Unknown,Transcriptomics,Genomics,Proteomics

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Laser capture microdissection followed by next-generation sequencing identifies disease-related microRNAs in psoriatic skin that mirror the systemic psoriatic miRNome

ABSTRACT: Psoriasis is a systemic disease with cutaneous manifestations. MicroRNAs (miRNAs) are non-coding RNA molecules that are differentially expressed in psoriatic skin, however; only few miRNAs have been localized to specific cells or regions of psoriatic lesions. We used laser capture microdissection (LCM) and next-generation sequencing to study the specific miRNA expression profiles in the epidermis (Epi) and dermal inflammatory aggregates (RD/ICs) of psoriatic skin. We identified 24 deregulated miRNAs in the Epi and 37 deregulated miRNAs in the RD/ICs of lesional psoriatic skin compared with non-lesional psoriatic skin (FCH>2, FDR<0.05). Interestingly, 9 of the 37 miRNAs, including miR-193b and miR-223 that have recently been described as deregulated in circulating peripheral blood mononuclear cells (PBMCs) from patients with psoriasis. Using flow cytometry and qRT-PCR, miR-193b and miR-223 were found to be expressed in Th17 cells. In conclusion, we demonstrate that LCM combined with small RNA sequencing provides a robust strategy to explore the global miRNA expression in the epidermal and dermal compartments of psoriatic skin. Furthermore, our results indicate that the altered local miRNA changes seen in the RD/ICs is reflected in the circulating immune cells, altogether emphasizing that miRNAs may contribute to a systemic component in the pathogenesis of psoriasis. Examination of the global miRNA expression in epidermis (Epi) and dermis (RD/ICs) of paired (non-lesional vs. lesional) psoriatic skin using a combination of laser-capture microdissection and barcoded small RNA sequencing

ORGANISM(S): Homo sapiens

SUBMITTER: Miguel Brown

PROVIDER: E-GEOD-57012 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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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.

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Laser capture microdissection followed by next-generation sequencing identifies disease-related microRNAs in psoriatic skin that mirror the systemic psoriatic miRNome

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