Top-ranked expressed genes in human pancreatic islets: a bioinformatic analysis

Background:  The Islets of Langerhans include Alpha, Beta, Delta, and Epsilon cells whose secret hormones play important roles in glucose metabolism as well as some physiological processes in our own body. Method: In this study, we selected a microarray row data of transplanted pancreatic Islets from Gene Expression Omnibus (GEO) database. The row data of ۱۰ individual samples was analyzed with R programing software. Top expressed genes in human pancreatic islets were chosen and the gene stable IDs were returned to gene names and descriptions by BioMart tools. The selected genes were categorized into biological processes by Protein Analysis Through Evolutionary Relationships (PANTHER) online database. Also, sub-cellular localization of their proteins was investigated by the protein atlas database. Results: The results showed that the quality controls of all ۱۰ individual samples of microarray chips such as signal intensity and uniformity of the images were passed. From ۳۳۶ genes, ۲۸۴ proteins were classified by PANTHER online database. They are categorized into “Translational proteins”, “Metabolism enzymes”, and “Protein modifying enzymes” biological processes, respectively. Conclusion: In this study, we presented ۵۰۰ top-ranked expressed genes in human pancreatic islets. We also represented calcification and sub-cellular localization of these high expressed genes in separate supplementary files. Research data can be used for pancreatic research as well as potential drug design for type I diabetes or pancreatic cancers.

کلیدواژه ها:

Microarray data analysis ، Islets of Langerhans ، Gene expression profile