Systematic Annotation and Bioinformatics Analyses of Large-Scale Oryza sativa Proteome

被引:1
|
作者
Liu, Lili [1 ]
Bai, Lin [1 ]
Luo, Cong [1 ]
Huang, Donglin [1 ]
Chen, Ming [1 ]
机构
[1] Zhejiang Univ, Coll Life Sci, Dept Bioinformat, Hangzhou 310058, Zhejiang, Peoples R China
关键词
Rice; proteome; 2D-page; OsPAD; annotation; alignment; pathway; 2-DIMENSIONAL GEL-ELECTROPHORESIS; RICE PROTEOMICS; GENE; IDENTIFICATION; SEQUENCE; RESOURCE; GENOMICS; DATABASE;
D O I
10.2174/1389203711109070621
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:621 / 630
页数:10
相关论文
共 50 条
  • [1] Large-scale analyses of schizophrenia proteome
    Oliveira, Bruno M.
    Martins-de-Souza, Daniel
    REVISTA DE PSIQUIATRIA CLINICA, 2013, 40 (01): : 16 - 19
  • [2] Large-scale transcriptome and proteome analyses of schizophrenic brains
    Ojopi, E
    De Souza, D
    Schmitt, A
    Gattaz, W
    Neto, ED
    SCHIZOPHRENIA RESEARCH, 2006, 81 : 193 - 193
  • [3] Challenges in large-scale bioinformatics projects
    Morrison-Smith, Sarah
    Boucher, Christina
    Sarcevic, Aleksandra
    Noyes, Noelle
    O'Brien, Catherine
    Cuadros, Nazaret
    Ruiz, Jaime
    HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS, 2022, 9 (01):
  • [4] Challenges in large-scale bioinformatics projects
    Sarah Morrison-Smith
    Christina Boucher
    Aleksandra Sarcevic
    Noelle Noyes
    Catherine O’Brien
    Nazaret Cuadros
    Jaime Ruiz
    Humanities and Social Sciences Communications, 9
  • [5] Large-scale IPM validation in Basmati rice (Oryza sativa) in Western Uttar Pradesh, India
    Tanwar, R. K.
    Singh, S. P.
    Sharma, O. P.
    Kanwar, V.
    Mukherjee, Irani
    Chattopadhyay, C.
    INDIAN JOURNAL OF AGRICULTURAL SCIENCES, 2016, 86 (08): : 1063 - 1069
  • [6] Large-scale imputation of epigenomic datasets for systematic annotation of diverse human tissues
    Ernst, Jason
    Kellis, Manolis
    NATURE BIOTECHNOLOGY, 2015, 33 (04) : 364 - U74
  • [7] Large-scale imputation of epigenomic datasets for systematic annotation of diverse human tissues
    Jason Ernst
    Manolis Kellis
    Nature Biotechnology, 2015, 33 : 364 - 376
  • [8] Detailing the biomedical aspects of geroscience by molecular data and large-scale "deep" bioinformatics analyses
    Simm, Andreas
    Grosskopf, Anne
    Fuellen, Georg
    ZEITSCHRIFT FUR GERONTOLOGIE UND GERIATRIE, 2024, 57 (05): : 355 - 360
  • [9] Aggregation prone regions in human proteome: Insights from large-scale data analyses
    Prabakaran, R.
    Goel, Dhruv
    Kumar, Sandeep
    Gromiha, M. Michael
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2017, 85 (06) : 1099 - 1118
  • [10] Eukaryotic and Eubacterial Contributions to the Establishment of Plastid Proteome Estimated by Large-Scale Phylogenetic Analyses
    Suzuki, Kenji
    Miyagishima, Shin-ya
    MOLECULAR BIOLOGY AND EVOLUTION, 2010, 27 (03) : 581 - 590