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      Quantitative maps of protein phosphorylation sites across 14 different rat organs and tissues

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          Abstract

          Deregulated cellular signalling is a common hallmark of disease, and delineating tissue phosphoproteomes is key to unravelling the underlying mechanisms. Here we present the broadest tissue catalogue of phosphoproteins to date, covering 31,480 phosphorylation sites on 7,280 proteins quantified across 14 rat organs and tissues. We provide the data set as an easily accessible resource via a web-based database, the CPR PTM Resource. A major fraction of the presented phosphorylation sites are tissue-specific and modulate protein interaction networks that are essential for the function of individual organs. For skeletal muscle, we find that phosphotyrosines are over-represented, which is mainly due to proteins involved in glycogenolysis and muscle contraction, a finding we validate in human skeletal muscle biopsies. Tyrosine phosphorylation is involved in both skeletal and cardiac muscle contraction, whereas glycogenolytic enzymes are tyrosine phosphorylated in skeletal muscle but not in the liver. The presented phosphoproteomic method is simple and rapid, making it applicable for screening of diseased tissue samples.

          Abstract

          The function of proteins is often regulated by their phosphorylation at specific amino-acid residues. The authors of this article have catalogued phosphoproteins and their phosphorylation sites in 14 rat organs and tissues, and provide these data as a resource for researchers.

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          Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.

          Quantitative proteomics has traditionally been performed by two-dimensional gel electrophoresis, but recently, mass spectrometric methods based on stable isotope quantitation have shown great promise for the simultaneous and automated identification and quantitation of complex protein mixtures. Here we describe a method, termed SILAC, for stable isotope labeling by amino acids in cell culture, for the in vivo incorporation of specific amino acids into all mammalian proteins. Mammalian cell lines are grown in media lacking a standard essential amino acid but supplemented with a non-radioactive, isotopically labeled form of that amino acid, in this case deuterated leucine (Leu-d3). We find that growth of cells maintained in these media is no different from growth in normal media as evidenced by cell morphology, doubling time, and ability to differentiate. Complete incorporation of Leu-d3 occurred after five doublings in the cell lines and proteins studied. Protein populations from experimental and control samples are mixed directly after harvesting, and mass spectrometric identification is straightforward as every leucine-containing peptide incorporates either all normal leucine or all Leu-d3. We have applied this technique to the relative quantitation of changes in protein expression during the process of muscle cell differentiation. Proteins that were found to be up-regulated during this process include glyceraldehyde-3-phosphate dehydrogenase, fibronectin, and pyruvate kinase M2. SILAC is a simple, inexpensive, and accurate procedure that can be used as a quantitative proteomic approach in any cell culture system.
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            A human phenome-interactome network of protein complexes implicated in genetic disorders.

            We performed a systematic, large-scale analysis of human protein complexes comprising gene products implicated in many different categories of human disease to create a phenome-interactome network. This was done by integrating quality-controlled interactions of human proteins with a validated, computationally derived phenotype similarity score, permitting identification of previously unknown complexes likely to be associated with disease. Using a phenomic ranking of protein complexes linked to human disease, we developed a Bayesian predictor that in 298 of 669 linkage intervals correctly ranks the known disease-causing protein as the top candidate, and in 870 intervals with no identified disease-causing gene, provides novel candidates implicated in disorders such as retinitis pigmentosa, epithelial ovarian cancer, inflammatory bowel disease, amyotrophic lateral sclerosis, Alzheimer disease, type 2 diabetes and coronary heart disease. Our publicly available draft of protein complexes associated with pathology comprises 506 complexes, which reveal functional relationships between disease-promoting genes that will inform future experimentation.
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              Improved visualization of protein consensus sequences by iceLogo.

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                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Pub. Group
                2041-1723
                06 June 2012
                : 3
                : 876
                Affiliations
                [1 ]Faculty of Health Sciences, NNF Center for Protein Research, University of Copenhagen , Blegdamsvej 3b, DK-2200 Copenhagen, Denmark.
                [2 ]The Danish National Research Foundation Centre for Cardiac Arrhythmia, Department of Biomedical Sciences, University of Copenhagen, 2100 Copenhagen, Denmark.
                [3 ]Novo Nordisk A/S, Novo Nordisk Park , DK-2760 Måløv, Denmark.
                [4 ]Pediatric Surgical Research Laboratory, Massachusets General Hospital , Boston, Massachusetts 02114, USA.
                [5 ]Harvard Medical School, Department of Surgery, Boston, Massachusetts 02115, USA.
                [6 ]The Broad Institute of MIT and Harvard , Cambridge, Massachusetts 02142, USA.
                [7 ]Department of Exercise and Sport Sciences, University of Copenhagen, Universitetsparken 13 , DK-2100 Copenhagen, Denmark.
                [8 ]Zürich Centre for Integrative Human Physiology, Department of Physiology, University of Zürich , Winterthurerstrasse 190, 8057 Zürich, Switzerland.
                [9 ]These authors contributed equally to this work.
                Author notes
                Article
                ncomms1871
                10.1038/ncomms1871
                3621391
                22673903
                f400d1d1-9a76-4da6-bf6b-18b9db298bd2
                Copyright © 2012, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.

                This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/

                History
                : 22 November 2011
                : 25 April 2012
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