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Top-ranked expressed genes in human pancreatic islets: a bioinformatic analysis
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Hamed Dabiri   , Majid Sadeghizadeh * , Vahab Ziaei , Zahra Moghadasi |
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Abstract: (235 Views) |
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 10 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 10 individual samples of microarray chips such as signal intensity and uniformity of the images were passed. From 336 genes, 284 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 500 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. |
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| Keywords: Microarray data analysis, Islets of Langerhans, Gene expression profile |
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Full-Text [PDF 710 kb]
(46 Downloads)
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Type of Study: Research |
Subject:
Gene expression
Received: 2022/09/2 | Accepted: 2022/10/10 | Published: 2022/11/29
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