1st International and 10th National Iranian Conference on Bioinformatics
Home Accepted Papers
Determination of biomarkers and hub genes of psoriasis disease ; a bioinformatics datasets analysis
Paper ID : 1012-ICB10
Authors:
Zarrin Minuchehr1, Eqbal Mohamadi *2
1National Institute of Genetic Engineering and Biotechnology
2Biomaterial depth,Industrial & environmental faculty, national institute of genetic engineering and biotechnology, Tehran,Iran
Abstract:
Psoriasis, a chronic self-inflammatory disease that affects about 3% of adults worldwide, shows diverse phenotypical and pathological symptoms such as skin plaques and joint lesions with adverse physical and psychological effects in patients. The disease has a complex immunogenetic mechanism. So novel studies thanks to high-throughput technologies and tools in the diverse layers of omics led to identification of the main biomarkers of the disease. This outcomes promising application of the results in the clinical field aiming early diagnosis and precise treatment of the disease. In this study, we analyzed several GEO datasets from the NCBI website, searching for psoriasis skin disease keywords. Firstly, we set the effective DEGs that had a higher relative expression in the disease, furthermore, the major hub genes related to the disease, including ccl20, IL-17, IL-8 were determined. Afterwards, using the STRING enrichment analyzing tool, the predicted protein-protein interactions (PPI) were identified. Furthermore, using the KEGG database, the molecular pathways of the biomarkers and their functional role, determined. The results of this study can be used in the design of ligands and drugs for drug delivery purposes alongside the therapeutic studies of inflammation in psoriasis.
Keywords:
Keywords: Psoriasis, Biomarkers, DEGs, STRING, Hub genes, Inflammation
Status : Paper Accepted (Poster Presentation)