Organellar proteomics: turning inventories into insights

被引:143
作者
Andersen, Jens S.
Mann, Matthias
机构
[1] Odense Univ, Ctr Expt Bioinformat, DK-5230 Odense, Denmark
[2] Max Planck Inst Biochem, Dept Proteom & Signal Transduct, D-82152 Martinsried, Germany
关键词
functional genomics; mass spectrometry; protein dynamics; protein identification; protein localization;
D O I
10.1038/sj.embor.7400780
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Subcellular organization is yielding to large- scale analysis. Researchers are now applying robust mass- spectrometry- based proteomics methods to obtain an inventory of biochemically isolated organelles that contain hundreds of proteins. High- resolution methods allow accurate protein identification, and novel algorithms can distinguish genuine from co- purifying components. Organellar proteomes have been analysed by bioinformatic methods and integrated with other large- scale data sets. The dynamics of organelles can also be studied by quantitative proteomics, which offers powerful methods that are complementary to fluorescence-based microscopy. Here, we review the emerging trends in this rapidly expanding area and discuss the role of organellar proteomics in the context of functional genomics and systems biology.
引用
收藏
页码:874 / 879
页数:6
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