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Open AccessArticle

Profiling of RNAs from Human Islet-Derived Exosomes in a Model of Type 1 Diabetes

1
Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
2
Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
3
Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
4
Richard L. Roudebush VA Medical Center, Indianapolis, IN 46202, USA
5
Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, USA
*
Author to whom correspondence should be addressed.
Current affiliation: Department of Medicine and the Kovler Diabetes Center, University of Chicago, Chicago, IL 60637, USA.
Int. J. Mol. Sci. 2019, 20(23), 5903; https://doi.org/10.3390/ijms20235903
Received: 5 November 2019 / Revised: 18 November 2019 / Accepted: 21 November 2019 / Published: 25 November 2019
(This article belongs to the Special Issue Pancreatic Islet Cell Biology and Islet Cell Development)
Type 1 diabetes (T1D) is characterized by the immune-mediated destruction of insulin-producing islet β cells. Biomarkers capable of identifying T1D risk and dissecting disease-related heterogeneity represent an unmet clinical need. Toward the goal of informing T1D biomarker strategies, we profiled coding and noncoding RNAs in human islet-derived exosomes and identified RNAs that were differentially expressed under proinflammatory cytokine stress conditions. Human pancreatic islets were obtained from cadaveric donors and treated with/without IL-1β and IFN-γ. Total RNA and small RNA sequencing were performed from islet-derived exosomes to identify mRNAs, long noncoding RNAs, and small noncoding RNAs. RNAs with a fold change ≥1.3 and a p-value <0.05 were considered as differentially expressed. mRNAs and miRNAs represented the most abundant long and small RNA species, respectively. Each of the RNA species showed altered expression patterns with cytokine treatment, and differentially expressed RNAs were predicted to be involved in insulin secretion, calcium signaling, necrosis, and apoptosis. Taken together, our data identify RNAs that are dysregulated under cytokine stress in human islet-derived exosomes, providing a comprehensive catalog of protein coding and noncoding RNAs that may serve as potential circulating biomarkers in T1D. View Full-Text
Keywords: islet-derived exosomes; mRNA; long noncoding RNA; small noncoding RNA; total RNA sequencing; small RNA sequencing islet-derived exosomes; mRNA; long noncoding RNA; small noncoding RNA; total RNA sequencing; small RNA sequencing
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MDPI and ACS Style

Krishnan, P.; Syed, F.; Jiyun Kang, N.; G. Mirmira, R.; Evans-Molina, C. Profiling of RNAs from Human Islet-Derived Exosomes in a Model of Type 1 Diabetes. Int. J. Mol. Sci. 2019, 20, 5903. https://doi.org/10.3390/ijms20235903

AMA Style

Krishnan P, Syed F, Jiyun Kang N, G. Mirmira R, Evans-Molina C. Profiling of RNAs from Human Islet-Derived Exosomes in a Model of Type 1 Diabetes. International Journal of Molecular Sciences. 2019; 20(23):5903. https://doi.org/10.3390/ijms20235903

Chicago/Turabian Style

Krishnan, Preethi; Syed, Farooq; Jiyun Kang, Nicole; G. Mirmira, Raghavendra; Evans-Molina, Carmella. 2019. "Profiling of RNAs from Human Islet-Derived Exosomes in a Model of Type 1 Diabetes" Int. J. Mol. Sci. 20, no. 23: 5903. https://doi.org/10.3390/ijms20235903

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