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Protein lysate microarray analysis to identify microRNAs regulating estrogen receptor signaling in breast cancer cell lines

  • Suvi-Katri Leivonen*
  • , Rami Mäkelä
  • , Päivi Östling
  • , Pekka Kohonen
  • , Saija Haapa-Paananen
  • , Kristine Kleivi
  • , E. Enerly
  • , Anna Aakula
  • , K. Hellström
  • , Niko Sahlberg
  • , V.N. Kristensen
  • , A.-L. Børresen-Dale
  • , Petri Saviranta
  • , Merja Perälä
  • , Olli Kallioniemi
  • *Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    Predicting the impact of microRNAs (miRNAs) on target proteins is challenging because of their different regulatory effects at the transcriptional and translational levels. In this study, we applied a novel protein lysate microarray (LMA) technology to systematically monitor for target protein levels after high-throughput transfections of 319 pre-miRs into breast cancer cells. We identified 21 miRNAs that downregulated the estrogen receptor-α (ERα), as validated by western blotting and quantitative real time–PCR, and by demonstrating the inhibition of estrogen-stimulated cell growth. Five potent ERα-regulating miRNAs, miR-18a, miR-18b, miR-193b, miR-206 and miR-302c, were confirmed to directly target ERα in 3′-untranslated region reporter assays. The gene expression signature that they repressed highly overlapped with that of a small interfering RNA against ERα, and across all the signatures tested, was most closely associated with the repression of known estrogen-induced genes. Furthermore, miR-18a and miR-18b showed higher levels of expression in ERα-negative as compared with ERα-positive clinical tumors. In summary, we present systematic and direct functional evidence of miRNAs inhibiting ERα signaling in breast cancer, and demonstrate the high-throughput LMA technology as a novel, powerful technique in determining the relative impact of various miRNAs on key target proteins and associated cellular processes and pathways.
    Original languageEnglish
    Pages (from-to)3926-3936
    JournalOncogene
    Volume28
    DOIs
    Publication statusPublished - 2009
    MoE publication typeA1 Journal article-refereed

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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