title: Broader implications of SILAC-based proteomics for dissecting signaling dynamics in cancer.
abstract: Large-scale transcriptome and epigenome analyses have been widely utilized to discover gene alterations implicated in cancer development at the genetic level. However, mapping of signaling dynamics at the protein level is likely to be more insightful and needed to complement massive genomic data. Stable isotope labeling with amino acids in cell culture (SILAC)-based proteomic analysis represents one of the most promising comparative quantitative methods that has been extensively employed in proteomic research. This technology allows for global, robust and confident identification and quantification of signal perturbations important for the progress of human diseases, particularly malignancies. The present review summarizes the latest applications of in vitro and in vivo SILAC-based proteomics in identifying global proteome/phosphoproteome and genome-wide protein-protein interactions that contribute to oncogenesis, highlighting the recent advances in dissecting signaling dynamics in cancer.
authors.affiliation: Department of Surgery and Cancer, Division of Cancer, Imperial College London, Hammersmith Hospital Campus, ICTEM Building, Du Cane Road, London, W12 ONN, UK.
authors.forename: Hua
authors.initials: H
authors.lastname: Zhang
authors.forename: Yichen
authors.initials: Y
authors.lastname: Xu
authors.forename: Panos
authors.initials: P
authors.lastname: Papanastasopoulos
authors.forename: Justin
authors.initials: J
authors.lastname: Stebbing
authors.forename: Georgios
authors.initials: G
authors.lastname: Giamas
mesh_terms: D000596:Amino Acids / Q000737:chemistry; D000818:Animals; D063646:Carcinogenesis / Q000378:metabolism; D018929:Cell Culture Techniques; D018450:Disease Progression; D006801:Humans; D007553:Isotope Labeling; D009369:Neoplasms / Q000378:metabolism*; D010766:Phosphorylation; D060066:Protein Interaction Maps; D020543:Proteome / Q000737:chemistry / Q000378:metabolism*; D040901:Proteomics; D015398:Signal Transduction
chemical_list: D000596:Amino Acids; D020543:Proteome
keywords: SILAC; cancer; phosphoproteome; proteome; proteomics; signaling