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

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

Methods for mass spectrometric proteome analysis

The major goal of proteome analysis is structure determination, identification, estimation of expression level, and understanding of the role of any protein in an organism. In combination with genomics, proteomics can provide a holistic understanding of the biological processes occurring in any organism. Mass spectrometry-based proteome analysis typically utilizes mass spectra of peptides of digested proteins together with sequence collection searching for rapid and accurate identification of proteins. Successful proteome analysis requires good experimental design, high quality data and optimized search conditions for protein identification. A mass spectrometry-based method for differential detection and identification of proteins in protein mixtures utilizing multivariate methods was developed. The method utilizes intensity values from matrix assisted laser desorption/ionization time-of-flight mass spectra of tryptically digested protein mixtures for the label-free identification of a protein present in different concentrations in two samples. The Probity algorithm, which assigns the statistical significance to each identification result, was applied for the protein identification. A systematic study of the quality of peptide mass fingerprint based (PMF) protein identifications under different search constraints was performed. 2244 PMFs from 2-dimensional gel electrophoreses separated human blood plasma proteins were submitted to the Probity algorithm for protein identification under different search conditions. The number of significantly identified proteins was counted for each condition in order to find the best set of search constraints for successful outcome. A study of how the quality of proteolytic peptide identification can be improved by optimizing the information content of tandem mass spectra and by optimizing the search constraints of the sequence collection searching was done. The X! Tandem algorithm was employed for identification of proteolytic peptides from mouse proteins. The influence of the mass accuracy of both precursor and fragment mass ions, the number of sequences included in the search, and the number of missed proteolytic cleavage sites on the number of identified peptides was explored. Computer simulations were performed in order to investigate quantitatively the information content in tandem mass spectra of proteolytic peptides, required to identify peptides and their post-translational modification

Mass Spectrometry-Based Proteomics Identifies UPF1 as a Critical Gene Expression Regulator in MonoMac 6 Cells.

5-Lipoxygenase (5-LO) catalyzes the two initial steps in the biosynthesis of leukotrienes, a group of inflammatory lipid mediators derived from arachidonic acid. Recently, we have demonstrated that 5-LO mRNA expression is regulated by alternative splicing and nonsense-mediated mRNA decay (NMD). In addition to this, 5-LO protein expression was reduced on translational level in UPF1 knockdown cells, suggesting that UPF1 has a positive influence on 5-LO translation. Therefore, a mass spectrometry-based proteomics study was performed to identify compartment-specific protein expression changes upon UPF1 knockdown in differentiated and undifferentiated MM6 cells. The proteomics analysis revealed that the knockdown of UPF1 results in numerous protein changes in the microsomal fraction (∼21%) but not in the cytosolic fraction (<1%). The results suggest that UPF1 is a critical gene expression regulator in a compartment-specific way. During differentiation by TGFβ and calcitriol, the majority of UPF1 regulated proteins were adjusted to normal level. This indicates that the translational regulation by UPF1 can potentially be cell differentiation-dependent

Descriptive Proteome Analysis to Investigate Context-Dependent Treatment Responses to OXPHOS Inhibition in Colon Carcinoma Cells Grown as Monolayer and Multicellular Tumor Spheroids

We have previously identified selective upregulation of the mevalonate pathway genes upon inhibition of oxidative phosphorylation (OXPHOS) in quiescent cancer cells. Using mass spectrometry-based proteomics, we here investigated whether these responses are corroborated on the protein level and whether proteomics could yield unique insights into context-dependent biology. HCT116 colon carcinoma cells were cultured as monolayer cultures, proliferative multicellular tumor spheroids (P-MCTS), or quiescent (Q:MCTS) multicellular tumor spheroids and exposed to OXPHOS inhibitors: nitazoxanide, FCCP, oligomycin, and salinomycin or the HMG-CoA-reductase inhibitor simvastatin at two different doses for 6 and 24 h. Samples were processed using an in-depth bottom-up proteomics workflow resulting in a total of 9286 identified protein groups. Gene set enrichment analysis showed profound differences between the three cell systems and confirmed differential enrichment of hypoxia, OXPHOS, and cell cycle progression-related protein responses in P-MCTS and QMCTS. Treatment experiments showed that the observed drug-induced alterations in gene expression of metabolically challenged cells are not translated directly to the protein level, but the results reaffirmed OXPHOS as a selective vulnerability of quiescent cancer cells. This work provides rationale for the use of deep proteome profiling to identify context-dependent treatment responses and encourages further studies investigating metabolic processes that could be co-targeted together with OXPHOS to eradicate quiescent cancer cells

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

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

Mass Spectrometry-Based Proteomics Identifies UPF1 as a Critical Gene Expression Regulator in MonoMac 6 Cells

5-Lipoxygenase (5-LO) catalyzes the two initial steps in the biosynthesis of leukotrienes, a group of inflammatory lipid mediators derived from arachidonic acid. Recently, we have demonstrated that 5-LO mRNA expression is regulated by alternative splicing and nonsense-mediated mRNA decay (NMD). In addition to this, 5-LO protein expression was reduced on translational level in UPF1 knockdown cells, suggesting that UPF1 has a positive influence on 5-LO translation. Therefore, a mass spectrometry-based proteomics study was performed to identify compartment-specific protein expression changes upon UPF1 knockdown in differentiated and undifferentiated MM6 cells. The proteomics analysis revealed that the knockdown of UPF1 results in numerous protein changes in the microsomal fraction (∼21%) but not in the cytosolic fraction (<1%). The results suggest that UPF1 is a critical gene expression regulator in a compartment-specific way. During differentiation by TGFβ and calcitriol, the majority of UPF1 regulated proteins were adjusted to normal level. This indicates that the translational regulation by UPF1 can potentially be cell differentiation-dependent