Journal article
miRandola 2017: a curated knowledge base of non-invasive biomarkers
University of Copenhagen1
Department of Bio and Health Informatics, Technical University of Denmark2
Integrative Systems Biology, Department of Bio and Health Informatics, Technical University of Denmark3
Department of Systems Biology, Technical University of Denmark4
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark5
Integrative Systems Biology, Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark6
Department of Biotechnology, Technical University of Denmark7
NMS Group S.p.A.8
Sant'Anna School of Advanced Studies9
University of Eastern Finland10
Ohio State University11
University of Verona12
Icahn School of Medicine at Mount Sinai13
National Research Council of Italy14
University of Catania15
...and 5 moremiRandola (http://mirandola.iit.cnr.it/) is a database of extracellular non-coding RNAs (ncRNAs) that was initially published in 2012, foreseeing the relevance of ncRNAs as non-invasive biomarkers. An increasing amount of experimental evidence shows that ncRNAs are frequently dysregulated in diseases.
Further, ncRNAs have been discovered in different extracellular forms, such as exosomes, which circulate in human body fluids. Thus, miRandola 2017 is an effort to update and collect the accumulating information on extracellular ncRNAs that is spread across scientific publications and different databases.
Data are manually curated from 314 articles that describe miRNAs, long non-coding RNAs and circular RNAs. Fourteen organisms are now included in the database, and associations of ncRNAs with 25 drugs, 47 sample types and 197 diseases. miRandola also classifies extracellular RNAs based on their extracellular form: Argonaute2 protein, exosome, microvesicle, microparticle, membrane vesicle, high density lipoprotein and circulating.
We also implemented a new web interface to improve the user experience.
| Language: | English |
|---|---|
| Publisher: | Oxford University Press |
| Year: | 2018 |
| Pages: | D354-D359 |
| ISSN: | 13624962 and 03051048 |
| Types: | Journal article |
| DOI: | 10.1093/nar/gkx854 |
| ORCIDs: | 0000-0001-9257-4359 , 0000-0001-5664-1948 , 0000-0001-7885-715X , 0000-0003-0316-5866 , 0000-0001-6993-6761 and De Masi, Federico |
