Reference : Large-scale validation of miRNAs by disease association, evolutionary conservation an...
Scientific journals : Article
Human health sciences : Neurology
Systems Biomedicine
http://hdl.handle.net/10993/41781
Large-scale validation of miRNAs by disease association, evolutionary conservation and pathway activity.
English
Keller, Andreas [> >]
Fehlmann, Tobias [> >]
Laufer, Thomas [> >]
Backes, Christina [> >]
Kahramann, Mustafa [> >]
Alles, Julia [> >]
Fischer, Ulrike [> >]
Minet, Marie [> >]
Ludwig, Nicole [> >]
Kern, Fabian [> >]
Kehl, Tim [> >]
Galata, Valentina [> >]
Dusterloh, Aneta [> >]
Schrors, Hannah [> >]
Kohlhaas, Jochen [> >]
Bals, Robert [> >]
Huwer, Hanno [> >]
Geffers, Lars [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
Krüger, Rejko mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit]
Balling, Rudi mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
Lenhof, Hans-Peter [> >]
Meese, Eckart [> >]
26-Dec-2018
RNA biology
Yes (verified by ORBilu)
International
1547-6286
1555-8584
United States
[en] NGS ; evolution of miRNAs ; microRNA validation ; microarray ; northern blot ; target pathways
[en] The validation of microRNAs (miRNAs) identified by next generation sequencing involves amplification-free and hybridization-based detection of transcripts as criteria for confirming valid miRNAs. Since respective validation is frequently not performed, miRNA repositories likely still contain a substantial fraction of false positive candidates while true miRNAs are not stored in the repositories yet. Especially if downstream analyses are performed with these candidates (e.g. target or pathway prediction), the results may be misleading. In the present study, we evaluated 558 mature miRNAs from miRBase and 1,709 miRNA candidates from next generation sequencing experiments by amplification-free hybridization and investigated their distributions in patients with various disease conditions. Notably, the most significant miRNAs in diseases are often not contained in the miRBase. However, these candidates are evolutionary highly conserved. From the expression patterns, target gene and pathway analyses and evolutionary conservation analyses, we were able to shed light on the complexity of miRNAs in humans. Our data also highlight that a more thorough validation of miRNAs identified by next generation sequencing is required. The results are available in miRCarta ( https://mircarta.cs.uni-saarland.de ).
http://hdl.handle.net/10993/41781
10.1080/15476286.2018.1559689

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