title: In vivo quantitative proteomics for the study of oncometabolism.
abstract: The active reprograming of cellular metabolism is a primary driver of oncogenesis and a hallmark of established neoplastic lesions. Much of this reprogramming depends on the expression levels and posttranslational modifications (PTMs) of metabolic enzymes. Stable isotope labeling of amino acids in culture (SILAC) is an amino acid-based labeling technique that can be used both in vitro and in vivo to comparatively assess the levels and PTMs of proteins. To this aim, SILAC-labeled cell lysates can be spiked into each sample as a standard, followed by the analysis of specimens by mass spectrometry (MS). Combined with appropriate protocols for the lysis and preparation of samples for MS, this technique allows for the accurate and in-depth quantification of the proteome of a wide variety of cell and tissue samples. In particular, SILAC can be employed to infer the metabolic state of neoplastic lesions and obtain a profound understanding of the proteomic alterations that accompany oncogenesis and tumor progression. Here, we describe a proteomic approach based on SILAC, high-resolution chromatography and high-accuracy MS for comparing levels and phosphorylation status of proteins between the samples of interest. This method can be applied not only to the proteomic study of oncometabolism in murine tissues, but also to the study of cellular samples and human specimens.
authors.affiliation: Vascular Proteomics Group, Cancer Research UK Beatson Institute, Glasgow, United Kingdom.
authors.forename: Steven
authors.initials: S
authors.lastname: Reid
authors.affiliation: Vascular Proteomics Group, Cancer Research UK Beatson Institute, Glasgow, United Kingdom.
authors.forename: Juan Ramon
authors.initials: JR
authors.lastname: Hernandez-Fernaud
authors.affiliation: Vascular Proteomics Group, Cancer Research UK Beatson Institute, Glasgow, United Kingdom. Electronic address: s.zanivan@beatson.gla.ac.uk.
authors.forename: Sara
authors.initials: S
authors.lastname: Zanivan
mesh_terms: D002853:Chromatography, Liquid; D006801:Humans; D009363:Neoplasm Proteins / Q000378:metabolism*; D009369:Neoplasms / Q000378:metabolism* / Q000473:pathology; D040901:Proteomics; D021241:Spectrometry, Mass, Electrospray Ionization
chemical_list: D009363:Neoplasm Proteins
keywords: Label-free; Mass spectrometry; Metabolism; Proteomics; SILAC; Tumor tissue