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1000 Titel
  • Dissecting miRNA gene repression on single cell level with an advanced fluorescent reporter system
1000 Autor/in
  1. Lemus-Diaz, Nicolas |
  2. Böker, Kai O. |
  3. Mitter, Michael |
  4. Preis, Jasmin |
  5. Aerlt; Maximilian |
  6. Rodriguez-Polo, Ignacio |
  7. Gruber, Jens |
1000 Erscheinungsjahr 2017
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-03-24
1000 Erschienen in
1000 Quellenangabe
  • 7:45197
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1038/srep45197 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5364550/ |
1000 Ergänzendes Material
  • https://www.nature.com/articles/srep45197#supplementary-information |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Despite major advances on miRNA profiling and target predictions, functional readouts for endogenous miRNAs are limited and frequently lead to contradicting conclusions. Numerous approaches including functional high-throughput and miRISC complex evaluations suggest that the functional miRNAome differs from the predictions based on quantitative sRNA profiling. To resolve the apparent contradiction of expression versus function, we generated and applied a fluorescence reporter gene assay enabling single cell analysis. This approach integrates and adapts a mathematical model for miRNA-driven gene repression. This model predicts three distinct miRNA-groups with unique repression activities (low, mid and high) governed not just by expression levels but also by miRNA/target-binding capability. Here, we demonstrate the feasibility of the system by applying controlled concentrations of synthetic siRNAs and in parallel, altering target-binding capability on corresponding reporter-constructs. Furthermore, we compared miRNA-profiles with the modeled predictions of 29 individual candidates. We demonstrate that expression levels only partially reflect the miRNA function, fitting to the model-projected groups of different activities. Furthermore, we demonstrate that subcellular localization of miRNAs impacts functionality. Our results imply that miRNA profiling alone cannot define their repression activity. The gene regulatory function is a dynamic and complex process beyond a minimalistic conception of “highly expressed equals high repression”.
1000 Sacherschließung
lokal RNAi
lokal Fluorescent proteins
lokal Bioinformatics
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/TGVtdXMtRGlheiwgTmljb2xhcw==|https://frl.publisso.de/adhoc/creator/QsO2a2VyLCBLYWkgTy4=|https://frl.publisso.de/adhoc/creator/TWl0dGVyLCBNaWNoYWVs|https://frl.publisso.de/adhoc/creator/UHJlaXMsIEphc21pbg==|https://frl.publisso.de/adhoc/creator/QWVybHQ7IE1heGltaWxpYW4=|http://orcid.org/0000-0003-1254-4972|http://orcid.org/0000-0001-7664-3107
1000 Label
1000 Förderer
  1. Leibniz Association |
  2. DFG |
1000 Fördernummer
  1. -
  2. GSC 226/2
1000 Förderprogramm
  1. Open Access Fund
  2. Göttingen Graduate School for Neuroscience, Biophysics and Molecular Biosciences
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Leibniz Association |
    1000 Förderprogramm Open Access Fund
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer DFG |
    1000 Förderprogramm Göttingen Graduate School for Neuroscience, Biophysics and Molecular Biosciences
    1000 Fördernummer GSC 226/2
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6406245.rdf
1000 Erstellt am 2018-01-10T13:17:16.437+0100
1000 Erstellt von 122
1000 beschreibt frl:6406245
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet Thu Aug 05 14:48:11 CEST 2021
1000 Objekt bearb. Thu Aug 05 14:48:11 CEST 2021
1000 Vgl. frl:6406245
1000 Oai Id
  1. oai:frl.publisso.de:frl:6406245 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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