United States
£ GBP
The field of proteomics has had a tremendous impact on our understanding of biological systems. While proteomics encompasses multiple approaches, the application of mass spectrometry-based techniques has generated large, information-rich data sets that have enabled a much clearer understanding of areas such as cell signaling. For example, protein post-translational modifications such as phosphorylation are critically involved in signal transduction in almost all biological systems; much progress has been made to identify these protein alterations during signal transduction. Applications of Proteomics to Cell Signaling focuses specifically on the application of these approaches to understanding signaling in biological systems.
PROTEOMIC METHODS
Protein Identification Methodology, Shixin Sun
Database Searching and Software Tools, Sanjeev Bhardwaj
Separations: nano HPLC, Katianna Pihakari
Stable Isotope Assisted Quantitation, Akhilesh Panday
AQUA Peptides and Quantitative Post-Translational Modification Measurement, Steven Gygi
SIGNALING APPLICATIONS
Signaling in Bacterial Communication and Metabolism: Quorum Sensing and Antibiotic Detoxifixation Pathways, David Fox and Andy Koppisch
Fungal Signaling in Cellulose Degradation, Taraka Dale and Paul Langan
Phosphorylation in Cancer Signaling: Emphasis on Computational Approaches to Process Proteomic Data Sets, Bill Hlavacek
Glycosylation in Cell Surface Receptor Recognition Events, Sheng Gu
Pathways Involvedi Toxicological Responses to Particulate Matter, Jun Gao, Rashi Iyer, and Andrij Holiau
Iyer Srinivas is a Staff Scientist at Los Alamos National Laboratory in New Mexico.
