Proteomics in Biology Part A, the latest volume in the Methods in Enzymology series, continues the legacy of this premier serial with quality chapters authored by leaders in the field, and a focus on proteomics for this updated volume.
Volume editor:
Arun K. Shukla (Indian Institute of Technology Kanpur India)
Imprint: Academic Press Inc
Country of Publication: United States
Volume: 585
Dimensions:
Height: 229mm,
Width: 152mm,
Weight: 1.040kg
ISBN: 9780128097427
ISBN 10: 0128097426
Series: Methods in Enzymology
Pages: 548
Publication Date: 27 January 2017
Audience:
Professional and scholarly
,
Undergraduate
Format: Hardback
Publisher's Status: Active
1. An Easy and Fast Protocol for Affinity Bead-Based Protein Enrichment and Storage of Proteome Samples A. Otto, S. Maaß, F. Bonn, K. Büttner and D. Becher 2. Filter Aided Sample Preparation the Versatile and Efficient Method for Proteomic Analysis J.R. Wisniewski 3. An Overview of Advanced SILAC Labeling Strategies for Quantitative Proteomics F. Terzi and S. Cambridge 4. Label Free and Standard Free Absolute Quantitative Proteomics Using the ‘Total Protein’ and ‘Proteomic Ruler’ Approaches J.R. Wisniewski 5. Separation of Two Distinct O-Glycoforms of Human IgA1 by Serial Lectin-Chromatography Followed by Mass Spectrometry O-Glycan Analysis S. Lehoux and T. Ju 6. Monitoring Protein Synthesis in Caenorhabditis Elegans Using SILAC M. Miyagi 7. Identification of Novel Macropinocytosing Human Antibodies by Phage Display and High-Content Analysis K.D. Ha, S.M. Bidlingmaier, Y. Su, N.-K. Lee and B. Liu 8. Beyond the Natural Proteome: Non-Degenerate Saturation Mutagenesis - Methodologies and Advantages M.M. Ferreira Amaral, L. Frigotto and A.V. Hine 9. WGCNA Application to Proteomic and Metabolomic Data Analysis G. Pei, L. Chen and W. Zhang 10. A Protocol for Large-Scale Proteomic Analysis of Microdissected Formalin Fixed and Paraffin Embedded Tissue P. Ostasiewicz and J.R. Wisniewski 11. Body Fluid Degradomics and Characterization of Basic N-Terminome F. Sabino, O. Hermes and U. auf dem Keller 12. Reannotation of Genomes by Means of Proteomics Data J. Armengaud 13. Proteogenomics: Recycling Public Data to Improve Genome Annotations A. McAfee and L.J. Foster 14. Targeted in-Depth Quantification of Signaling Using Label-Free Mass Spectrometry P.R. Cutillas 15. Biotin Switch Assays for Quantitation of Reversible Cysteine Oxidation R. Li and J. Kast 16. Application of a Thioredoxin Trapping Mutant for Analysis of the Cellular Nitrosoproteome M. Benhar 17. Combining Click-Chemistry Based Proteomics with Dox-Inducible Gene Expression J. Gebert, M. Schnölzer, U. Warnken and J. Kopitz 18. Analysis of the Proteome of Hair-Cell Stereocilia by Mass Spectrometry J.F. Krey, P.A. Wilmarth, L.L. David and P.G. Barr-Gillespie 19. Proteomic Analysis of Metabolic Responses to Biofuels and Chemicals in Photosynthetic Cyanobacteria T. Sun, L. Chen and W. Zhang 20. Deep Profiling of Proteome and Phosphoproteome by Isobaric Labeling, Extensive Liquid Chromatography and Mass Spectrometry B. Bai, H. Tan, V.R. Pagala, A.A. High, V.P. Ichhaporia, L. Hendershot and J. Peng 21. Glycoprotein Enrichment Analytical Techniques: Advantages and Disadvantages R. Zhu, L. Zacharias, K.M. Wooding, W. Peng and Y. Mechref 22. Quantitative Glycomics: A Combined Analytical and Bioinformatics Approach L. Veillon, S. Zhou and Y. Mechref
Dr. Arun K. Shukla is a world leader in the field of GPCR biology and he is currently a Professor in the Department of Biological Sciences and Bioengineering at the Institute of Technology, Kanpur in India. Dr. Shukla’s research program is focused on understanding the structure, function and regulation of G protein-coupled receptors with a long-term of designing novel therapeutics with minimized side-effects.
Reviews for Proteomics in Biology, Part A
"Praise for the Series: ""Should be on the shelves of all libraries in the world as a whole collection."" --Chemistry in Industry ""The work most often consulted in the lab."" --Enzymologia ""The Methods in Enzymology series represents the gold-standard."" --Neuroscience"
