Literature DB >> 11860206

Large-scale plant proteomics.

Birgit Kersten1, Lukas Bürkle, Eckehard J Kuhn, Patrick Giavalisco, Zoltan Konthur, Angelika Lueking, Gerald Walter, Holger Eickhoff, Ulrich Schneider.   

Abstract

Large-scale and high throughput approaches increasingly play an essential role in the study of biological systems, which are per se highly complex. Therefore, they need to be examined by these extensive methods to receive information about the large genomic and proteomic networks. In plant biology, this purpose has a strong support through the accessability of the complete genome sequence of the model plant Arabidopsis thaliana. This brief review intends to focus on the basics and the state-of-the-art of these high-throughput technologies and their application to plant proteomics. It describes protein microarrays, the use of antibodies, 2-DE and MS methods and the yeast two hybrid system, which are emerging as the major technologies for plant proteomics.

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Year:  2002        PMID: 11860206

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


  77 in total

1.  UPA, a universal protein array system for quantitative detection of protein-protein, protein-DNA, protein-RNA and protein-ligand interactions.

Authors:  H Ge
Journal:  Nucleic Acids Res       Date:  2000-01-15       Impact factor: 16.971

Review 2.  Phytochrome-interacting factors.

Authors:  P H Quail
Journal:  Semin Cell Dev Biol       Date:  2000-12       Impact factor: 7.727

3.  GATEWAY recombinational cloning: application to the cloning of large numbers of open reading frames or ORFeomes.

Authors:  A J Walhout; G F Temple; M A Brasch; J L Hartley; M A Lorson; S van den Heuvel; M Vidal
Journal:  Methods Enzymol       Date:  2000       Impact factor: 1.600

4.  High-throughput yeast two-hybrid assays for large-scale protein interaction mapping.

Authors:  A J Walhout; M Vidal
Journal:  Methods       Date:  2001-07       Impact factor: 3.608

5.  An ordered Arabidopsis thaliana mitochondrial cDNA library on high-density filters allows rapid systematic analysis of plant gene expression: a pilot study.

Authors:  P Giegé; Z Konthur; G Walter; A Brennicke
Journal:  Plant J       Date:  1998-09       Impact factor: 6.417

6.  Signal sequence trap to clone cDNAs encoding secreted or membrane-associated plant proteins.

Authors:  P Kristoffersen; T Teichmann; R Stracke; K Palme
Journal:  Anal Biochem       Date:  1996-12-01       Impact factor: 3.365

7.  Two-dimensional protein patterns of Arabidopsis wild-type and auxin insensitive mutants, axr1, axr2, reveal interactions between drought and hormonal responses.

Authors:  J Leymarie; C Damerval; L Marcotte; V Combes; N Vartanian
Journal:  Plant Cell Physiol       Date:  1996-10       Impact factor: 4.927

8.  A comparison of two-dimensional electrophoresis data with phenotypical traits in Arabidopsis leads to the identification of a mutant (cri1) that accumulates cytokinins.

Authors:  V Santoni; M Delarue; M Caboche; C Bellini
Journal:  Planta       Date:  1997       Impact factor: 4.116

9.  Two-dimensional electrophoresis of plant proteins and standardization of gel patterns.

Authors:  A Tsugita; M Kamo; T Kawakami; Y Ohki
Journal:  Electrophoresis       Date:  1996-05       Impact factor: 3.535

10.  A novel genetic system to detect protein-protein interactions.

Authors:  S Fields; O Song
Journal:  Nature       Date:  1989-07-20       Impact factor: 49.962

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  11 in total

1.  Generation of Arabidopsis protein chips for antibody and serum screening.

Authors:  B Kersten; T Feilner; A Kramer; S Wehrmeyer; A Possling; I Witt; M I Zanor; R Stracke; A Lueking; J Kreutzberger; H Lehrach; D J Cahilll
Journal:  Plant Mol Biol       Date:  2003-07       Impact factor: 4.076

2.  Proteome analysis of gametophores identified a metallothionein involved in various abiotic stress responses in Physcomitrella patens.

Authors:  Sung Hyun Cho; Quoc Truong Hoang; Yoon Young Kim; Hyun Young Shin; Sung Han Ok; Jung Myung Bae; Jeong Sheop Shin
Journal:  Plant Cell Rep       Date:  2006-01-06       Impact factor: 4.570

Review 3.  Protein interaction networks in plants.

Authors:  Joachim F Uhrig
Journal:  Planta       Date:  2006-03-31       Impact factor: 4.116

4.  In vitro recombination cloning of entire cDNA libraries in Arabidopsis thaliana and its application to the yeast two-hybrid system.

Authors:  Lukas Bürkle; Svenja Meyer; Hakan Dortay; Hans Lehrach; Alexander Heyl
Journal:  Funct Integr Genomics       Date:  2005-02-16       Impact factor: 3.410

5.  Proteomic analysis of embryo development in rice (Oryza sativa).

Authors:  Hong Xu; Weiping Zhang; Yi Gao; Yong Zhao; Lin Guo; Jianbo Wang
Journal:  Planta       Date:  2011-10-20       Impact factor: 4.116

6.  Abscisic acid promoted changes in the protein profiles of rice seedling by proteome analysis.

Authors:  Randeep Rakwal; Setsuko Komatsu
Journal:  Mol Biol Rep       Date:  2004-12       Impact factor: 2.316

7.  Secretome analysis reveals an Arabidopsis lipase involved in defense against Alternaria brassicicola.

Authors:  Il Seok Oh; Ae Ran Park; Min Seok Bae; Sun Jae Kwon; Young Soon Kim; Ji Eun Lee; Na Young Kang; Sumin Lee; Hyeonsook Cheong; Ohkmae K Park
Journal:  Plant Cell       Date:  2005-08-26       Impact factor: 11.277

Review 8.  Structural and functional analysis of rice genome.

Authors:  Akhilesh K Tyagi; Jitendra P Khurana; Paramjit Khurana; Saurabh Raghuvanshi; Anumapa Gaur; Anita Kapur; Vikrant Gupta; Dibyendu Kumar; V Ravi; Shubha Vij; Parul Khurana; Sulabha Sharma
Journal:  J Genet       Date:  2004-04       Impact factor: 1.166

9.  Plant physiology and proteomics reveals the leaf response to drought in alfalfa (Medicago sativa L.).

Authors:  Iker Aranjuelo; Gemma Molero; Gorka Erice; Jean Christophe Avice; Salvador Nogués
Journal:  J Exp Bot       Date:  2010-08-25       Impact factor: 6.992

10.  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

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