Literature DB >> 16217611

Rice proteome database: a step toward functional analysis of the rice genome.

Setsuko Komatsu1.   

Abstract

The technique of proteome analysis using two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) has the power to monitor global changes that occur in the protein complement of tissues and subcellular compartments. In this study, the proteins of rice were cataloged, a rice proteome database was constructed, and a functional characterization of some of the identified proteins was undertaken. Proteins extracted from various tissues and subcellular compartments in rice were separated by 2D-PAGE and an image analyzer was used to construct a display of the proteins. The Rice Proteome Database contains 23 reference maps based on 2D-PAGE of proteins from various rice tissues and subcellular compartments. These reference maps comprise 13129 identified proteins, and the amino acid sequences of 5092 proteins are entered in the database. Major proteins involved in growth or stress responses were identified using the proteome approach. Some of these proteins, including a beta-tubulin, calreticulin, and ribulose-1,5-bisphosphate carboxylase/oxygenase activase in rice, have unexpected functions. The information obtained from the Rice Proteome Database will aid in cloning the genes for and predicting the function of unknown proteins.

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Year:  2005        PMID: 16217611     DOI: 10.1007/s11103-005-2160-z

Source DB:  PubMed          Journal:  Plant Mol Biol        ISSN: 0167-4412            Impact factor:   4.076


  39 in total

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Authors:  K M Devos; M D Gale
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4.  A novel interaction between calreticulin and ubiquitin-like nuclear protein in rice.

Authors:  Arun Sharma; Minako Isogai; Taichi Yamamoto; Kengo Sakaguchi; Junji Hashimoto; Setsuko Komatsu
Journal:  Plant Cell Physiol       Date:  2004-06       Impact factor: 4.927

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Journal:  J Biol Chem       Date:  1977-02-10       Impact factor: 5.157

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Authors:  S Komatsu; T Masuda; K Abe
Journal:  Plant Cell Physiol       Date:  1996-09       Impact factor: 4.927

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Journal:  Science       Date:  2002-04-05       Impact factor: 47.728

8.  Characterization of proteins responsive to gibberellin in the leaf-sheath of rice (Oryza sativa L.) seedling using proteome analysis.

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Journal:  Nature       Date:  2002-11-21       Impact factor: 49.962

10.  Towards an analysis of the rice mitochondrial proteome.

Authors:  Joshua L Heazlewood; Katharine A Howell; James Whelan; A Harvey Millar
Journal:  Plant Physiol       Date:  2003-05       Impact factor: 8.340

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  11 in total

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Journal:  Protein J       Date:  2014-06       Impact factor: 2.371

2.  A genome-wide gain-of function analysis of rice genes using the FOX-hunting system.

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Journal:  Plant Mol Biol       Date:  2007-10-10       Impact factor: 4.076

Review 3.  Genomics and bioinformatics resources for crop improvement.

Authors:  Keiichi Mochida; Kazuo Shinozaki
Journal:  Plant Cell Physiol       Date:  2010-03-05       Impact factor: 4.927

4.  Experimental analysis of the rice mitochondrial proteome, its biogenesis, and heterogeneity.

Authors:  Shaobai Huang; Nicolas L Taylor; Reena Narsai; Holger Eubel; James Whelan; A Harvey Millar
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5.  Unraveling the Light-Specific Metabolic and Regulatory Signatures of Rice through Combined in Silico Modeling and Multiomics Analysis.

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6.  Analysis of Ribosome-Associated mRNAs in Rice Reveals the Importance of Transcript Size and GC Content in Translation.

Authors:  Dongyan Zhao; John P Hamilton; Michael Hardigan; Dongmei Yin; Tao He; Brieanne Vaillancourt; Mauricio Reynoso; Germain Pauluzzi; Scott Funkhouser; Yuehua Cui; Julia Bailey-Serres; Jiming Jiang; C Robin Buell; Ning Jiang
Journal:  G3 (Bethesda)       Date:  2017-01-05       Impact factor: 3.154

7.  The rice mitochondria proteome and its response during development and to the environment.

Authors:  Shaobai Huang; Rachel N Shingaki-Wells; Nicolas L Taylor; A Harvey Millar
Journal:  Front Plant Sci       Date:  2013-02-07       Impact factor: 5.753

8.  Proteomics of rice seed germination.

Authors:  Dongli He; Pingfang Yang
Journal:  Front Plant Sci       Date:  2013-07-09       Impact factor: 5.753

9.  Ascribing Functions to Genes: Journey Towards Genetic Improvement of Rice Via Functional Genomics.

Authors:  Ananda Mustafiz; Sumita Kumari; Ratna Karan
Journal:  Curr Genomics       Date:  2016-06       Impact factor: 2.236

10.  OryzaGenome: Genome Diversity Database of Wild Oryza Species.

Authors:  Hajime Ohyanagi; Toshinobu Ebata; Xuehui Huang; Hao Gong; Masahiro Fujita; Takako Mochizuki; Atsushi Toyoda; Asao Fujiyama; Eli Kaminuma; Yasukazu Nakamura; Qi Feng; Zi-Xuan Wang; Bin Han; Nori Kurata
Journal:  Plant Cell Physiol       Date:  2015-11-16       Impact factor: 4.927

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