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dc.contributor.authorKern, Fabian
dc.contributor.authorAparicio Puerta, Ernesto
dc.date.accessioned2021-03-12T08:34:20Z
dc.date.available2021-03-12T08:34:20Z
dc.date.issued2021
dc.identifier.citationFabian Kern, Lena Krammes, Karin Danz, Caroline Diener, Tim Kehl, Oliver Küchler, Tobias Fehlmann, Mustafa Kahraman, Stefanie Rheinheimer, Ernesto Aparicio-Puerta, Sylvia Wagner, Nicole Ludwig, Christina Backes, Hans-Peter Lenhof, Hagen von Briesen, Martin Hart, Andreas Keller, Eckart Meese, Validation of human microRNA target pathways enables evaluation of target prediction tools, Nucleic Acids Research, Volume 49, Issue 1, 11 January 2021, Pages 127–144, https://doi.org/10.1093/nar/gkaa1161es_ES
dc.identifier.urihttp://hdl.handle.net/10481/67130
dc.description.abstractMicroRNAs are regulators of gene expression. A wide-spread, yet not validated, assumption is that the targetome of miRNAs is non-randomly distributed across the transcriptome and that targets share functional pathways. We developed a computational and experimental strategy termed high-throughput miRNA interaction reporter assay (HiTmIR) to facilitate the validation of target pathways. First, targets and target pathways are predicted and prioritized by computational means to increase the specificity and positive predictive value. Second, the novel webtool miRTaH facilitates guided designs of reporter assay constructs at scale. Third, automated and standardized reporter assays are performed. We evaluated HiTmIR using miR-34a-5p, for which TNF- and TGFBsignaling, and Parkinson’s Disease (PD)-related categories were identified and repeated the pipeline for miR-7-5p. HiTmIR validated 58.9% of the target genes for miR-34a-5p and 46.7% for miR-7-5p. We confirmed the targeting by measuring the endogenous protein levels of targets in a neuronal cell model. The standardized positive and negative targets are collected in the new miRATBase database, representing a resource for training, or benchmarking new target predictors. Applied to 88 target predictors with different confidence scores, TargetScan 7.2 and miRanda outperformed other tools. Our experiments demonstrate the efficiency of HiTmIR and provide evidence for an orchestrated miRNA-gene targeting.es_ES
dc.description.sponsorshipMichael J. Fox foundation 14446es_ES
dc.description.sponsorshipInternal funds of Saarland Universityes_ES
dc.description.sponsorshipInstituto de Salud Carlos III European Commission IFI16/00041 MV19/00058es_ES
dc.language.isoenges_ES
dc.publisherOXFORD UNIV PRESSes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.titleValidation of human microRNA target pathways enables evaluation of target prediction toolses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1093/nar/gkaa1161


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Atribución 3.0 España
Except where otherwise noted, this item's license is described as Atribución 3.0 España