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Global transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism

ABSTRACT: Global transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism

PROVIDER: PRJNA217407 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR957884_1.fastq.gz	Fastqsanger.gz
	SRR957884_2.fastq.gz	Fastqsanger.gz
	SRR957885_1.fastq.gz	Fastqsanger.gz
	SRR957885_2.fastq.gz	Fastqsanger.gz
	SRR957886_1.fastq.gz	Fastqsanger.gz

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Global transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism [expression array]

Project description:Here we harnessed the potential of expression arrays in 89 human pancreatic islet donors (different levels of blood glucose (HbA1c)) to identify genes regulated in this relevant tissue for type 2 diabetes (T2D). Islets from cadaver donors were provided by the Nordic Islet Transplantation Programme (www.nordicislets.org), Uppsala University. The microarrays were performed using GeneChipM-BM-. Human Gene 1.0 ST whole transcript according to Affymetrix standard protocol.

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Expression data from fresh and cultured islets at different glucose concentrations

Project description:M-NM-2-cell identity is determined by tightly regulated transcriptional networks that are modulated by extracellular cues, thereby ensuring M-NM-2-cell adaptation to the organismM-bM-^@M-^Ys insulin demands. We have observed in pancreatic islets that stimulatory glucose concentrations induced a gene profile that was similar to that of freshly isolated islets, indicating that glucose-elicited cues are involved in maintaining M-NM-2-cell identity. Low glucose induces the expression of ubiquitous genes involved in stress responses, nutrient sensing, and organelle biogenesis. By contrast, stimulatory glucose concentrations activate genes with a more restricted expression pattern (M-NM-2- and neuronal- cell identity). Consistently, glucose-induced genes are globally reduced in islets deficient with Hnf1a (MODY3), characterized by a deficient glucose metabolism. Of interest, a cell cycle gene module was the most enriched among the variable genes between intermediate and stimulatory glucose concentrations. Glucose regulation of the islet transcriptome was unexpectedly broadly maintained in islets from aged mice. However, the cell cycle gene module is selectively lost in old islets and the glucose activation of this module is not recovered even in the absence of the cell cycle inhibitor p16. We used microarrays to detail the global programme of gene expression regulated by glucose in young and aged pancreatic islets as well as freshly-isolated islets. Pancreatic islets from young and old mice were isolated and cultured at different glucose concentrations for RNA extraction and hybridization on Affymetrix microarrays. Islets were cultured at 3mM (G3), 5.5mM (G5), 11mM (G11) and 16mM (G16). Freshly-isolated islets (F) were also processed for RNA extraction . We also assessed the dynamic glucose regulation of gene expression at different time-points after an overnight at 3mM (T0): after 1h at 11mM (T1) and after 4h (T4).

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Global genomic and transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism.

Project description:Genetic variation can modulate gene expression, and thereby phenotypic variation and susceptibility to complex diseases such as type 2 diabetes (T2D). Here we harnessed the potential of DNA and RNA sequencing in human pancreatic islets from 89 deceased donors to identify genes of potential importance in the pathogenesis of T2D. We present a catalog of genetic variants regulating gene expression (eQTL) and exon use (sQTL), including many long noncoding RNAs, which are enriched in known T2D-associated loci. Of 35 eQTL genes, whose expression differed between normoglycemic and hyperglycemic individuals, siRNA of tetraspanin 33 (TSPAN33), 5'-nucleotidase, ecto (NT5E), transmembrane emp24 protein transport domain containing 6 (TMED6), and p21 protein activated kinase 7 (PAK7) in INS1 cells resulted in reduced glucose-stimulated insulin secretion. In addition, we provide a genome-wide catalog of allelic expression imbalance, which is also enriched in known T2D-associated loci. Notably, allelic imbalance in paternally expressed gene 3 (PEG3) was associated with its promoter methylation and T2D status. Finally, RNA editing events were less common in islets than previously suggested in other tissues. Taken together, this study provides new insights into the complexity of gene regulation in human pancreatic islets and better understanding of how genetic variation can influence glucose metabolism.

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Global transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

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