Bias in recent miRBase annotations potentially associated with RNA quality issues

Abstract Although microRNAs are supposed to be stable in-vivo, degradation processes potentially blur our knowledge on the small oligonucleotides. We set to quantify the effect of degradation on microRNAs in mouse to identify causes for distorted microRNAs patterns. In liver, we found 298, 99 and 8...

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Autores principales: Nicole Ludwig, Meike Becker, Timo Schumann, Timo Speer, Tobias Fehlmann, Andreas Keller, Eckart Meese
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Publicado: Nature Portfolio 2017
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spelling oai:doaj.org-article:b5e7ede394c24184ad346b62cb222cde2021-12-02T16:07:56ZBias in recent miRBase annotations potentially associated with RNA quality issues10.1038/s41598-017-05070-02045-2322https://doaj.org/article/b5e7ede394c24184ad346b62cb222cde2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05070-0https://doaj.org/toc/2045-2322Abstract Although microRNAs are supposed to be stable in-vivo, degradation processes potentially blur our knowledge on the small oligonucleotides. We set to quantify the effect of degradation on microRNAs in mouse to identify causes for distorted microRNAs patterns. In liver, we found 298, 99 and 8 microRNAs whose expression significantly correlated to RNA integrity, storage time at room temperature and storage time at 4 °C, respectively. Expression levels of 226 microRNAs significantly differed between liver samples with high RNA integrity compared to liver samples with low RNA integrity by more than two-fold. Especially the 157 microRNAs with increased expression in tissue samples with low RNA integrity were most recently added to miRBase. Testing potentially confounding sources, e.g. in-vitro degraded RNA depleted of small RNAs, we detected signals for 350 microRNAs, suggesting cross-hybridization of fragmented RNAs. Therefore, we conclude that especially microRNAs added in the latest miRBase versions might be artefacts due to RNA degradation. The results facilitate differentiation between degradation-resilient microRNAs, degradation-sensitive microRNAs, and likely erroneously annotated microRNAs. The latter were largely identified by NGS but not experimentally validated and can severely bias microRNA biomarker research and impact the value of microRNAs as diagnostic, prognostic or therapeutic tools.Nicole LudwigMeike BeckerTimo SchumannTimo SpeerTobias FehlmannAndreas KellerEckart MeeseNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Nicole Ludwig
Meike Becker
Timo Schumann
Timo Speer
Tobias Fehlmann
Andreas Keller
Eckart Meese
Bias in recent miRBase annotations potentially associated with RNA quality issues
description Abstract Although microRNAs are supposed to be stable in-vivo, degradation processes potentially blur our knowledge on the small oligonucleotides. We set to quantify the effect of degradation on microRNAs in mouse to identify causes for distorted microRNAs patterns. In liver, we found 298, 99 and 8 microRNAs whose expression significantly correlated to RNA integrity, storage time at room temperature and storage time at 4 °C, respectively. Expression levels of 226 microRNAs significantly differed between liver samples with high RNA integrity compared to liver samples with low RNA integrity by more than two-fold. Especially the 157 microRNAs with increased expression in tissue samples with low RNA integrity were most recently added to miRBase. Testing potentially confounding sources, e.g. in-vitro degraded RNA depleted of small RNAs, we detected signals for 350 microRNAs, suggesting cross-hybridization of fragmented RNAs. Therefore, we conclude that especially microRNAs added in the latest miRBase versions might be artefacts due to RNA degradation. The results facilitate differentiation between degradation-resilient microRNAs, degradation-sensitive microRNAs, and likely erroneously annotated microRNAs. The latter were largely identified by NGS but not experimentally validated and can severely bias microRNA biomarker research and impact the value of microRNAs as diagnostic, prognostic or therapeutic tools.
format article
author Nicole Ludwig
Meike Becker
Timo Schumann
Timo Speer
Tobias Fehlmann
Andreas Keller
Eckart Meese
author_facet Nicole Ludwig
Meike Becker
Timo Schumann
Timo Speer
Tobias Fehlmann
Andreas Keller
Eckart Meese
author_sort Nicole Ludwig
title Bias in recent miRBase annotations potentially associated with RNA quality issues
title_short Bias in recent miRBase annotations potentially associated with RNA quality issues
title_full Bias in recent miRBase annotations potentially associated with RNA quality issues
title_fullStr Bias in recent miRBase annotations potentially associated with RNA quality issues
title_full_unstemmed Bias in recent miRBase annotations potentially associated with RNA quality issues
title_sort bias in recent mirbase annotations potentially associated with rna quality issues
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/b5e7ede394c24184ad346b62cb222cde
work_keys_str_mv AT nicoleludwig biasinrecentmirbaseannotationspotentiallyassociatedwithrnaqualityissues
AT meikebecker biasinrecentmirbaseannotationspotentiallyassociatedwithrnaqualityissues
AT timoschumann biasinrecentmirbaseannotationspotentiallyassociatedwithrnaqualityissues
AT timospeer biasinrecentmirbaseannotationspotentiallyassociatedwithrnaqualityissues
AT tobiasfehlmann biasinrecentmirbaseannotationspotentiallyassociatedwithrnaqualityissues
AT andreaskeller biasinrecentmirbaseannotationspotentiallyassociatedwithrnaqualityissues
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