PROTEOMICS

Cover image for Vol. 14 Issue 4-5

Special Issue: REVIEWS 2014

March 2014

Volume 14, Issue 4-5

Pages 333–636

Issue edited by: Michael J. Dunn

  1. Cover Picture

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Contents
    5. Editorial
    6. Bioinformatics
    7. Biomedicine
    8. Cell Biology
    9. Glycoproteomics
    10. Microbiology
    11. Plant Proteomics
    12. Technology
    1. You have free access to this content
      Cover page illustration

      Article first published online: 4 MAR 2014 | DOI: 10.1002/pmic.201470020

      Thumbnail image of graphical abstract

      In distributed computing, the overall task of data processing is split into a number of smaller subtasks. Ideally, most or even all of these subtasks can be ran in parallel, allowing multiple computers (so-called worker nodes) to work together to achieve the results much faster than an individual computer could. Yet such parallel processing requires sophisticated data storage approaches that maximize the simultaneous availability of these data to the different worker nodes, coupled with careful coordination of the nodes' computational effort. This central task is typically handled by a dedicated controller node that manages the incoming requests for processing power and storage allocation, and distributes these across the network. Over the years, frameworks for such distributed computing platforms have taken on various forms, their evolution essentially keeping lockstep with the increasingly connected nature of computers. The advent of early, local networks fostered the development of cluster computing approaches that subsequently matured into even more spreadout and generic GRID computing architectures once these networks grew large and fast enough to connect entire buildings. With the emergence of the internet and the adoption of high-speed links between data centres around the world, these GRIDs have now opened up into cloud based systems where both storage and computing are transparently handled by on-demand worker nodes thatmay be located anywhere in globally spread out networks.

      For further details see article in this issue by Kenneth Verheggen, Harald Barsnes and Lennart Martens, Proteomics 2014, 14, 367–377 (DOI: 10.1002/pmic.201300288).

      Illustration created by Kenneth Verheggen, Harald Barsnes and Lennart Martens; cover design by SCHULZ Grafik-Design.

  2. Editorial Board

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Contents
    5. Editorial
    6. Bioinformatics
    7. Biomedicine
    8. Cell Biology
    9. Glycoproteomics
    10. Microbiology
    11. Plant Proteomics
    12. Technology
    1. Editorial Board: Proteomics 4-5'14

      Article first published online: 4 MAR 2014 | DOI: 10.1002/pmic.201470021

  3. Contents

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Contents
    5. Editorial
    6. Bioinformatics
    7. Biomedicine
    8. Cell Biology
    9. Glycoproteomics
    10. Microbiology
    11. Plant Proteomics
    12. Technology
    1. You have free access to this content
      Contents: Proteomics 4-5'14

      Article first published online: 4 MAR 2014 | DOI: 10.1002/pmic.201470022

  4. Editorial

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Contents
    5. Editorial
    6. Bioinformatics
    7. Biomedicine
    8. Cell Biology
    9. Glycoproteomics
    10. Microbiology
    11. Plant Proteomics
    12. Technology
    1. You have free access to this content
      PROTEOMICS Reviews 2014 (pages 333–337)

      Michael J. Dunn

      Article first published online: 4 MAR 2014 | DOI: 10.1002/pmic.201470023

  5. Bioinformatics

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Contents
    5. Editorial
    6. Bioinformatics
    7. Biomedicine
    8. Cell Biology
    9. Glycoproteomics
    10. Microbiology
    11. Plant Proteomics
    12. Technology
    1. Dynamic protein interaction network construction and applications (pages 338–352)

      Jianxin Wang, Xiaoqing Peng, Wei Peng and Fang-Xiang Wu

      Article first published online: 4 MAR 2014 | DOI: 10.1002/pmic.201300257

    2. Machine learning applications in proteomics research: How the past can boost the future (pages 353–366)

      Pieter Kelchtermans, Wout Bittremieux, Kurt De Grave, Sven Degroeve, Jan Ramon, Kris Laukens, Dirk Valkenborg, Harald Barsnes and Lennart Martens

      Article first published online: 21 JAN 2014 | DOI: 10.1002/pmic.201300289

  6. Biomedicine

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Contents
    5. Editorial
    6. Bioinformatics
    7. Biomedicine
    8. Cell Biology
    9. Glycoproteomics
    10. Microbiology
    11. Plant Proteomics
    12. Technology
    1. Proteome of brain glia: The molecular basis of diverse glial phenotypes (pages 378–398)

      Mithilesh Kumar Jha, Jae-Hong Kim and Kyoungho Suk

      Article first published online: 29 OCT 2013 | DOI: 10.1002/pmic.201300236

    2. Proteomics in investigation of cancer metastasis: Functional and clinical consequences and methodological challenges (pages 426–440)

