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miRandola: Extracellular Circulating MicroRNAs Database

Overview of attention for article published in PLOS ONE, October 2012
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Title
miRandola: Extracellular Circulating MicroRNAs Database
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047786
Pubmed ID
Authors

Francesco Russo, Sebastiano Di Bella, Giovanni Nigita, Valentina Macca, Alessandro Laganà, Rosalba Giugno, Alfredo Pulvirenti, Alfredo Ferro

Abstract

MicroRNAs are small noncoding RNAs that play an important role in the regulation of various biological processes through their interaction with cellular messenger RNAs. They are frequently dysregulated in cancer and have shown great potential as tissue-based markers for cancer classification and prognostication. microRNAs are also present in extracellular human body fluids such as serum, plasma, saliva, and urine. Most of circulating microRNAs are present in human plasma and serum cofractionate with the Argonaute2 (Ago2) protein. However, circulating microRNAs have been also found in membrane-bound vesicles such as exosomes. Since microRNAs circulate in the bloodstream in a highly stable, extracellular form, they may be used as blood-based biomarkers for cancer and other diseases. A knowledge base of extracellular circulating miRNAs is a fundamental tool for biomedical research. In this work, we present miRandola, a comprehensive manually curated classification of extracellular circulating miRNAs. miRandola is connected to miRò, the miRNA knowledge base, allowing users to infer the potential biological functions of circulating miRNAs and their connections with phenotypes. The miRandola database contains 2132 entries, with 581 unique mature miRNAs and 21 types of samples. miRNAs are classified into four categories, based on their extracellular form: miRNA-Ago2 (173 entries), miRNA-exosome (856 entries), miRNA-HDL (20 entries) and miRNA-circulating (1083 entries). miRandola is available online at: http://atlas.dmi.unict.it/mirandola/index.html.

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Geographical breakdown

Country Count As %
United States 3 1%
India 2 <1%
Germany 1 <1%
South Africa 1 <1%
Brazil 1 <1%
Korea, Republic of 1 <1%
Belgium 1 <1%
Canada 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 201 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 67 31%
Student > Ph. D. Student 43 20%
Student > Master 23 11%
Student > Bachelor 12 6%
Other 12 6%
Other 37 17%
Unknown 20 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 38%
Biochemistry, Genetics and Molecular Biology 42 20%
Medicine and Dentistry 32 15%
Computer Science 7 3%
Engineering 6 3%
Other 16 7%
Unknown 30 14%