Emmerich, Anne Caterina (2020)
Characterization of miR-574-5p decoy to CUGBP1 in human lung cancer cells using a mass spectrometry proteomics approach.
Technische Universität Darmstadt
doi: 10.25534/tuprints-00009140
Dissertation, Erstveröffentlichung
Kurzbeschreibung (Abstract)
The bioactive lipid mediator prostaglandin (PG) E2 is generated by the enzyme microsomal prostaglandin E2 synthase-1 (mPGES-1). Especially in lung tumors, mPGES-1 was shown to be significantly overexpressed which contributes to a pro-tumorigenic microenvironment. Current medication interfering with the negative effects of PGE2 comprise only non-steroidal anti-inflammatory drugs (NSAIDs). While these have effective analgesic properties and are commonly used as pain killers, treatment of tumor growth is still inconclusive. Probably, only subgroups of cancer patients exhibit an abnormal prostanoid profile. Therefore, a reliable biomarker is necessary to identify patients who could benefit from said treatment. In a recent study, it was discovered that a specific microRNA (miR) can induce mPGES-1 gene expression. The miR-574-5p prevents binding of the inhibitory CUG-RNA binding protein 1 (CUGBP1) to the 3´ untranslated region (UTR) of mPGES-1. This non-canonical decoy function of miR-574-5p leads to an increased mPGES-1 protein level. Following, an induction of PGE2 formation triggers the progression of lung tumor growth in vivo. Interestingly, the entire influence on tumor progression could be blocked with the addition of a specific mPGES-1 inhibitor, confirming the huge influence of miR-574-5p on (patho-) physiological mPGES-1 functions. In this study, a proteomics approach was conducted in order to further characterize this decoy mechanism in human lung cancer cells. The aim was to gather global insights into the proteome changes related to miR-574-5p and CUGBP1, especially in a compartment specific manner. Further, it was aimed to identify new CUGBP1 targets and find out if they are also affected by the decoy function of miR-574-5p. Two new CUGBP1 targets were validated herein: NADH-Ubiquinone Oxidoreductase Core Subunit S2 (NDUFS2) and Mothers against decapentaplegic homolog 2 (SMAD2). However, both NDUFS2 and SMAD2 are independent from miR-574-5p levels. In a bioinformatical 3’UTR analysis of potential CUGBP1 targets, it was shown that the specific splicing pattern of mPGES-1 is unique, comprising two long CUGBP1 binding motifs with a 3’UTR intron in between. Only 11 other transcripts harbor a similar but not identical pattern in their sequence. Hence, it is assumable that this novel decoy mechanism is specifically regulating mPGES-1 in A549 lung cancer cells. This might be caused by the unique splice pattern of mPGES-1. However, further experiments are needed to confirm this hypothesis. Nevertheless, specificity of the decoy mechanism would open up new opportunities for lung cancer patients. By using miR-574-5p as a biomarker, one could stratify those patients with high mPGES-1 levels who have a higher chance to benefit from the anti-tumorigenic potential of NSAID therapy.
Typ des Eintrags: | Dissertation | ||||
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Erschienen: | 2020 | ||||
Autor(en): | Emmerich, Anne Caterina | ||||
Art des Eintrags: | Erstveröffentlichung | ||||
Titel: | Characterization of miR-574-5p decoy to CUGBP1 in human lung cancer cells using a mass spectrometry proteomics approach | ||||
Sprache: | Englisch | ||||
Referenten: | Saul, Dr. Meike Julia ; Süß, Prof. Beatrix ; Löwer, Prof. Alexander ; Steinhilber, Prof. Dieter | ||||
Publikationsjahr: | 2020 | ||||
Ort: | Darmstadt | ||||
Datum der mündlichen Prüfung: | 28 Februar 2020 | ||||
DOI: | 10.25534/tuprints-00009140 | ||||
URL / URN: | https://tuprints.ulb.tu-darmstadt.de/9140 | ||||
Kurzbeschreibung (Abstract): | The bioactive lipid mediator prostaglandin (PG) E2 is generated by the enzyme microsomal prostaglandin E2 synthase-1 (mPGES-1). Especially in lung tumors, mPGES-1 was shown to be significantly overexpressed which contributes to a pro-tumorigenic microenvironment. Current medication interfering with the negative effects of PGE2 comprise only non-steroidal anti-inflammatory drugs (NSAIDs). While these have effective analgesic properties and are commonly used as pain killers, treatment of tumor growth is still inconclusive. Probably, only subgroups of cancer patients exhibit an abnormal prostanoid profile. Therefore, a reliable biomarker is necessary to identify patients who could benefit from said treatment. In a recent study, it was discovered that a specific microRNA (miR) can induce mPGES-1 gene expression. The miR-574-5p prevents binding of the inhibitory CUG-RNA binding protein 1 (CUGBP1) to the 3´ untranslated region (UTR) of mPGES-1. This non-canonical decoy function of miR-574-5p leads to an increased mPGES-1 protein level. Following, an induction of PGE2 formation triggers the progression of lung tumor growth in vivo. Interestingly, the entire influence on tumor progression could be blocked with the addition of a specific mPGES-1 inhibitor, confirming the huge influence of miR-574-5p on (patho-) physiological mPGES-1 functions. In this study, a proteomics approach was conducted in order to further characterize this decoy mechanism in human lung cancer cells. The aim was to gather global insights into the proteome changes related to miR-574-5p and CUGBP1, especially in a compartment specific manner. Further, it was aimed to identify new CUGBP1 targets and find out if they are also affected by the decoy function of miR-574-5p. Two new CUGBP1 targets were validated herein: NADH-Ubiquinone Oxidoreductase Core Subunit S2 (NDUFS2) and Mothers against decapentaplegic homolog 2 (SMAD2). However, both NDUFS2 and SMAD2 are independent from miR-574-5p levels. In a bioinformatical 3’UTR analysis of potential CUGBP1 targets, it was shown that the specific splicing pattern of mPGES-1 is unique, comprising two long CUGBP1 binding motifs with a 3’UTR intron in between. Only 11 other transcripts harbor a similar but not identical pattern in their sequence. Hence, it is assumable that this novel decoy mechanism is specifically regulating mPGES-1 in A549 lung cancer cells. This might be caused by the unique splice pattern of mPGES-1. However, further experiments are needed to confirm this hypothesis. Nevertheless, specificity of the decoy mechanism would open up new opportunities for lung cancer patients. By using miR-574-5p as a biomarker, one could stratify those patients with high mPGES-1 levels who have a higher chance to benefit from the anti-tumorigenic potential of NSAID therapy. |
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URN: | urn:nbn:de:tuda-tuprints-91406 | ||||
Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie | ||||
Fachbereich(e)/-gebiet(e): | 10 Fachbereich Biologie 10 Fachbereich Biologie > Molecular Genetics |
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Hinterlegungsdatum: | 05 Apr 2020 19:56 | ||||
Letzte Änderung: | 05 Apr 2020 19:56 | ||||
PPN: | |||||
Referenten: | Saul, Dr. Meike Julia ; Süß, Prof. Beatrix ; Löwer, Prof. Alexander ; Steinhilber, Prof. Dieter | ||||
Datum der mündlichen Prüfung / Verteidigung / mdl. Prüfung: | 28 Februar 2020 | ||||
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