      Josef Maryáš, Jakub Faktor, Monika Dvořáková, Iva Struhárová, Peter Grell and Pavel Bouchal

      Article first published online: 6 JAN 2014 | DOI: 10.1002/pmic.201300264

    3. You have full text access to this OnlineOpen article
      Applications of mass spectrometry for quantitative protein analysis in formalin-fixed paraffin-embedded tissues (pages 441–451)

      Carine Steiner, Axel Ducret, Jean-Christophe Tille, Marlene Thomas, Thomas A. McKee, Laura Rubbia-Brandt, Alexander Scherl, Pierre Lescuyer and Paul Cutler

      Article first published online: 4 MAR 2014 | DOI: 10.1002/pmic.201300311

    4. Mitochondria in metabolic disease: Getting clues from proteomic studies (pages 452–466)

      Juan R. Peinado, Alberto Diaz-Ruiz, Gema Frühbeck and Maria M. Malagon

      Article first published online: 4 MAR 2014 | DOI: 10.1002/pmic.201300376

    5. Ten years of proteomics in multiple sclerosis (pages 467–480)

      Alessandro S. Farias, Fernando Pradella, Andrea Schmitt, Leonilda M. B. Santos and Daniel Martins-de-Souza

      Article first published online: 4 MAR 2014 | DOI: 10.1002/pmic.201300268

  7. Cell Biology

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Contents
    5. Editorial
    6. Bioinformatics
    7. Biomedicine
    8. Cell Biology
    9. Glycoproteomics
    10. Microbiology
    11. Plant Proteomics
    12. Technology
    1. The next level of complexity: Crosstalk of posttranslational modifications (pages 513–524)

      A. Saskia Venne, Laxmikanth Kollipara and René P. Zahedi

      Article first published online: 6 JAN 2014 | DOI: 10.1002/pmic.201300344

  8. Glycoproteomics

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Contents
    5. Editorial
    6. Bioinformatics
    7. Biomedicine
    8. Cell Biology
    9. Glycoproteomics
    10. Microbiology
    11. Plant Proteomics
    12. Technology
    1. Cell surface protein glycosylation in cancer (pages 525–546)

      Maja N. Christiansen, Jenny Chik, Ling Lee, Merrina Anugraham, Jodie L. Abrahams and Nicolle H. Packer

      Article first published online: 4 MAR 2014 | DOI: 10.1002/pmic.201300387

  9. Microbiology

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Contents
    5. Editorial
    6. Bioinformatics
    7. Biomedicine
    8. Cell Biology
    9. Glycoproteomics
    10. Microbiology
    11. Plant Proteomics
    12. Technology
    1. Quantitative proteomics in the field of microbiology (pages 547–565)

      Andreas Otto, Dörte Becher and Frank Schmidt

      Article first published online: 4 MAR 2014 | DOI: 10.1002/pmic.201300403

  10. Plant Proteomics

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Contents
    5. Editorial
    6. Bioinformatics
    7. Biomedicine
    8. Cell Biology
    9. Glycoproteomics
    10. Microbiology
    11. Plant Proteomics
    12. Technology
    1. Proteomics of aluminum tolerance in plants (pages 566–578)

      Lu Zheng, Ping Lan, Ren Fang Shen and Wen Feng Li

      Article first published online: 4 MAR 2014 | DOI: 10.1002/pmic.201300252

    2. Quantitative analysis of protein turnover in plants (pages 579–592)

      Clark J. Nelson, Lei Li and A. Harvey Millar

      Article first published online: 5 FEB 2014 | DOI: 10.1002/pmic.201300240

    3. Rice proteomics: A model system for crop improvement and food security (pages 593–610)

      Sun Tae Kim, Sang Gon Kim, Ganesh Kumar Agrawal, Shoshi Kikuchi and Randeep Rakwal

      Article first published online: 22 JAN 2014 | DOI: 10.1002/pmic.201300388

  11. Technology

    1. Top of page
    2. Cover Picture
    3. Editorial Board
    4. Contents
    5. Editorial
    6. Bioinformatics
    7. Biomedicine
    8. Cell Biology
    9. Glycoproteomics
    10. Microbiology
    11. Plant Proteomics
    12. Technology
    1. Free-flow electrophoresis in proteome sample preparation (pages 629–636)

      Robert Wildgruber, Gerhard Weber, Petra Wise, Daniela Grimm and Johann Bauer

      Article first published online: 29 OCT 2013 | DOI: 10.1002/pmic.201300253

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