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Kim, Kevin

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Kim

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Kevin

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Kim, Kevin

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Now showing 1 - 2 of 2
  • Publication

    miR-190 Enhances HIF-Dependent Responses to Hypoxia in Drosophila by Inhibiting the Prolyl-4-hydroxylase Fatiga

    (Public Library of Science, 2016) De Lella Ezcurra, Ana Laura; Bertolin, Agustina Paola; Kim, Kevin; Katz, Maximiliano Javier; Gándara, Lautaro; Misra, Tvisha; Luschnig, Stefan; Perrimon, Norbert; Melani, Mariana; Wappner, Pablo

    Cellular and systemic responses to low oxygen levels are principally mediated by Hypoxia Inducible Factors (HIFs), a family of evolutionary conserved heterodimeric transcription factors, whose alpha- and beta-subunits belong to the bHLH-PAS family. In normoxia, HIFα is hydroxylated by specific prolyl-4-hydroxylases, targeting it for proteasomal degradation, while in hypoxia the activity of these hydroxylases decreases due to low oxygen availability, leading to HIFα accumulation and expression of HIF target genes. To identify microRNAs required for maximal HIF activity, we conducted an overexpression screen in Drosophila melanogaster, evaluating the induction of a HIF transcriptional reporter. miR-190 overexpression enhanced HIF-dependent biological responses, including terminal sprouting of the tracheal system, while in miR-190 loss of function embryos the hypoxic response was impaired. In hypoxic conditions, miR-190 expression was upregulated and required for induction of HIF target genes by directly inhibiting the HIF prolyl-4-hydroxylase Fatiga. Thus, miR-190 is a novel regulator of the hypoxia response that represses the oxygen sensor Fatiga, leading to HIFα stabilization and enhancement of hypoxic responses.

  • Publication

    A Rapid Genome-Wide MicroRNA Screen Identifies miR-14 as a Modulator of Hedgehog Signaling

    (Elsevier BV, 2014-06-26) Kim, Kevin; Vinayagam, Arunachalam; Perrimon, Norbert

    MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene expression by binding to sequences within the 3′UTR of mRNAs. Because miRNAs bind to short sequences with partial complementarity, target identification is challenging. To complement the existing target prediction algorithms, we devised a systematic “reverse approach” screening platform which allows the empirical prediction of miRNA-target interactions. Using Drosophila cells, we screened the 3′UTRs of the Hedgehog pathway genes against a genome-wide miRNA library and identified both predicted and many non-predicted miRNA-target interactions. We demonstrate that miR-14 is essential for maintaining the proper level of Hedgehog signaling activity by regulating its physiological target, hedgehog. Furthermore, elevated levels of miR-14 suppress Hedgehog signaling activity by co-targeting its apparent non-physiological targets, patched and smoothened. Altogether, our systematic screening platform is a powerful approach to identifying both physiological and apparent non-physiological targets of miRNAs, which are relevant in both normal and diseased tissues.