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There are 164554 results for: content related to: Quantitative proteomics: A strategic ally to map protein interaction networks

  1. Quantitative proteomics using SILAC: Principles, applications, and developments


    Volume 15, Issue 18, September 2015, Pages: 3175–3192, Xiulan Chen, Shasha Wei, Yanlong Ji, Xiaojing Guo and Fuquan Yang

    Version of Record online : 14 JUL 2015, DOI: 10.1002/pmic.201500108

  2. Resolving protein interactions and complexes by affinity purification followed by label-based quantitative mass spectrometry


    Volume 12, Issue 10, May 2012, Pages: 1623–1638, Laura Trinkle-Mulcahy

    Version of Record online : 19 JUN 2012, DOI: 10.1002/pmic.201100438

  3. SILAC for biomarker discovery

    PROTEOMICS - Clinical Applications

    Volume 9, Issue 3-4, April 2015, Pages: 301–306, Gunnar Dittmar  and Matthias Selbach

    Version of Record online : 10 FEB 2015, DOI: 10.1002/prca.201400112

  4. An enhanced chemically defined SILAC culture system for quantitative proteomics study of human embryonic stem cells


    Volume 11, Issue 20, October 2011, Pages: 4040–4046, Shuai Wang, Ruijun Tian, Li Li, Daniel Figeys and Lisheng Wang

    Version of Record online : 31 AUG 2011, DOI: 10.1002/pmic.201100052

  5. Monitoring matrix metalloproteinase activity at the epidermal–dermal interface by SILAC-iTRAQ-TAILS


    Volume 15, Issue 14, July 2015, Pages: 2491–2502, Pascal Schlage, Tobias Kockmann, Jayachandran N. Kizhakkedathu and Ulrich auf dem Keller

    Version of Record online : 15 MAY 2015, DOI: 10.1002/pmic.201400627

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    New dimensions in the study of protein complexes using quantitative mass spectrometry

    FEBS Letters

    Volume 583, Issue 11, June 05, 2009, Pages: 1674–1683, Silke Oeljeklaus, Helmut E. Meyer and Bettina Warscheid

    Version of Record online : 17 APR 2009, DOI: 10.1016/j.febslet.2009.04.018

  7. Systematic evaluation of label-free and super-SILAC quantification for proteome expression analysis

    Rapid Communications in Mass Spectrometry

    Volume 29, Issue 9, 15 May 2015, Pages: 795–801, Andreas Tebbe, Martin Klammer, Stefanie Sighart, Christoph Schaab and Henrik Daub

    Version of Record online : 25 MAR 2015, DOI: 10.1002/rcm.7160

  8. Using SILAC and quantitative proteomics to investigate the interactions between viral and host proteomes


    Volume 12, Issue 4-5, February 2012, Pages: 666–672, Diane C. Munday, Rebecca Surtees, Edward Emmott, Brian K. Dove, Paul Digard, John N. Barr, Adrian Whitehouse, David Matthews and Julian A. Hiscox

    Version of Record online : 19 JAN 2012, DOI: 10.1002/pmic.201100488

  9. Exploring intercellular signaling by proteomic approaches


    Volume 14, Issue 4-5, March 2014, Pages: 498–512, Ruijun Tian

    Version of Record online : 11 NOV 2013, DOI: 10.1002/pmic.201300259

  10. Application of the SILAC (stable isotope labelling with amino acids in cell culture) technique in quantitative comparisons for tissue proteome expression

    Biotechnology and Applied Biochemistry

    Volume 54, Issue 1, September 2009, Pages: 11–20, Yuhuan Xu, Shufang Liang, Guobo Shen, Xuejiao Xu, Qingping Liu, Zhizhong Xu, Fengming Gong, Minghai Tang and Yuquan Wei

    Version of Record online : 23 DEC 2010, DOI: 10.1042/BA20090007

  11. Quantitative proteomics in the field of microbiology


    Volume 14, Issue 4-5, March 2014, Pages: 547–565, Andreas Otto, Dörte Becher and Frank Schmidt

