title: Systematic annotation and bioinformatics analyses of large-scale Oryza sativa proteome.
abstract: Much has been now recognized on the rice (Oryza sativa L.) proteomics by using the powerful experimental tool two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). 2D-PAGE can be utilized for monitoring global changes of quantitative protein expression in specific tissues under various conditions. However, systematic annotations of the protein spots generated by 2D-PAGE are still limited for rice. In this study, a new approach for Oryza sativa proteome annotation based on the 2D-gel maps was developed. Based on the publicly available 2D-PAGE data of rice, 11,201 gel spots were annotated accounting for 87.2% of the total spots on the gel maps. Gel spot alignments were performed for the annotated gel maps belonging to 23 rice tissues or organelles. In summary, 253 alignments between 23 tissues or organelles were performed, and 26,207 co-expressed proteins were identified using our analytical strategy. Large-scale bi-cluster analysis of 23 tissues/organelles proteomes of rice was carried out to detect novel functional proteins. Function and pathway analysis identified a number of common gene products with great potential in regulating specific physiological and biochemical events within various rice tissues/organelles. It also suggested that the tissue- or organelle-specific proteins might be responsible for the functional divergence of these tissues or organelles. Taken together, this study provides us new strategies and informative resources for rice proteome research based on 2D-PAGE data.
authors.affiliation: Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
authors.forename: Lili
authors.initials: L
authors.lastname: Liu
authors.forename: Lin
authors.initials: L
authors.lastname: Bai
authors.forename: Cong
authors.initials: C
authors.lastname: Luo
authors.forename: Donglin
authors.initials: D
authors.lastname: Huang
authors.forename: Ming
authors.initials: M
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods*; D015180:Electrophoresis, Gel, Two-Dimensional; D053858:Metabolic Networks and Pathways; D058977:Molecular Sequence Annotation / Q000379:methods*; D012275:Oryza / Q000235:genetics / Q000378:metabolism*; D018515:Plant Leaves / Q000235:genetics / Q000378:metabolism; D020543:Proteome / Q000235:genetics / Q000378:metabolism*; D040901:Proteomics / Q000379:methods
chemical_list: D020543:Proteome