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.
A plastid protein database-integrates data from large scale proteome analyses of different plastid types. These include etioplasts, chloroplasts, chromoplasts and the undifferentiated proplastid-like organelles of tobacco BY2 cells. This comparison allows establishing a core proteome that is common to all plastid types and provides furthermore information about plastid type-specific functions.
A database dedicated to sub-plastidial localization of A. thaliana chloroplast proteins. In addition to current knowledge regarding sub-plastidial localization, AT_CHLORO provides experimental data that allowed curated information regarding subcellular localizations of chloroplast proteins to be given.