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      Integrated multi-omics characterization reveals a distinctive metabolic signature and the role of NDUFA4L2 in promoting angiogenesis, chemoresistance, and mitochondrial dysfunction in clear cell renal cell carcinoma

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          Abstract

          An altered metabolism is involved in the development of clear cell - renal cell carcinoma (ccRCC), and in this tumor many altered genes play a fundamental role in controlling cell metabolic activities. We delineated a large-scale metabolomic profile of human ccRCC, and integrated it with transcriptomic data to connect the variations in cancer metabolism with gene expression changes. Moreover, to better analyze the specific contribution of metabolic gene alterations potentially associated with tumorigenesis and tumor progression, we evaluated the transcription profile of primary renal tumor cells. Untargeted metabolomic analysis revealed a signature of an increased glucose uptake and utilization in ccRCC. In addition, metabolites related to pentose phosphate pathway were also altered in the tumor samples in association with changes in Krebs cycle intermediates and related metabolites. We identified NADH dehydrogenase (ubiquinone) 1 alpha subcomplex 4-like 2 (NDUFA4L2) as the most highly expressed gene in renal cancer cells and evaluated its role in sustaining angiogenesis, chemoresistance, and mitochondrial dysfunction. Finally, we showed that silencing of NDUFA4L2 affects cell viability, increases mitochondrial mass, and induces ROS generation in hypoxia.

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          An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma.

          Dysregulated metabolism is a hallmark of cancer, manifested through alterations in metabolites. We performed metabolomic profiling on 138 matched clear cell renal cell carcinoma (ccRCC)/normal tissue pairs and found that ccRCC is characterized by broad shifts in central carbon metabolism, one-carbon metabolism, and antioxidant response. Tumor progression and metastasis were associated with metabolite increases in glutathione and cysteine/methionine metabolism pathways. We develop an analytic pipeline and visualization tool (metabolograms) to bridge the gap between TCGA transcriptomic profiling and our metabolomic data, which enables us to assemble an integrated pathway-level metabolic atlas and to demonstrate discordance between transcriptome and metabolome. Lastly, expression profiling was performed on a high-glutathione cluster, which corresponds to a poor-survival subgroup in the ccRCC TCGA cohort.
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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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              Induction of the mitochondrial NDUFA4L2 protein by HIF-1α decreases oxygen consumption by inhibiting Complex I activity.

              The fine regulation of mitochondrial function has proved to be an essential metabolic adaptation to fluctuations in oxygen availability. During hypoxia, cells activate an anaerobic switch that favors glycolysis and attenuates the mitochondrial activity. This switch involves the hypoxia-inducible transcription factor-1 (HIF-1). We have identified a HIF-1 target gene, the mitochondrial NDUFA4L2 (NADH dehydrogenase [ubiquinone] 1 alpha subcomplex, 4-like 2). Our results, obtained employing NDUFA4L2-silenced cells and NDUFA4L2 knockout murine embryonic fibroblasts, indicate that hypoxia-induced NDUFA4L2 attenuates mitochondrial oxygen consumption involving inhibition of Complex I activity, which limits the intracellular ROS production under low-oxygen conditions. Thus, reducing mitochondrial Complex I activity via NDUFA4L2 appears to be an essential element in the mitochondrial reprogramming induced by HIF-1. Copyright © 2011 Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                Aging (Albany NY)
                Aging (Albany NY)
                Aging
                Aging (Albany NY)
                Impact Journals
                1945-4589
                December 2018
                11 December 2018
                : 10
                : 12
                : 3957-3985
                Affiliations
                [1 ]Department of Emergency and Organ Transplantation- Urology, Andrology and Kidney Transplantation Unit, University of Bari , Bari, , Italy
                [2 ]Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari , Bari, , Italy
                [3 ]Department of Biomedical Sciences and Human Oncology, Medical Genetics, University of Bari , Bari, , Italy
                [4 ]Department of Emergency and Organ Transplantation, Pathology Unit, University of Bari , Bari, , Italy
                [5 ]Department of Health Sciences, School of Medicine and Surgery, University of Milano Bicocca , Milan, , Italy
                [6 ]Division of Urology, European Institute of Oncology , Milan, , Italy
                [7 ]Department of Medical and Surgical Sciences, Molecular Medicine Center, Section of Clinical Pathology, University of Foggia , Foggia, , Italy
                [8 ]National Institute of Gastroenterology, ‘S de Bellis’, Castellana Grotte, Bari, , Italy
                [9 ]Metabolon, Inc., Research Triangle Park, Morrisville, NC 27560, , USA
                [* ]Equal contribution
                Author notes
                Correspondence to: Giuseppe Lucarelli; email: giuseppe.lucarelli@ 123456inwind.it
                Article
                101685
                10.18632/aging.101685
                6326659
                30538212
                aa02b09f-1bf7-4904-807a-c234f01ba5ae
                Copyright © 2018 Lucarelli et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY) 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 04 October 2018
                : 22 November 2018
                Categories
                Research Paper

                Cell biology
                renal cell carcinoma,metabolomics,transcriptome,ndufa4l2,mitochondria
                Cell biology
                renal cell carcinoma, metabolomics, transcriptome, ndufa4l2, mitochondria

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