    Version of Record online : 4 MAR 2014, DOI: 10.1002/pmic.201300403

  12. Evaluation of the accuracy of protein quantification using isotope TMPP-labeled peptides


    Volume 15, Issue 17, September 2015, Pages: 2903–2909, Hongyan Shen, Mingrui An, Xiao Zou, Xuyang Zhao, Qingsong Wang, Guowen Xing and Jianguo Ji

    Version of Record online : 11 JUN 2015, DOI: 10.1002/pmic.201400495

  13. SILAC-based quantitative proteomic analysis of secretome between activated and reverted hepatic stellate cells


    Volume 14, Issue 17-18, September 2014, Pages: 1977–1986, Hongyu Zhang, Peng Wu, Fangyan Chen, Yunwei Hao, Yuanxiang Lao, Liangliang Ren, Longqin Sun, Wei Sun, Handong Wei, Daniel W. Chan, Ying Jiang and Fuchu He

    Version of Record online : 4 AUG 2014, DOI: 10.1002/pmic.201300539

  14. Dynamics of zebrafish fin regeneration using a pulsed SILAC approach


    Volume 15, Issue 4, February 2015, Pages: 739–751, Hendrik Nolte, Soraya Hölper, Michael P. Housley, Shariful Islam, Tanja Piller, Anne Konzer, Didier Y. R. Stainier, Thomas Braun and Marcus Krüger

    Version of Record online : 10 FEB 2015, DOI: 10.1002/pmic.201400316

  15. Analysis of EV71 infection progression using triple-SILAC-based proteomics approach


    Volume 15, Issue 21, November 2015, Pages: 3629–3643, Hao-Yu Li, Lei-Ke Zhang, Xiu-Juan Zhu, Jun Shang, Xi Chen, Ying Zhu and Lin Guo

    Version of Record online : 28 SEP 2015, DOI: 10.1002/pmic.201500180

  16. Identification of host factors involved in coronavirus replication by quantitative proteomics analysis


    Volume 11, Issue 1, No. 1 January 2011, Pages: 64–80, Mijke W. Vogels, Bas W. M. van Balkom, Dora V. Kaloyanova, Joseph J. Batenburg, Albert J. Heck, J. Bernd Helms, Peter J. M. Rottier and Cornelis A. M. de Haan

    Version of Record online : 6 DEC 2010, DOI: 10.1002/pmic.201000309

  17. Validation of regulated protein phosphorylation events in yeast by quantitative mass spectrometry analysis of purified proteins


    Volume 12, Issue 19-20, October 2012, Pages: 3030–3043, Wolfgang Reiter, Dorothea Anrather, Ilse Dohnal, Peter Pichler, Jiri Veis, Morten Grøtli, Francesc Posas and Gustav Ammerer

    Version of Record online : 19 SEP 2012, DOI: 10.1002/pmic.201200185

  18. Stable isotopic labeling in proteomics


    Volume 8, Issue 23-24, No. 23-24 December 2008, Pages: 4873–4885, Kris Gevaert, Francis Impens, Bart Ghesquière, Petra Van Damme, Anja Lambrechts and Joël Vandekerckhove

    Version of Record online : 10 NOV 2008, DOI: 10.1002/pmic.200800421

  19. Quantitative Proteomic Approaches in Mouse: Stable Isotope Incorporation by Metabolic (SILAC) or Chemical Labeling (Reductive Dimethylation) Combined with High-Resolution Mass Spectrometry


    Current Protocols in Mouse Biology


    Anja M. Billing, Hisham Ben Hamidane and Johannes Graumann

    Published Online : 2 MAR 2015, DOI: 10.1002/9780470942390.mo140156

  20. Global quantitative proteomics reveals novel factors in the ecdysone signaling pathway in Drosophila melanogaster


    Volume 15, Issue 4, February 2015, Pages: 725–738, Karen A. Sap, Karel Bezstarosti, Dick H. W. Dekkers, Mirjam van den Hout, Wilfred van Ijcken, Erikjan Rijkers and Jeroen A. A. Demmers

    Version of Record online : 14 JAN 2015, DOI: 10.1002/pmic.201400308