Literature DB >> 17484109

Stable isotope labeling by amino acids in cell culture for quantitative proteomics.

Shao-En Ong1, Matthias Mann.   

Abstract

Mass spectrometry (MS)-based quantitative proteomics is an increasingly popular approach to study changes in protein abundances in biological samples. Stable isotope labeling by amino acids in cell culture (SILAC), one of the more widely used methods for quantitative proteomics, is a metabolic-labeling strategy that encodes whole cellular proteomes. Cells are grown in a culture medium where the natural form of an amino acid is replaced with a stable isotope form, such as arginine bearing six 13C atoms. Incorporation of the "heavy" amino acid occurs through cell growth, protein synthesis, and turnover. SILAC allows "light" and "heavy" proteomes to be distinguished by MS while avoiding any chemical derivatization and associated purification. In this chapter, we provide detailed SILAC protocols and explain how to incorporate SILAC into any experiment.

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Year:  2007        PMID: 17484109     DOI: 10.1007/978-1-59745-255-7_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  69 in total

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Review 5.  Recent Trends in System-Scale Integrative Approaches for Discovering Protective Antigens Against Mycobacterial Pathogens.

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8.  A proteomics-based investigation on the anticancer activity of alisertib, an Aurora kinase A inhibitor, in hepatocellular carcinoma Hep3B cells.

Authors:  Qiaohua Zhu; Meihua Luo; Chengyu Zhou; Zhiwei Zhou; Zhixu He; Xinfa Yu; Shufeng Zhou
Journal:  Am J Transl Res       Date:  2017-08-15       Impact factor: 4.060

9.  Monitoring protein conformational changes and dynamics using stable-isotope labeling and mass spectrometry.

Authors:  Alem W Kahsai; Sudarshan Rajagopal; Jinpeng Sun; Kunhong Xiao
Journal:  Nat Protoc       Date:  2014-05-08       Impact factor: 13.491

10.  Quantitative proteomics reveal ATM kinase-dependent exchange in DNA damage response complexes.

Authors:  Serah Choi; Rohith Srivas; Katherine Y Fu; Brian L Hood; Banu Dost; Gregory A Gibson; Simon C Watkins; Bennett Van Houten; Nuno Bandeira; Thomas P Conrads; Trey Ideker; Christopher J Bakkenist
Journal:  J Proteome Res       Date:  2012-09-18       Impact factor: 4.466

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