Temporal Transcriptomic and Proteomic Landscapes of Deteriorating Pancreatic Islets in Type 2 Diabetic Rats

Abstract

Progressive reduction in β-cell mass and function comprise the core of the pathogenesis mechanism of type 2 diabetes. The process of deteriorating pancreatic islets, in which a complex network of molecular events is involved, is not yet fully characterized. We used RNA sequencing and tandem mass tag–based quantitative proteomics technology to measure the temporal mRNA and protein expression changes of pancreatic islets in Goto-Kakizaki (GK) rats from 4 to 24 weeks of age. Our omics data set outlines the dynamics of the molecular network during the deterioration of GK islets as two stages: The early stage (4–6 weeks) is characterized by anaerobic glycolysis, inflammation priming, and compensation for insulin synthesis, and the late stage (8–24 weeks) is characterized by inflammation amplification and compensation failure. Further time course analysis allowed us to reveal 5,551 differentially expressed genes, a large portion of which have not been reported before. Our comprehensive and temporal transcriptome and proteome data offer a valuable resource for the diabetes research community and for quantitative biology.