Title: Bioinformatics analysis of geo datasets for identifying pathways and hub genes in psoriasis

Authors: Masufa Tarannum; Ratna Priya; Shweta Pandey; Buddhi Prakash Jain

Addresses: Department of Zoology, Mahatma Gandhi Central University, Motihari Bihar, India ' Department of Zoology, Mahatma Gandhi Central University, Motihari Bihar, India ' Department of Biotechnology, Government VYT Post Graduate Autonomous College Durg, Chhattisgarh 491001, India ' Department of Zoology, Mahatma Gandhi Central University, Motihari Bihar, India

Abstract: Psoriasis is one of the inflammatory skin diseases where skin cells divide at a faster rate. The present study aims to perform mRNA analysis of geo datasets GSE166388. The differentially expressed genes (DEGs) were selected and gene ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway enrichment analyses by DAVID were performed. mRNA functional enrichment was also done using FunRich. Protein-protein interaction (PPI) was done using STRING and hub genes were found out by Cytoscape. A total 19 up and four downregulated genes were found in the geo datasets. These genes participate in two KEGG pathways; glutathione metabolism (RRM2, CHAC2), and Pyrimidine metabolism (RRM2, CMPK2). PPI analysis and hub genes identifications by STRING and Cytoscape identified 11 hub genes in two modules. The study suggests that these pathways and involved genes could be promising therapeutic targets in Psoriasis treatment.

Keywords: psoriasis; functional enrichment; gene ontology; geo datasets; protein-protein interaction; PPI; hub genes; differentially expressed genes; DEGs.

DOI: 10.1504/IJBRA.2023.133703

International Journal of Bioinformatics Research and Applications, 2023 Vol.19 No.3, pp.186 - 199

Received: 22 Dec 2022
Accepted: 02 Jun 2023
Published online: 29 Sep 2023 *

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