title: Toward a definition of the complete proteome of plant peroxisomes: Where experimental proteomics must be complemented by bioinformatics.
abstract: In the past few years, proteome analysis of Arabidopsis peroxisomes has been established by the complementary efforts of four research groups and has emerged as the major unbiased approach to identify new peroxisomal proteins on a large scale. Collectively, more than 100 new candidate proteins from plant peroxisomes have been identified, including long-awaited low-abundance proteins. More than 50 proteins have been validated as peroxisome targeted, nearly doubling the number of established plant peroxisomal proteins. Sequence homologies of the new proteins predict unexpected enzyme activities, novel metabolic pathways and unknown non-metabolic peroxisome functions. Despite this remarkable success, proteome analyses of plant peroxisomes remain highly material intensive and require major preparative efforts. Characterization of the membrane proteome or post-translational protein modifications poses major technical challenges. New strategies, including quantitative mass spectrometry methods, need to be applied to allow further identifications of plant peroxisomal proteins, such as of stress-inducible proteins. In the long process of defining the complete proteome of plant peroxisomes, the prediction of peroxisome-targeted proteins from plant genome sequences emerges as an essential complementary approach to identify additional peroxisomal proteins that are, for instance, specific to peroxisome variants from minor tissues and organs or to abiotically stressed model and crop plants.
authors.affiliation: Centre for Organelle Research, University of Stavanger, Stavanger, Norway. sigrun.reumann@uis.no
authors.forename: Sigrun
authors.initials: S
authors.lastname: Reumann
mesh_terms: D017360:Arabidopsis / Q000378:metabolism; D019295:Computational Biology / Q000379:methods / Q000639:trends; D008954:Models, Biological; D020675:Peroxisomes / Q000378:metabolism*; D010940:Plant Proteins / Q000032:analysis* / Q000378:metabolism; D010944:Plants / Q000378:metabolism*; D020543:Proteome / Q000032:analysis* / Q000378:metabolism; D040901:Proteomics / Q000379:methods / Q000639:trends
chemical_list: D010940:Plant Proteins; D020543:Proteome