. For LCM experiment, total RNA was extracted from sliced tissue sections of paired lesional and non-lesional psoriatic skin biopsies from three patients.
Project description:We report the application of Illumina small RNA sequencing to normal human skin, as well as uninvolved and involved psoriatic skin. By obtaining over 600 million qualified reads from 20 healthy controls and 47 psoriasis biopsies (uninvolved/involved), we have generated a complete small RNA profile in normal and diseased human skin, with particular emphasis on miRNAs. We report the discovery of 284 putative novel miRNAs as well as 98 differentially expressed miRNAs in psoriatic skin. miRNA discovery and expression profiling in 67 normal and psoriatic human skin biopsies
Project description:Transcriptional profiling of Homo sapiens inflammatory skin diseases (whole skin biospies): Psoriasis (Pso), vs Atopic Dermatitis (AD) vs Lichen planus (Li), vs Contact Eczema (KE), vs Healthy control (KO) In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation. In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation.