Changes in the hormone producing pancreatic islet cells are culprits in the development of diabetes, and these changes are often reflected by changes in expression of key genes. Analysis of such changes require advanced bioinformatics tools that can translate the process into simple visible information.To achieve these goals we have developed a tool called Islet Gene View (IGW), that aims to make information on gene expression in human pancreatic islets from organ donors easily accessible to the scientific community. Islet Gene View currently consists of information on islets from 188 donors where data on RNA expression of more than 15 000 genes can be related to phenotypic information (gender, age, BMI, HbA1c, insulin and glucagon secretion etc.). Also this information can be related to expression other genes and how gene expression is regulated by genetic variants(so called eQTLs, expression Quantitative Traits) The data will be accessible thorugh the easy-to-use Islet Gene View web application.2
Significance StatementWe present Islet Gene View (IGW), a web resource that aims to make information on gene expression in human pancreatic islets from organ donors easily accessible to the scientific community. In IGW, we leveraged global RNA expression data from 191 donor-islets to understand their relationship with islet phenotypes such as gender, age, BMI, HbA1c, insulin and glucagon secretion as well as with islet hormones coding genes. GWAS based on European studies have shown that 403 genetic variants associate with T2D risk however the target genes and function in islets are largely unknown. We linked T2D risk variants to gene expression in islets and further functionally report if their expression is modulated in relation to T2D status and other related features.3