Literature DB >> 11228436

Genome-wide expression analysis of plant cell cycle modulated genes.

P Breyne1, M Zabeau.   

Abstract

Genome-wide expression analysis is rapidly becoming an essential tool for identifying and analysing genes involved in, or controlling, various biological processes ranging from development to responses to environmental cues. The control of cell division involves the temporal expression of different sets of genes, allowing the dividing cell to progress through the different phases of the cell cycle. A landmark study using DNA microarrays to follow the patterns of gene expression in synchronously dividing yeast cells has allowed the identification of several hundreds of genes that are involved in the cell cycle. Although DNA microarrays provide a convenient tool for genome-wide expression analysis, their use is limited to organisms for which the complete genome sequence or a large cDNA collection is available. For other organisms, including most plant species, DNA fragment analysis based methods, such as cDNA-AFLP, provide a more appropriate tool for genome-wide expression analysis. Furthermore, cDNA-AFLP exhibits properties that complement DNA microarrays and, hence, constitutes a useful tool for gene discovery.

Entities:  

Mesh:

Year:  2001        PMID: 11228436     DOI: 10.1016/s1369-5266(00)00149-7

Source DB:  PubMed          Journal:  Curr Opin Plant Biol        ISSN: 1369-5266            Impact factor:   7.834


  39 in total

1.  A critical evaluation of differential display as a tool to identify genes involved in legume nodulation: looking back and looking forward.

Authors:  S Lievens; S Goormachtig; M Holsters
Journal:  Nucleic Acids Res       Date:  2001-09-01       Impact factor: 16.971

2.  Laser-capture microdissection, a tool for the global analysis of gene expression in specific plant cell types: identification of genes expressed differentially in epidermal cells or vascular tissues of maize.

Authors:  Mikio Nakazono; Fang Qiu; Lisa A Borsuk; Patrick S Schnable
Journal:  Plant Cell       Date:  2003-03       Impact factor: 11.277

3.  Quantitative cDNA-AFLP analysis for genome-wide expression studies.

Authors:  P Breyne; R Dreesen; B Cannoot; D Rombaut; K Vandepoele; S Rombauts; R Vanderhaeghen; D Inzé; M Zabeau
Journal:  Mol Genet Genomics       Date:  2003-03-18       Impact factor: 3.291

4.  Isolation and identification of a gene in response to rice blast disease in rice.

Authors:  Xianwu Zheng; Xuewei Chen; Xiaohong Zhang; Zhongzhuan Lin; Junjun Shang; Jichen Xu; Wenxue Zhai; Lihuang Zhu
Journal:  Plant Mol Biol       Date:  2004-01       Impact factor: 4.076

5.  Metabolic sugar signal promotes Arabidopsis meristematic proliferation via G2.

Authors:  Anna Skylar; Frances Sung; Fangxin Hong; Joanne Chory; Xuelin Wu
Journal:  Dev Biol       Date:  2010-12-23       Impact factor: 3.582

Review 6.  High-throughput RNA isolation technologies. New tools for high-resolution gene expression profiling in plant systems.

Authors:  Ji-Young Lee; Mitchell Levesque; Philip N Benfey
Journal:  Plant Physiol       Date:  2005-06       Impact factor: 8.340

7.  Functional identification of cytokinesis-related genes from tobacco BY-2 cells.

Authors:  Yi Yu; Hai-Yun Wang; Li-Na Liu; Zhi-Ling Chen; Gui-Xian Xia
Journal:  Plant Cell Rep       Date:  2007-01-24       Impact factor: 4.570

8.  Atypical regulation of a green lineage-specific B-type cyclin-dependent kinase.

Authors:  Florence Corellou; Alain Camasses; Laetitia Ligat; Gérard Peaucellier; François-Yves Bouget
Journal:  Plant Physiol       Date:  2005-06-17       Impact factor: 8.340

9.  Altered life cycle in Arabidopsis plants expressing PsUGT1, a UDP-glucuronosyltransferase-encoding gene from pea.

Authors:  Ho-Hyung Woo; Kym F Faull; Ann M Hirsch; Martha C Hawes
Journal:  Plant Physiol       Date:  2003-08-21       Impact factor: 8.340

10.  Systematic localization of the Arabidopsis core cell cycle proteins reveals novel cell division complexes.

Authors:  Joanna Boruc; Evelien Mylle; Maria Duda; Rebecca De Clercq; Stephane Rombauts; Danny Geelen; Pierre Hilson; Dirk Inzé; Daniel Van Damme; Eugenia Russinova
Journal:  Plant Physiol       Date:  2009-12-16       Impact factor: 8.340

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