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      Extensive quantitative remodeling of the proteome between normal colon tissue and adenocarcinoma

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          Abstract

          • First large-scale proteomic analysis of microdissected tissue from archival formalin-fixed and paraffin-embedded material.

          • Quantitation of 7576 proteins between patient-matched samples of normal colonic mucosa, primary cancer, and nodal metastasis.

          • Expression levels of 1808 proteins changed significantly between normal and cancer tissues.

          • Total Protein Approach (TPA)—a new way to determine protein copy numbers per cell without protein standards.

          Abstract

          We report a proteomic analysis of microdissected material from formalin-fixed and paraffin-embedded colorectal cancer, quantifying >7500 proteins between patient matched normal mucosa, primary carcinoma, and nodal metastases. Expression levels of 1808 proteins changed significantly between normal and cancer tissues, a much larger fraction than that reported in transcript-based studies. Tumor cells exhibit extensive alterations in the cell-surface and nuclear proteomes. Functionally similar changes in the proteome were observed comparing rapidly growing and differentiated CaCo-2 cells. In contrast, there was minimal proteomic remodeling between primary cancer and metastases, suggesting that no drastic proteome changes are necessary for the tumor to propagate in a different tissue context. Additionally, we introduce a new way to determine protein copy numbers per cell without protein standards. Copy numbers estimated in enterocytes and cancer cells are in good agreement with CaCo-2 and HeLa cells and with the literature data. Our proteomic data set furthermore allows mapping quantitative changes of functional protein classes, enabling novel insights into the biology of colon cancer.

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          Most cited references41

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          Higher-energy C-trap dissociation for peptide modification analysis.

          Peptide sequencing is the basis of mass spectrometry-driven proteomics. Here we show that in the linear ion trap-orbitrap mass spectrometer (LTQ Orbitrap) peptide ions can be efficiently fragmented by high-accuracy and full-mass-range tandem mass spectrometry (MS/MS) via higher-energy C-trap dissociation (HCD). Immonium ions generated via HCD pinpoint modifications such as phosphotyrosine with very high confidence. Additionally we show that an added octopole collision cell facilitates de novo sequencing.
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            Combination of FASP and StageTip-based fractionation allows in-depth analysis of the hippocampal membrane proteome.

            Membrane proteomics is challenging because the desirable strong detergents are incompatible with downstream analysis. Recently, we demonstrated efficient removal of SDS by the filter aided sample preparation method (FASP). Here we combine FASP with our previously described small-scale membrane enrichment protocol. Analysis of a single mouse hippocampus enables identification of more than 1000 membrane proteins in a single LC-MS/MS run without protein or peptide prefractionation. To extend proteome coverage, we developed a simple anion exchange fractionation method in a StageTip format. When separating peptides into six fractions, a duplicate analysis resulted in identification of 4206 proteins of which 64% were membrane proteins. This data set covers 83% of glutamate and GABA receptor subunits identified in hippocampus in the Allen Brain Atlas and adds further isoforms. The combined method provides a streamlined protocol for rapid and sensitive membrane proteome mapping. We also provide a generic protocol for combining FASP with StageTip-based ion exchange fractionation, which is generally applicable to proteome analysis.
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              Super-SILAC mix for quantitative proteomics of human tumor tissue.

              We describe a method to accurately quantify human tumor proteomes by combining a mixture of five stable-isotope labeling by amino acids in cell culture (SILAC)-labeled cell lines with human carcinoma tissue. This generated hundreds of thousands of isotopically labeled peptides in appropriate amounts to serve as internal standards for mass spectrometry-based analysis. By decoupling the labeling from the measurement, this super-SILAC method broadens the scope of SILAC-based proteomics.
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                Author and article information

                Journal
                Mol Syst Biol
                Mol. Syst. Biol
                Molecular Systems Biology
                Nature Publishing Group
                1744-4292
                2012
                11 September 2012
                11 September 2012
                : 8
                : 611
                Affiliations
                [1 ]Department of Proteomics and Signal Transduction, Max-Planck-Institute of Biochemistry , Martinsried, Germany
                [2 ]Department of Pathology, Wrocław Medical University , Wrocław, Poland
                Author notes
                [a ]Department of Proteomics and Signal Transduction, Max-Planck-Institute of Biochemistry , Am Klopferspitz 18, 82152 Martinsried, Germany. Tel.:+49 89 8578 2205; Fax:+49 89 8578 2219; E-mail: jwisniew@ 123456biochem.mpg.de
                [b ]Department of Proteomics and Signal Transduction, Max-Planck-Institute of Biochemistry , Am Klopferspitz 18, 82152 Martinsried, Germany. Tel.:+49 89 8578 2557; Fax:+49 89 8578 2219; E-mail: mmann@ 123456biochem.mpg.de
                [*]

                Present address: Department of Bioinformatics, Genentech, Inc., South San Francisco, CA, USA

                [†]

                Present address: The Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark

                Article
                msb201244
                10.1038/msb.2012.44
                3472694
                22968445
                67533d29-f864-48ed-8ec5-fde7413cb0c9
                Copyright © 2012, EMBO and Macmillan Publishers Limited

                This is an open-access article distributed under the terms of the Creative Commons Attribution Noncommercial Share Alike 3.0 Unported License, which allows readers to alter, transform, or build upon the article and then distribute the resulting work under the same or similar license to this one. The work must be attributed back to the original author and commercial use is not permitted without specific permission.

                History
                : 25 May 2012
                : 08 August 2012
                Categories
                Article

                Quantitative & Systems biology
                microdissection,quantitative proteomics,fasp,colon cancer,ffpe tissue

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