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  5. Proteomics-Based Characterization of miR-574-5p Decoy to CUGBP1 Suggests Specificity for mPGES-1 Regulation in Human Lung Cancer Cells
 
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2020
Zweitveröffentlichung
Artikel
Verlagsversion

Proteomics-Based Characterization of miR-574-5p Decoy to CUGBP1 Suggests Specificity for mPGES-1 Regulation in Human Lung Cancer Cells

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Hauptpublikation
saul-proteomics.pdf
CC BY 4.0 International
Format: Adobe PDF
Size: 2.23 MB
TUDa URI
tuda/5028
URN
urn:nbn:de:tuda-tuprints-115995
DOI
10.25534/tuprints-00011599
Autor:innen
Emmerich, Anne C.
Wellstein, Julia
Ossipova, Elena
Baumann, Isabell
Lengqvist, Johan
Kultima, Kim
Jakobsson, Per-Johan
Steinhilber, Dieter
Saul, Meike J.
Kurzbeschreibung (Abstract)

MicroRNAs (miRs) are one of the most important post-transcriptional repressors of gene expression. However, miR-574-5p has recently been shown to positively regulate the expression of microsomal prostaglandin E-synthase-1 (mPGES-1), a key enzyme in the prostaglandin E2 (PGE2) biosynthesis, by acting as decoy to the RNA-binding protein CUG-RNA binding protein 1 (CUGBP1) in human lung cancer. miR-574-5p exhibits oncogenic properties and promotes lung tumor growth in vivo via induction of mPGES-1-derived PGE2 synthesis. In a mass spectrometry-based proteomics study, we now attempted to characterize this decoy mechanism in A549 lung cancer cells at a cellular level. Besides the identification of novel CUGBP1 targets, we identified that the interaction between miR-574-5p and CUGBP1 specifically regulates mPGES-1 expression. This is supported by the fact that CUGBP1 and miR-574-5p are located in the nucleus, where CUGBP1 regulates alternative splicing. Further, in a bioinformatical approach we showed that the decoy-dependent mPGES-1 splicing pattern is unique. The specificity of miR-574-5p/CUGBP1 regulation on mPGES-1 expression supports the therapeutic strategy of pharmacological inhibition of PGE2 formation, which may provide significant therapeutic value for NSCLC patients with high miR-574-5p levels.

Sprache
Englisch
Fachbereich/-gebiet
10 Fachbereich Biologie > Synthetic Genetic Circuits (2020 umbenannt in "Synthetic RNA biology")
DDC
500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie
Institution
Universitäts- und Landesbibliothek Darmstadt
Ort
Darmstadt
Titel der Zeitschrift / Schriftenreihe
Frontiers in Pharmacology
Jahrgang der Zeitschrift
11
ISSN
1663-9812
Verlag
Frontiers
Publikationsjahr der Erstveröffentlichung
2020
Verlags-DOI
10.3389/fphar.2020.00196
PPN
461847329

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