miRandola 2017: a curated knowledge base of non-invasive biomarkers
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miRandola 2017 : a curated knowledge base of non-invasive biomarkers. / Russo, Francesco; Di Bella, Sebastiano; Vannini, Federica; Berti, Gabriele; Scoyni, Flavia; Cook, Helen V; Santos, Alberto; Nigita, Giovanni; Bonnici, Vincenzo; Laganà, Alessandro; Geraci, Filippo; Pulvirenti, Alfredo; Giugno, Rosalba; De Masi, Federico; Belling, Kirstine; Jensen, Lars J; Brunak, Søren; Pellegrini, Marco; Ferro, Alfredo.
In: Nucleic Acids Research, Vol. 46, No. D1, 01.01.2018, p. D354-D359.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - miRandola 2017
T2 - a curated knowledge base of non-invasive biomarkers
AU - Russo, Francesco
AU - Di Bella, Sebastiano
AU - Vannini, Federica
AU - Berti, Gabriele
AU - Scoyni, Flavia
AU - Cook, Helen V
AU - Santos, Alberto
AU - Nigita, Giovanni
AU - Bonnici, Vincenzo
AU - Laganà, Alessandro
AU - Geraci, Filippo
AU - Pulvirenti, Alfredo
AU - Giugno, Rosalba
AU - De Masi, Federico
AU - Belling, Kirstine
AU - Jensen, Lars J
AU - Brunak, Søren
AU - Pellegrini, Marco
AU - Ferro, Alfredo
N1 - © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - miRandola (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.
AB - miRandola (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.
U2 - 10.1093/nar/gkx854
DO - 10.1093/nar/gkx854
M3 - Journal article
C2 - 29036351
VL - 46
SP - D354-D359
JO - Nucleic Acids Research
JF - Nucleic Acids Research
SN - 0305-1048
IS - D1
ER -
ID: 186875009