title: Plastid proteomics.
abstract: Plastids are essential organelles present in virtually all cells in plants and in green algae. The proteomes of plastids, and in particular of chloroplasts, have received significant amounts of attention in recent years. Various fractionation and mass spectrometry (MS) techniques have been applied to catalogue the chloroplast proteome and its membrane compartments. Neural network and hidden Markov models, in combination with experimentally derived filters, were used to try to predict the chloroplast subproteomes. Some of the many protein-protein interaction, as well as post-translational modifications have been characterized. Nevertheless, our understanding of the chloroplast proteome and its dynamics is very incomplete. Rapid improvements and wide-scale implementation of MS and new tools for comparative proteomics will undoubtedly accelerate this understanding in the near future. Proteomics studies often generate a large amount of data and these data are only meaningful if they can be easily accessed via the 'world-wide-web' and connected to other types of biological information. The plastid proteome data base (PPDB at http://www.ppdb.tc.cornell.edu/) and other web resources are discussed. This review will briefly summarize recent experimental and theoretical efforts, attempt to translate these data into the functions of the chloroplast and outline expectations and possibilities for (comparative) chloroplast proteomics.
authors.affiliation: Department of Plant Biology, Emerson Hall 332, Cornell University, Ithaca, NY 14853, USA. kv35@cornell.edu
authors.forename: Klaas J
authors.initials: KJ
authors.lastname: van Wijk
mesh_terms: D002736:Chloroplasts / Q000737:chemistry*; D010940:Plant Proteins / Q000032:analysis*; D010944:Plants / Q000737:chemistry*; D020543:Proteome / Q000032:analysis*; D040901:Proteomics
chemical_list: D010940:Plant Proteins; D020543:Proteome