A Methodology for Comprehensive Analysis of Toll-Like Receptor Signaling in Macrophages

作者: Marijke Koppenol-Raab , Aleksandra Nita-Lazar

DOI: 10.1007/978-1-4939-7154-1_19

关键词:

摘要: A combination of high-throughput, multiplexed, quantitative methods with computational modeling and statistical approaches is required to obtain system-level understanding biological function. Mass spectrometry (MS)-based proteomics has emerged as a preferred tool for the analysis changes in protein abundance their post-translational modification (PTM) levels at global scale, comparable genomic experiments generating data suitable use mathematical signaling pathways. Here we describe set parallel bottom-up proteomic detect quantify total intracellular proteins, phosphorylation, proteins released by active passive secretion or shedding mechanisms (referred secretome reviewed Makridakis Vlahou, J Proteome 73:2291-2305, 2010) response stimulation Toll-like receptors (TLRs) specific ligands cultured macrophages. The method includes protocols metabolic labeling cells (SILAC: stable isotope amino acids cell culture; Ong et al., Mol Cell Proteomics 1:376-386, 2002), ligand stimulation, lysis media collection, in-gel in-solution digestion phosphopeptide enrichment phosphoproteomics, LC-MS/MS analysis. With these methods, can not only reliably relative TLR components (Sjoelund Res 13:5185-5197, 2014) but also constraints modeling.

参考文章(13)
Nathan P. Manes, Jessica M. Mann, Aleksandra Nita-Lazar, Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification. Journal of Visualized Experiments. ,(2015) , 10.3791/52959
Nathan P. Manes, Bastian R. Angermann, Marijke Koppenol-Raab, Eunkyung An, Virginie H. Sjoelund, Jing Sun, Masaru Ishii, Ronald N. Germain, Martin Meier-Schellersheim, Aleksandra Nita-Lazar, Targeted Proteomics-Driven Computational Modeling of Macrophage S1P Chemosensing Molecular & Cellular Proteomics. ,vol. 14, pp. 2661- 2681 ,(2015) , 10.1074/MCP.M115.048918
Dirk Werling, Oliver C. Jann, Victoria Offord, Elizabeth J. Glass, Tracey J. Coffey, Variation matters: TLR structure and species-specific pathogen recognition. Trends in Immunology. ,vol. 30, pp. 124- 130 ,(2009) , 10.1016/J.IT.2008.12.001
Luke A. J. O'Neill, Douglas Golenbock, Andrew G. Bowie, The history of Toll-like receptors — redefining innate immunity Nature Reviews Immunology. ,vol. 13, pp. 453- 460 ,(2013) , 10.1038/NRI3446
Jonathan C. Kagan, Signaling Organelles of the Innate Immune System Cell. ,vol. 151, pp. 1168- 1178 ,(2012) , 10.1016/J.CELL.2012.11.011
Olivier Huet, Jaye P. F. Chin-Dusting, Septic shock: desperately seeking treatment. Clinical Science. ,vol. 126, pp. 31- 39 ,(2014) , 10.1042/CS20120668
Kiyoshi Takeda, Shizuo Akira, TLR SIGNALING PATHWAYS Seminars in Immunology. ,vol. 16, pp. 3- 9 ,(2004) , 10.1016/J.SMIM.2003.10.003
Virginie Sjoelund, Margery Smelkinson, Aleksandra Nita-Lazar, Phosphoproteome profiling of the macrophage response to different toll-like receptor ligands identifies differences in global phosphorylation dynamics. Journal of Proteome Research. ,vol. 13, pp. 5185- 5197 ,(2014) , 10.1021/PR5002466
Manousos Makridakis, Antonia Vlahou, Secretome proteomics for discovery of cancer biomarkers. Journal of Proteomics. ,vol. 73, pp. 2291- 2305 ,(2010) , 10.1016/J.JPROT.2010.07.001
Jesper V Olsen, Matthias Mann, None, Status of Large-scale Analysis of Post-translational Modifications by Mass Spectrometry Molecular & Cellular Proteomics. ,vol. 12, pp. 3444- 3452 ,(2013) , 10.1074/MCP.O113.034181