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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Nature Portfolio
2017
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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) |
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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 |
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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 AT eckartmeese biasinrecentmirbaseannotationspotentiallyassociatedwithrnaqualityissues |
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1718384680503345152 |