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      Metabolomic Profiling of the Synergistic Effects of Melittin in Combination with Cisplatin on Ovarian Cancer Cells

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          Abstract

          Melittin, the main peptide present in bee venom, has been proposed as having potential for anticancer therapy; the addition of melittin to cisplatin, a first line treatment for ovarian cancer, may increase the therapeutic response in cancer treatment via synergy, resulting in improved tolerability, reduced relapse, and decreased drug resistance. Thus, this study was designed to compare the metabolomic effects of melittin in combination with cisplatin in cisplatin-sensitive (A2780) and resistant (A2780CR) ovarian cancer cells. Liquid chromatography (LC) coupled with mass spectrometry (MS) was applied to identify metabolic changes in A2780 (combination treatment 5 μg/mL melittin + 2 μg/mL cisplatin) and A2780CR (combination treatment 2 μg/mL melittin + 10 μg/mL cisplatin) cells. Principal components analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) multivariate data analysis models were produced using SIMCA-P software. All models displayed good separation between experimental groups and high-quality goodness of fit (R 2) and goodness of prediction (Q 2), respectively. The combination treatment induced significant changes in both cell lines involving reduction in the levels of metabolites in the tricarboxylic acid (TCA) cycle, oxidative phosphorylation, purine and pyrimidine metabolism, and the arginine/proline pathway. The combination of melittin with cisplatin that targets these pathways had a synergistic effect. The melittin-cisplatin combination had a stronger effect on the A2780 cell line in comparison with the A2780CR cell line. The metabolic effects of melittin and cisplatin in combination were very different from those of each agent alone.

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          Mediation of poly(ADP-ribose) polymerase-1-dependent cell death by apoptosis-inducing factor.

          Poly(ADP-ribose) polymerase-1 (PARP-1) protects the genome by functioning in the DNA damage surveillance network. PARP-1 is also a mediator of cell death after ischemia-reperfusion injury, glutamate excitotoxicity, and various inflammatory processes. We show that PARP-1 activation is required for translocation of apoptosis-inducing factor (AIF) from the mitochondria to the nucleus and that AIF is necessary for PARP-1-dependent cell death. N-methyl-N'-nitro-N-nitrosoguanidine, H2O2, and N-methyl-d-aspartate induce AIF translocation and cell death, which is prevented by PARP inhibitors or genetic knockout of PARP-1, but is caspase independent. Microinjection of an antibody to AIF protects against PARP-1-dependent cytotoxicity. These data support a model in which PARP-1 activation signals AIF release from mitochondria, resulting in a caspase-independent pathway of programmed cell death.
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            Using MetaboAnalyst 3.0 for Comprehensive Metabolomics Data Analysis.

            MetaboAnalyst (http://www.metaboanalyst.ca) is a comprehensive Web application for metabolomic data analysis and interpretation. MetaboAnalyst handles most of the common metabolomic data types from most kinds of metabolomics platforms (MS and NMR) for most kinds of metabolomics experiments (targeted, untargeted, quantitative). In addition to providing a variety of data processing and normalization procedures, MetaboAnalyst also supports a number of data analysis and data visualization tasks using a range of univariate, multivariate methods such as PCA (principal component analysis), PLS-DA (partial least squares discriminant analysis), heatmap clustering and machine learning methods. MetaboAnalyst also offers a variety of tools for metabolomic data interpretation including MSEA (metabolite set enrichment analysis), MetPA (metabolite pathway analysis), and biomarker selection via ROC (receiver operating characteristic) curve analysis, as well as time series and power analysis. This unit provides an overview of the main functional modules and the general workflow of the latest version of MetaboAnalyst (MetaboAnalyst 3.0), followed by eight detailed protocols. © 2016 by John Wiley & Sons, Inc.
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              The importance of serine metabolism in cancer

              Serine metabolism is frequently dysregulated in cancers; however, the benefit that this confers to tumors remains controversial. In many cases, extracellular serine alone is sufficient to support cancer cell proliferation, whereas some cancer cells increase serine synthesis from glucose and require de novo serine synthesis even in the presence of abundant extracellular serine. Recent studies cast new light on the role of serine metabolism in cancer, suggesting that active serine synthesis might be required to facilitate amino acid transport, nucleotide synthesis, folate metabolism, and redox homeostasis in a manner that impacts cancer.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Metabolites
                Metabolites
                metabolites
                Metabolites
                MDPI
                2218-1989
                14 April 2017
                June 2017
                : 7
                : 2
                : 14
                Affiliations
                [1 ]Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK; alonezi-sanad-mohammed-z@ 123456strath.ac.uk (S.A.); jonanstusiimire@ 123456must.ac.ug (J.T.); Louise.c.young@ 123456strath.ac.uk (L.C.Y.); c.j.clements@ 123456strath.ac.uk (C.J.C.); v.a.ferro@ 123456strath.ac.uk (V.A.F.)
                [2 ]Department of Pharmacy, Faculty of Medicine, Mbarara University of Science and Technology, P.O. Box 1410 Mbarara, Uganda
                [3 ]WestCHEM Department of Pure and Applied Chemistry, University of Strathclyde, Glasgow G1 1XL, UK; jennifer.wallace.101@ 123456strath.ac.uk (J.W.); mark.dufton@ 123456strath.ac.uk (M.J.D.); john.parkinson@ 123456strath.ac.uk (J.A.P.)
                [4 ]#204, Beesen Co. Ltd., Bio Venture Town, Yuseong Daero 1662, Dae Jeon 34054, Korea; jkypark@ 123456live.co.kr (J.-K.P.); confessor@ 123456hanmail.net (J.-W.J.)
                Author notes
                [* ]Correspondence: d.g.watson@ 123456strath.ac.uk ; Tel.: +44-141-548-2651
                Article
                metabolites-07-00014
                10.3390/metabo7020014
                5487985
                28420117
                77ea142d-b19e-4fe7-af80-d361d48827fc
                © 2017 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 17 March 2017
                : 12 April 2017
                Categories
                Article

                melittin,cisplatin,synergy,sensitive and resistant ovarian cancer cells,metabolomics

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