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      The Proteome of Human Liver Peroxisomes: Identification of Five New Peroxisomal Constituents by a Label-Free Quantitative Proteomics Survey

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          Abstract

          The peroxisome is a key organelle of low abundance that fulfils various functions essential for human cell metabolism. Severe genetic diseases in humans are caused by defects in peroxisome biogenesis or deficiencies in the function of single peroxisomal proteins. To improve our knowledge of this important cellular structure, we studied for the first time human liver peroxisomes by quantitative proteomics. Peroxisomes were isolated by differential and Nycodenz density gradient centrifugation. A label-free quantitative study of 314 proteins across the density gradient was accomplished using high resolution mass spectrometry. By pairing statistical data evaluation, cDNA cloning and in vivo colocalization studies, we report the association of five new proteins with human liver peroxisomes. Among these, isochorismatase domain containing 1 protein points to the existence of a new metabolic pathway and hydroxysteroid dehydrogenase like 2 protein is likely involved in the transport or β-oxidation of fatty acids in human peroxisomes. The detection of alcohol dehydrogenase 1A suggests the presence of an alternative alcohol-oxidizing system in hepatic peroxisomes. In addition, lactate dehydrogenase A and malate dehydrogenase 1 partially associate with human liver peroxisomes and enzyme activity profiles support the idea that NAD + becomes regenerated during fatty acid β-oxidation by alternative shuttling processes in human peroxisomes involving lactate dehydrogenase and/or malate dehydrogenase. Taken together, our data represent a valuable resource for future studies of peroxisome biochemistry that will advance research of human peroxisomes in health and disease.

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          Most cited references35

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          Proteomic characterization of the human centrosome by protein correlation profiling.

          The centrosome is the major microtubule-organizing centre of animal cells and through its influence on the cytoskeleton is involved in cell shape, polarity and motility. It also has a crucial function in cell division because it determines the poles of the mitotic spindle that segregates duplicated chromosomes between dividing cells. Despite the importance of this organelle to cell biology and more than 100 years of study, many aspects of its function remain enigmatic and its structure and composition are still largely unknown. We performed a mass-spectrometry-based proteomic analysis of human centrosomes in the interphase of the cell cycle by quantitatively profiling hundreds of proteins across several centrifugation fractions. True centrosomal proteins were revealed by both correlation with already known centrosomal proteins and in vivo localization. We identified and validated 23 novel components and identified 41 likely candidates as well as the vast majority of the known centrosomal proteins in a large background of nonspecific proteins. Protein correlation profiling permits the analysis of any multiprotein complex that can be enriched by fractionation but not purified to homogeneity.
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            PSORT: a program for detecting sorting signals in proteins and predicting their subcellular localization.

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              Trypsin cleaves exclusively C-terminal to arginine and lysine residues.

              Almost all large-scale projects in mass spectrometry-based proteomics use trypsin to convert protein mixtures into more readily analyzable peptide populations. When searching peptide fragmentation spectra against sequence databases, potentially matching peptide sequences can be required to conform to tryptic specificity, namely, cleavage exclusively C-terminal to arginine or lysine. In many published reports, however, significant numbers of proteins are identified by non-tryptic peptides. Here we use the sub-parts per million mass accuracy of a new ion trap Fourier transform mass spectrometer to achieve more than a 100-fold increased confidence in peptide identification compared with typical ion trap experiments and show that trypsin cleaves solely C-terminal to arginine and lysine. We find that non-tryptic peptides occur only as the C-terminal peptides of proteins and as breakup products of fully tryptic peptides N-terminal to an internal proline. Simulating lower mass accuracy led to a large number of proteins erroneously identified with non-tryptic peptide hits. Our results indicate that such peptide hits in previous studies should be re-examined and that peptide identification should be based on strict trypsin specificity.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                27 February 2013
                : 8
                : 2
                : e57395
                Affiliations
                [1 ]Department of Molecular Genetics and Cell Biology, Ulm University, Ulm, Germany
                [2 ]Institut für Biologie II, Funktionelle Proteomik, Fakultät für Biologie and BIOSS Centre for Biological Signalling Studies, Universität Freiburg, Freiburg, Germany
                [3 ]Laboratory of Genetic Metabolic Diseases, Department of Clinical Chemistry and Pediatrics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
                [4 ]Medizinisches Proteom-Center, Ruhr-Universität Bochum, Bochum, Germany
                [5 ]Leibniz-Institut für Analytische Wissenschaften - ISAS e.V., Dortmund, Germany
                [6 ]Abteilung für Systembiochemie, Medizinische Fakultät, Ruhr-Universität Bochum, Bochum, Germany
                Drexel University College of Medicine, United States of America
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: TG RE HM RW BW. Performed the experiments: TG SW RO CB MP HH ME. Analyzed the data: SW TG ME CS HW BW. Contributed reagents/materials/analysis tools: TG BW HM. Wrote the paper: BW TG SW.

                [¤]

                Current address: Abteilung für Lebensmittelchemie, Fachbereich C – Mathematik und Naturwissenschaften, Bergische Universität Wuppertal, Wuppertal, Germany

                Article
                PONE-D-11-23511
                10.1371/journal.pone.0057395
                3583843
                23460848
                4caca674-605e-4092-b318-a15281445300
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 14 October 2011
                : 24 January 2013
                Page count
                Pages: 12
                Funding
                This research is supported by the FP6 European Union Project “Peroxisome” (LSHG-CT-2004–512018) as well as by the Deutsche Forschungsgemeinschaft and the Excellence Initiative of the German Federal and State Governments (EXC 294 BIOSS Centre for Biological Signalling Studies). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Biochemistry
                Lipids
                Fatty Acids
                Lipid Metabolism
                Proteins
                Proteome
                Molecular Cell Biology
                Cellular Structures
                Subcellular Organelles
                Cellular Types
                Eukaryotic Cells
                Proteomics
                Peptide Mapping
                Protein Abundance
                Protein Interactions
                Proteomic Databases
                Spectrometric Identification of Proteins

                Uncategorized
                Uncategorized

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