Literature DB >> 15652804

System, trends and perspectives of proteomics in dicot plants. Part III: Unraveling the proteomes influenced by the environment, and at the levels of function and genetic relationships.

Ganesh Kumar Agrawal1, Masami Yonekura, Yumiko Iwahashi, Hitoshi Iwahashi, Randeep Rakwal.   

Abstract

This review is devoted to the proteomics studies in dicotyledoneous (dicot) plants, such as Arabidopsis, Medicago, potato, soybean, and tomato, under the influence of the environment and at the functional and genetic relationship levels, where the two core technologies, two-dimensional gel electrophoresis (2-DGE) and mass spectrometry (MS) have been instrumental in unraveling the proteomes affected therein. Abiotic and biotic stress responses, including the affect of allergens, the symbiotic interaction between the members of the Leguminoseae family and genera of nitrogen fixing bacteria, phosphoproteomics, and proteomics in revealing the genetic relationships between species and genera have been the subject of many proteomics studies, and these are discussed in this review. In all, these studies have complemented and extended the studies of developmental proteomics [G.K. Agrawal, M. Yonekura, Y. Iwahashi, H. Iwahashi, R. Rakwal, J. Chromatogr. B (2004)].

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15652804     DOI: 10.1016/j.jchromb.2004.11.022

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  12 in total

1.  Proteomic analysis of early germs with high-oil and normal inbred lines in maize.

Authors:  Zhanji Liu; Xiaohong Yang; Yang Fu; Yirong Zhang; Jianbin Yan; Tongming Song; T Rocheford; Jiansheng Li
Journal:  Mol Biol Rep       Date:  2008-06-04       Impact factor: 2.316

2.  Proteomic analysis of the defense response of wheat to the powdery mildew fungus, Blumeria graminis f. sp. tritici.

Authors:  Md Siddikun Nabi Mandal; Ying Fu; Sheng Zhang; Wanquan Ji
Journal:  Protein J       Date:  2014-12       Impact factor: 2.371

3.  Proteomic characterization and bio-informatic analysis of differentially expressed E. coli Nissle 1917 proteins with response to cocoti wine stress.

Authors:  Chandrasekhar Kathera; Esther Lebonah Dulla; Venkata Prasad Chinahadri; Thanu Sree Mallakuntla Ramesh; Sreedevi Basavaraju; Pramodakumari Jasti
Journal:  3 Biotech       Date:  2017-06-08       Impact factor: 2.406

4.  Comparative proteomics and physiological characterization of Arabidopsis thaliana seedlings in responses to Ochratoxin A.

Authors:  Yan Wang; Junran Hao; Weiwei Zhao; Zhuojun Yang; Weihong Wu; Yu Zhang; Wentao Xu; YunBo Luo; Kunlun Huang
Journal:  Plant Mol Biol       Date:  2013-04-27       Impact factor: 4.076

5.  Proteome-wide characterization of seed aging in Arabidopsis: a comparison between artificial and natural aging protocols.

Authors:  Loïc Rajjou; Yoann Lovigny; Steven P C Groot; Maya Belghazi; Claudette Job; Dominique Job
Journal:  Plant Physiol       Date:  2008-07-03       Impact factor: 8.340

6.  Gel-based proteomics approach for detecting low nitrogen-responsive proteins in cultivated rice species.

Authors:  Du Hyun Kim; Junko Shibato; Dea-Wook Kim; Myung Kyu Oh; Myung Ki Kim; Ie Sung Shim; Hitoshi Iwahashi; Yoshinori Masuo; Randeep Rakwal
Journal:  Physiol Mol Biol Plants       Date:  2009-05-14

7.  Proteomics of methyl jasmonate induced defense response in maize leaves against Asian corn borer.

Authors:  Yi Tong Zhang; Yu Liang Zhang; Si Xue Chen; Guo Hua Yin; Ze Zhong Yang; Samantha Lee; Chun Guang Liu; Dan Dan Zhao; Yu Kun Ma; Fu Qiang Song; Joan W Bennett; Feng Shan Yang
Journal:  BMC Genomics       Date:  2015-03-21       Impact factor: 3.969

8.  Screening and identification of resistance related proteins from apple leaves inoculated with Marssonina coronaria (EII. & J. J. Davis).

Authors:  Miaomiao Li; Jianhua Xu; Zonghao Qiu; Juan Zhang; Fengwang Ma; Junke Zhang
Journal:  Proteome Sci       Date:  2014-02-07       Impact factor: 2.480

9.  Sub-cellular proteomics of Medicago truncatula.

Authors:  Jeonghoon Lee; Zhentian Lei; Bonnie S Watson; Lloyd W Sumner
Journal:  Front Plant Sci       Date:  2013-04-30       Impact factor: 5.753

10.  Recent Advances in Medicago truncatula Genomics.

Authors:  Jean-Michel Ané; Hongyan Zhu; Julia Frugoli
Journal:  Int J Plant Genomics       Date:  2008
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.