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dc.contributor.authorDenzler, Rémy
dc.contributor.authorStefano, Joanna
dc.contributor.authorStoffel, Markus
dc.contributor.authorAgarwal, Vikram
dc.contributor.authorBartel, David
dc.date.accessioned2018-06-15T13:37:17Z
dc.date.available2018-06-15T13:37:17Z
dc.date.issued2014-05
dc.date.submitted2014-03
dc.identifier.issn1097-2765
dc.identifier.issn1097-4164
dc.identifier.urihttp://hdl.handle.net/1721.1/116326
dc.description.abstractRecent studies have reported that competitive endogenous RNAs (ceRNAs) can act as sponges for a microRNA (miRNA) through their binding sites and that changes in ceRNA abundances from individual genes can modulate the activity of miRNAs. Consideration of this hypothesis would benefit from knowing the quantitative relationship between a miRNA and its endogenous target sites. Here, we altered intracellular target site abundance through expression of an miR-122 target in hepatocytes and livers and analyzed the effects on miR-122 target genes. Target repression was released in a threshold-like manner at high target site abundance (≥1.5× 10 5 added target sites per cell), and this threshold was insensitive to the effective levels of the miRNA. Furthermore, in response to extreme metabolic liver disease models, global target site abundance of hepatocytes did not change sufficiently to affect miRNA-mediated repression. Thus, modulation of miRNA target abundance is unlikely to cause significant effects on gene expression and metabolism through a ceRNA effect.en_US
dc.publisherElsevier BVen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/J.MOLCEL.2014.03.045en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcePMCen_US
dc.titleAssessing the ceRNA Hypothesis with Quantitative Measurements of miRNA and Target Abundanceen_US
dc.typeArticleen_US
dc.identifier.citationDenzler, Rémy et al. “Assessing the ceRNA Hypothesis with Quantitative Measurements of miRNA and Target Abundance.” Molecular Cell 54, 5 (June 2014): 766–776 © 2014 Elsevier Incen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computational and Systems Biology Programen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.mitauthorAgarwal, Vikram
dc.contributor.mitauthorBartel, David
dc.relation.journalMolecular Cellen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-06-12T18:50:27Z
dspace.orderedauthorsDenzler, Rémy; Agarwal, Vikram; Stefano, Joanna; Bartel, David P.; Stoffel, Markusen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-8148-952X
dc.identifier.orcidhttps://orcid.org/0000-0002-3872-2856
mit.licensePUBLISHER_CCen_US


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