Dataset Information

Proteomic profiles of Rat Pancreatic Islets

ABSTRACT: In this study, we achieved integrated transcriptomic and proteomic profiles of GK islets in a time-course fashion at different stages of T2D. Subsequent bioinformatics analysis revealed the chronological order of T2D-related molecular events during the deterioration of pancreatic islets. Our large quantitative dataset provide a valuable resource to obtain a comprehensive picture of the mechanisms responsible for islet dysfunction and to identify potential interventions to prevent beta-cell failure in human T2D.

OTHER RELATED OMICS DATASETS IN: PRJNA322601

INSTRUMENT(S): Q Exactive

ORGANISM(S): Rattus Norvegicus (rat)

DISEASE(S): Type 2 Diabetes Mellitus

SUBMITTER: JUNJIE HOU

LAB HEAD: TAO XU

PROVIDER: PXD004709 | Pride | 2017-06-02

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	20140729_TMT_Islets_WST_f10_01.raw	Raw
	20140729_TMT_Islets_WST_f10_02.raw	Raw
	20140729_TMT_Islets_WST_f11_01.raw	Raw
	20140729_TMT_Islets_WST_f11_02.raw	Raw
	20140729_TMT_Islets_WST_f12_01.raw	Raw

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Publications

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

Hou Junjie J Li Zonghong Z Zhong Wen W Hao Qiang Q Lei Lei L Wang Linlin L Zhao Dongyu D Xu Pingyong P Zhou Yifa Y Wang You Y Xu Tao T

Diabetes 20170530 8

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 outl ...[more]

PMID: 28559245

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