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miRandola 2017: a curated knowledge base of non-invasive biomarkers

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 disease...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753291/
https://www.ncbi.nlm.nih.gov/pubmed/29036351
http://dx.doi.org/10.1093/nar/gkx854
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author 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
author_facet 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
author_sort Russo, Francesco
collection PubMed
description 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.
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spelling pubmed-57532912018-01-05 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 Nucleic Acids Res Database Issue 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. Oxford University Press 2018-01-04 2017-09-25 /pmc/articles/PMC5753291/ /pubmed/29036351 http://dx.doi.org/10.1093/nar/gkx854 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
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
miRandola 2017: a curated knowledge base of non-invasive biomarkers
title miRandola 2017: a curated knowledge base of non-invasive biomarkers
title_full miRandola 2017: a curated knowledge base of non-invasive biomarkers
title_fullStr miRandola 2017: a curated knowledge base of non-invasive biomarkers
title_full_unstemmed miRandola 2017: a curated knowledge base of non-invasive biomarkers
title_short miRandola 2017: a curated knowledge base of non-invasive biomarkers
title_sort mirandola 2017: a curated knowledge base of non-invasive biomarkers
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753291/
https://www.ncbi.nlm.nih.gov/pubmed/29036351
http://dx.doi.org/10.1093/nar/gkx854
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