title: Super-SILAC mix for quantitative proteomics of human tumor tissue.
abstract: We describe a method to accurately quantify human tumor proteomes by combining a mixture of five stable-isotope labeling by amino acids in cell culture (SILAC)-labeled cell lines with human carcinoma tissue. This generated hundreds of thousands of isotopically labeled peptides in appropriate amounts to serve as internal standards for mass spectrometry-based analysis. By decoupling the labeling from the measurement, this super-SILAC method broadens the scope of SILAC-based proteomics.
authors.affiliation: Department of Proteomics and Signal Transduction, Max Planck Institute for Biochemistry, Martinsried, Germany.
authors.forename: Tamar
authors.initials: T
authors.lastname: Geiger
authors.forename: Juergen
authors.initials: J
authors.lastname: Cox
authors.forename: Pawel
authors.initials: P
authors.lastname: Ostasiewicz
authors.forename: Jacek R
authors.initials: JR
authors.lastname: Wisniewski
authors.forename: Matthias
authors.initials: M
authors.lastname: Mann
mesh_terms: D001254:Astrocytoma / Q000737:chemistry; D001943:Breast Neoplasms / Q000737:chemistry*; D002247:Carbon Isotopes; D045744:Cell Line, Tumor; D005260:Female; D005909:Glioblastoma / Q000737:chemistry; D006801:Humans; D007553:Isotope Labeling / Q000379:methods*; D009363:Neoplasm Proteins / Q000032:analysis*; D009587:Nitrogen Isotopes; D040901:Proteomics / Q000379:methods*
chemical_list: D002247:Carbon Isotopes; D009363:Neoplasm Proteins; D009587:Nitrogen Isotopes