Short description:

Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC): Methods and Protocols provides a synopsis of a large array of different SILAC methods by presenting a set of protocols that have been established by renowned scientists and their working groups.These include methods and protocols for the labeling of various model organisms as well as advanced strategies relying on SILAC, e.g. for the analysis of protein interactions, the mapping of posttranslational modifications or the characterization of subcellular proteomes. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-bystep, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.

Authoritative and practical, Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC): Methods and Protocols will serve students and experienced scientists alike as a valuable reference of how to make use of the SILAC technology for their own research.

Long description:

Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC): Methods and Protocols provides a synopsis of a large array of different SILAC methods by presenting a set of protocols that have been established by renowned scientists and their working groups. These include methods and protocols for the labeling of various model organisms as well as advanced strategies relying on SILAC, e.g. for the analysis of protein interactions, the mapping of posttranslational modifications or the characterization of subcellular proteomes. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.

Authoritative and practical, Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC): Methods and Protocols will serve students and experienced scientists alike as a valuable reference of how to make use of the SILAC technology for their own research.

Table of Contents:

Twelve Years of Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC).- Stable Isotope Labeling by Amino Acids Applied to Bacterial Cell Culture.- SILAC Labeling of Yeast for the Study of Membrane Protein Complexes.- Whole Proteome Analysis of the Protozoan Parasite Trypanosoma brucei using Stable Isotope Labeling by Amino Acids in Cell Culture and Mass Spectrometry.- Stable Isotope Labeling by Amino Acids in Cultured Primary Neurons.- SILAC and Alternatives in Studying Cellular Proteomes of Plants.- In Vivo Stable Isotope Labeling by Amino Acids in Drosophila melanogaster.- Stable Isotope Labeling for Proteomic Analysis of Tissues in Mouse.- Identification of Novel Protein Functions and Signaling Mechanisms by Genetics and Quantitative Phosphoproteomics in Caenorhabditis elegans.- SILAC-based Temporal Phosphoproteomics.- Global Ubiquitination Analysis by SILAC in Mammalian Cells.- Quantifying In Vivo, Site-specific Changes in Protein Methylation with SILAC.- Applying SILAC for the Differential Analysis of Protein Complexes.- Defining Dynamic Protein Interactions Using SILAC-based Quantitative Mass Spectrometry.- Identifying Nuclear Protein-Protein Interactions using GFP Affinity Purification and SILAC-based Quantitative Mass Spectrometry.- Analyzing the Protein Assembly and Dynamics of the Human Spliceosome with SILAC.- Identification and Validation of Protein-Protein Interactions by Combining Co-immunoprecipitation, Antigen Competition, and Stable Isotope Labeling.- Protein Correlation Profiling-SILAC to Study Protein-Protein Interactions.- Autophagosomal Proteome Analysis by Protein Correlation Profiling-SILAC.- Design and Application of Super-SILAC for Proteome Quantification.- Proteomics Meets Genetics: SILAC Labeling of Drosophila melanogaster Larvae and Cells for In Vivo Functional Studies.- Analysis of Secreted Proteins using SILAC.- Identification of MicroRNA Targets by Pulsed SILAC.- MaxQuant forIn-Depth Analysis of Large SILAC Datasets.