GSE139932: Profiling of RNAs from human islet-derived exosomes in a model of type 1 diabetes

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GROUP CONDITION SAMPLES
Pancreatic islet-derived exosome
GSM4149721 GSM4149723 GSM4149725 GSM4149727 GSM4149729
GSM4149722 GSM4149724 GSM4149726 GSM4149728 GSM4149730
Description

Submission Date: Nov 05, 2019

Summary: Type 1 diabetes (T1D) is characterized by immune mediated destruction of insulin producing β cells. Biomarkers capable of identifying T1D risk and dissecting disease-related heterogeneity represent an unmet clinical need. Aims: Towards the goal of informing T1D biomarker strategies, we profiled different classes of RNAs in human islet-derived exosomes and identified RNAs that were differentially expressed under cytokine stress conditions. Human pancreatic islets were obtained from cadaveric donors and treated with/without IL-1β and IFN-γ to mimic the pro-inflammatory T1D milieu. Total RNA and small RNA sequencing were performed to identify long (mRNA and long non-coding RNAs) and different classes of small non-coding RNAs. RNAs with fold change ≥ 1.3 and p-value < 0.05 were considered as differentially expressed. mRNAs and miRNAs species represented the most abundant long and small RNA species, respectively. Expression patterns of each class of RNA were changed with cytokine treatment. Differentially expressed long RNAs and targets of small non-coding RNAs were predicted to be involved in insulin secretion, calcium signaling, necrosis and apoptosis. Our data provides the first comprehensive catalog of protein coding and non-coding RNAs in human islet-derived exosomes and identifies RNAs that are dysregulated under cytokine stress.

GEO Accession ID: GSE139932

PMID: 31775218

Description

Submission Date: Nov 05, 2019

Summary: Type 1 diabetes (T1D) is characterized by immune mediated destruction of insulin producing β cells. Biomarkers capable of identifying T1D risk and dissecting disease-related heterogeneity represent an unmet clinical need. Aims: Towards the goal of informing T1D biomarker strategies, we profiled different classes of RNAs in human islet-derived exosomes and identified RNAs that were differentially expressed under cytokine stress conditions. Human pancreatic islets were obtained from cadaveric donors and treated with/without IL-1β and IFN-γ to mimic the pro-inflammatory T1D milieu. Total RNA and small RNA sequencing were performed to identify long (mRNA and long non-coding RNAs) and different classes of small non-coding RNAs. RNAs with fold change ≥ 1.3 and p-value < 0.05 were considered as differentially expressed. mRNAs and miRNAs species represented the most abundant long and small RNA species, respectively. Expression patterns of each class of RNA were changed with cytokine treatment. Differentially expressed long RNAs and targets of small non-coding RNAs were predicted to be involved in insulin secretion, calcium signaling, necrosis and apoptosis. Our data provides the first comprehensive catalog of protein coding and non-coding RNAs in human islet-derived exosomes and identifies RNAs that are dysregulated under cytokine stress.

GEO Accession ID: GSE139932

PMID: 31775218

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