title: Organellar proteomics: turning inventories into insights.
abstract: 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.
authors.affiliation: Centre for Experimental Bioinformatics, CEBI, University of Southern Denmark, Campusvej 55, DK-5230 Odense, Denmark. jens.andersen@bmb.sdu.dk
authors.forename: Jens S
authors.initials: JS
authors.lastname: Andersen
authors.forename: Matthias
authors.initials: M
authors.lastname: Mann
mesh_terms: D000818:Animals; D023281:Genomics; D006801:Humans; D013058:Mass Spectrometry; D008954:Models, Biological; D015388:Organelles / Q000378:metabolism*; D025941:Protein Interaction Mapping; D020543:Proteome / Q000032:analysis*; D040901:Proteomics / Q000379:methods*; D020539:Sequence Analysis, Protein; D013347:Subcellular Fractions
chemical_list: D020543:Proteome