
Proteomics
Description
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The focus is on proteomic methods and strategies that are reliable and of general applicability. Each chapter presents descriptions of what can, and cannot, be achieved with the relevant procedures so that readers can make informed judgments prior to establishing the methods in-house.
Every chapter discusses the merits and limitations of various approaches then provides tried-and-tested protocols with hints and tips for success and troubleshooting for when things go wrong.
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Content
Yan Li, Phil Oh, and Jan E. Schnitzer, Sidney Kimmel Cancer Center
2. An isotope-coding strategy for quantitative proteomics
Xian Chen, Dept of Biochemistry and Biophysics, University of N. Carolina at Chapel Hill
3. Gel-based approaches
Stuart Cordwell and Ben Crossett, both at School of Molecular and Microbial Biosciences, University of Sydney, and Melanie Y. White, Minomic Pty Ltd
4. Peptide sorting by reverse-phase diagonal chromatography
Kris Gevaert and Joel Vandekerckhove, Faculty of Medicine and Health Sciences, Ghent University
5. Mass spectrometry strategies for protein identification
David R. Goodlett, University of Washington and Garry L. Corthals, University of Turku
6. Desorption electrospray ionization: proteomics studies by a method that bridges ESI and MALDI
Zoltan Takats, Justin M. Wiseman, Demian R. Ifa and R.Graham Cooks, all at Dept of Chemistry, Purdue University
7. Analysis of cellular protein complexes by affinity purification and mass spectrometry
Tilmann Buerckstuemmer and Keiryn L. Bennett, both at Research Center for Molecular Medicine of the Austrian Academy of Sciences
8. Clinical proteomic profiling and disease signatures
Rosamonde E. Banks, David A. Cairns, David N. Perkins and Jennifer H. Barrett, all at Cancer Research UK Clinical Centre, St James' s University Hospital, Leeds
9. Characterization of post-translational modifications: undertaking the phosphoproteome
W. Andy Tao, Purdue University; Bernd Bodenmiller and Ruedi Aebersold, both Institute for Molecular Systems Biology, Federal Institute of Technology, Zurich
10. Protein microarray technologies
Chien-Sheng Chen, Sheng-Ce Tao, and Heng Zhu, Dept of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine
11. Intelligent mining of complex data: challenging the proteomic bottleneck
Dan Bach Kristensen, Maxygen and Alexandre Potelejnikov, Proxeon
12. Bioinformatic approaches in proteomics
Sandra Orchard and Henning Hermjakob, both European Bioinformatics Institute, Hinxton
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