Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of human skin from psoriatic patients and normal controls

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Goncalo Abecasis

PROVIDER: E-GEOD-13355 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Genome-wide expression profiling of five mouse models identifies similarities and differences with human psoriasis.

Swindell William R WR Johnston Andrew A Carbajal Steve S Han Gangwen G Wohn Christian C Lu Jun J Xing Xianying X Nair Rajan P RP Voorhees John J JJ Elder James T JT Wang Xiao-Jing XJ Sano Shigetoshi S Prens Errol P EP DiGiovanni John J Pittelkow Mark R MR Ward Nicole L NL Gudjonsson Johann E JE

PloS one 20110404 4

Development of a suitable mouse model would facilitate the investigation of pathomechanisms underlying human psoriasis and would also assist in development of therapeutic treatments. However, while many psoriasis mouse models have been proposed, no single model recapitulates all features of the human disease, and standardized validation criteria for psoriasis mouse models have not been widely applied. In this study, whole-genome transcriptional profiling is used to compare gene expression patter ...[more]

PMID: 21483750

Publication: 1/2

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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.

Dataset Information

Transcription profiling of human skin from psoriatic patients and normal controls

Publications

Genome-wide expression profiling of five mouse models identifies similarities and differences with human psoriasis.

Similar Datasets

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