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Open AccessArticle

miR2Diabetes: A Literature-Curated Database of microRNA Expression Patterns, in Diabetic Microvascular Complications

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College of Medicine, Gachon University, Incheon 21565, Korea
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Gachon Institute of Genome Medicine and Science, Gachon University Gil Medical Center, Incheon 21565, Korea
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Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology, Gachon University, Incheon 21565, Korea
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Department of Internal Medicine, Gachon University Gil Medical Center, Incheon 21565, Korea
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Department of Internal Medicine, Gachon University School of Medicine, Incheon 21565, Korea
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Department of Life Sciences, Gachon University, Seongnam 13120, Korea
*
Authors to whom correspondence should be addressed.
Genes 2019, 10(10), 784; https://doi.org/10.3390/genes10100784
Received: 2 September 2019 / Revised: 2 October 2019 / Accepted: 3 October 2019 / Published: 9 October 2019
microRNAs (miRNAs) have been established as critical regulators of the pathogenesis of diabetes mellitus (DM), and diabetes microvascular complications (DMCs). However, manually curated databases for miRNAs, and DM (including DMCs) association studies, have yet to be established. Here, we constructed a user-friendly database, “miR2Diabetes,” equipped with a graphical web interface for simple browsing or searching manually curated annotations. The annotations in our database cover 14 DM and DMC phenotypes, involving 156 miRNAs, by browsing diverse sample origins (e.g., blood, kidney, liver, and other tissues). Additionally, we provide miRNA annotations for disease-model organisms (including rats and mice), of DM and DMCs, for the purpose of improving knowledge of the biological complexity of these pathologies. We assert that our database will be a comprehensive resource for miRNA biomarker studies, as well as for prioritizing miRNAs for functional validation, in DM and DMCs, with likely extension to other diseases. View Full-Text
Keywords: miRNA; diabetes mellitus; diabetic microvascular complications; databases miRNA; diabetes mellitus; diabetic microvascular complications; databases
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MDPI and ACS Style

Park, S.; Moon, S.; Lee, K.; Park, I.B.; Lee, D.H.; Nam, S. miR2Diabetes: A Literature-Curated Database of microRNA Expression Patterns, in Diabetic Microvascular Complications. Genes 2019, 10, 784.

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