Preface... Table of Contents... Contributing Authors...
Part I New Biological Insights from Technological Breakthroughs 1. Next Generation Proteomics for Clinical Biomarker Detection using SWATH-MS Qifeng Lin, Hwee Tong Tan, and Maxey C. M. Chung 2. A Combined Chemical Derivatization/Mass Spectrometric Method for the Enhanced Detection and Relative Quantification of Protein Ubiquitination Navin Chicooree and John R. Griffiths 3. Assessment of Ubiquitin Chain Topology by Targeted Mass Spectrometry Joseph Longworth and Gunnar Dittmar 4. Quantitative Phosphoproteomic using Titanium Dioxide Micro-Columns and Label Free Quantitation Martin E. Barrios-LLerena and Thierry Le Bihan 5. Isotopic Labeling and Quantitative Proteomics of Acetylation on Histones and Beyond Peder J. Lund, Yekaterina Kori, Xiaolu Zhao, Simone Sidoli, Zuo-Fei Yuan, and Benjamin A. Garcia 6. Quantitative Analysis of Protein S-Acylation Site Dynamics Using Site-Specific Acyl-Biotin Exchange (ssABE) Keith T. Woodley and Mark O. Collins 7. Reducing Complexity? Cysteine Reduction and S-alkylation in Proteomic Workflows: Practical Considerations Caroline A. Evans 8. Detection of Unknown Chemical Adduct Modifications on Proteins: From Wet to Dry Laboratory Paola Antinori, Th?o Michelot, Pierre Lescuyer, Markus M?ller, and Adelina E. Acosta-Martin 9. Considerations for Identifying Endogenous Protein Complexes from Tissue via Immunoaffinity Purification and Quantitative Mass Spectrometry Joel D. Federspiel and Ileana M. Cristea 10. Metaproteomics of Freshwater Microbial Communities David A. Russo, Narciso Couto, Andrew P. Beckerman, and Jagroop Pandhal Part II Dealing with Proteomics Data in a Big Data Era 11. Peptide-to-Protein Summarization: An Important Step for Accurate Quantification In Label-Based Proteomics Martina Fischer, Thilo Muth, and Bernhard Y. Renard 12. Experimental Design in Quantitative Proteomics Tomasz Burzykowski, J?rgen Claesen, and Dirk Valkenborg 13. Practical Integration of Multi-Run iTRAQ Data Dana Pascovici, Xiaomin Song, Jemma Wu, Thiri Zaw, and Mark Molloy 14. Quantitative Proteomics Data in the Public Domain: Challenges and Opportunities Andrew F. Jarnuczak, Tobias Ternent, and Juan Antonio Vizca?no 15. Computational Proteomics with Jupyter and Python Lars Malmstr?m 16. The Galaxy Platform for Reproducible Affinity Proteomic Mass Spectrometry Data Analysis Paul A. Stewart, Brent M. Kuenzi, Subina Mehta, Praveen Kumar, James E. Johnson, Pratik Jagtap, Timothy J. Griffin, and Eric B. Haura
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