Dataset Information

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

ABSTRACT: Progressive reductions in β-cell mass and function comprise the core of the pathogenesis mechanism leading to type 2 diabetes (T2D). To understand the molecular events in this process, we quantified the temporal transcriptome and proteome of pancreatic islets from Goto-Kakizaki (GK) rats at different stages of diabetes. Integrated omics analysis allowed us to unravel the chronological order of T2D-related molecular events during GK islet deterioration. Two major events occur early in the disease, specifically, a reduction in β-cell mass caused by defective neogenesis and senescence-related low proliferation, and metabolic shift caused by mitochondrial dysfunction. Furthermore, our data revealed the evolution of compensation failure in GK islets and two distinct stages of islet inflammation: priming and amplification. Our study offers a valuable resource for the diabetes research community and will facilitate further studies aimed at protecting β-cell mass and function.

ORGANISM(S): Rattus norvegicus

PROVIDER: GSE81811 | GEO | 2017/12/22

SECONDARY ACCESSION(S): PRJNA322601

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Recent advances in the understanding of the genetics of type 2 diabetes (T2D) susceptibility have focused attention on the regulation of transcriptional activity within the pancreatic beta-cell. MicroRNAs (miRNAs) represent an important component of regulatory control, and have proven roles in the development of human disease and control of glucose homeostasis. We set out to establish the miRNA profile of human pancreatic islets and of enriched beta-cell populations, and to explore their potential involvement in T2D susceptibility. We used Illumina small RNA sequencing to profile the miRNA fraction in three preparations each of primary human islets and of enriched beta-cells generated by fluorescence-activated cell sorting. In total, 366 miRNAs were found to be expressed (i.e. >100 cumulative reads) in islets and 346 in beta-cells; of the total of 384 unique miRNAs, 328 were shared. A comparison of the islet-cell miRNA profile with those of 15 other human tissues identified 40 miRNAs predominantly expressed (i.e. >50% of all reads seen across the tissues) in islets. Several highly-expressed islet miRNAs, such as miR-375, have established roles in the regulation of islet function, but others (e.g. miR-27b-3p, miR-192-5p) have not previously been described in the context of islet biology. As a first step towards exploring the role of islet-expressed miRNAs and their predicted mRNA targets in T2D pathogenesis, we looked at published T2D association signals across these sites. We found evidence that predicted mRNA targets of islet-expressed miRNAs were globally enriched for signals of T2D association (p-values <0.01, q-values <0.1). At six loci with genome-wide evidence for T2D association (AP3S2, KCNK16, NOTCH2, SCL30A8, VPS26A, and WFS1) predicted mRNA target sites for islet-expressed miRNAs overlapped potentially causal variants. In conclusion, we have described the miRNA profile of human islets and beta-cells and provide evidence linking islet miRNAs to T2D pathogenesis. Examination of the miRNA profiles in 3 preparations of isolated pancreatic islets and 3 preparations of FACS-enriched pancreatic beta-cells

Dataset Information

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure