Literature DB >> 16769687

RARTF: database and tools for complete sets of Arabidopsis transcription factors.

Kei Iida1, Motoaki Seki, Tetsuya Sakurai, Masakazu Satou, Kenji Akiyama, Tetsuro Toyoda, Akihiko Konagaya, Kazuo Shinozaki.   

Abstract

More than 5% of all genes in the Arabidopsis thaliana genome have been assumed to code for transcription factors. However, it has been difficult to accurately identify them. To construct proper sets of transcription factors, we used PSI-BLAST and InterProScan, and also checked several families manually. Especially to determine major Arabidopsis transcription factors (MYB, AP2/EREBP, bHLH, NAC, MADS, bZIP, WRKY), we compared the PSI-BLAST search results with those in recent reports. Finally, we identified 1968 proteins as transcription factors (7.4% of all Arabidopsis genes). We established a database named RARTF (RIKEN Arabidopsis Transcription Factor database, http://rarge.gsc.riken.jp/rartf/) based on the identified transcription factors. In RARTF, we provide information on the functional motif of transcription factors, full-length cDNAs, alternative pre-mRNA splicing events and Ac/Ds transposon-tagged mutants. We also provide expression profiles of 400 transcription factor genes in six experiments. We will report expression profiles of all transcription factor genes in various plant tissues under various stress and hormone conditions in the near future.

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Year:  2005        PMID: 16769687     DOI: 10.1093/dnares/dsi011

Source DB:  PubMed          Journal:  DNA Res        ISSN: 1340-2838            Impact factor:   4.458


  67 in total

1.  Cloning and characterization of the stress-induced bZIP gene ZmbZIP60 from maize.

Authors:  Bo Wang; Jun Zheng; Yunjun Liu; Jianhua Wang; Guoying Wang
Journal:  Mol Biol Rep       Date:  2012-02-04       Impact factor: 2.316

2.  Identification of recognition sequence of ANAC078 protein by the cyclic amplification and selection of targets technique.

Authors:  Yukinori Yabuta; Teruyuki Morishita; Yusuke Kojima; Takanori Maruta; Ayako Nishizawa-Yokoi; Shigeru Shigeoka
Journal:  Plant Signal Behav       Date:  2010-06-01

Review 3.  WRKY: its structure, evolutionary relationship, DNA-binding selectivity, role in stress tolerance and development of plants.

Authors:  Parinita Agarwal; M P Reddy; Jitendra Chikara
Journal:  Mol Biol Rep       Date:  2010-11-25       Impact factor: 2.316

4.  Identification, phylogeny, and transcript profiling of ERF family genes during development and abiotic stress treatments in tomato.

Authors:  Manoj K Sharma; Rahul Kumar; Amolkumar U Solanke; Rita Sharma; Akhilesh K Tyagi; Arun K Sharma
Journal:  Mol Genet Genomics       Date:  2010-10-05       Impact factor: 3.291

Review 5.  Legume transcription factors: global regulators of plant development and response to the environment.

Authors:  Michael K Udvardi; Klementina Kakar; Maren Wandrey; Ombretta Montanari; Jeremy Murray; Andry Andriankaja; Ji-Yi Zhang; Vagner Benedito; Julie M I Hofer; Foo Chueng; Christopher D Town
Journal:  Plant Physiol       Date:  2007-06       Impact factor: 8.340

Review 6.  Functional analysis of transcription factors in Arabidopsis.

Authors:  Nobutaka Mitsuda; Masaru Ohme-Takagi
Journal:  Plant Cell Physiol       Date:  2009-05-28       Impact factor: 4.927

7.  NEMATIC: a simple and versatile tool for the in silico analysis of plant-nematode interactions.

Authors:  Javier Cabrera; Regla Bustos; Bruno Favery; Carmen Fenoll; Carolina Escobar
Journal:  Mol Plant Pathol       Date:  2014-02-12       Impact factor: 5.663

8.  Omics and bioinformatics: an essential toolbox for systems analyses of plant functions beyond 2010.

Authors:  Kazuo Shinozaki; Hitoshi Sakakibara
Journal:  Plant Cell Physiol       Date:  2009-07       Impact factor: 4.927

Review 9.  Genomics and bioinformatics resources for crop improvement.

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

10.  In silico analysis of transcription factor repertoire and prediction of stress responsive transcription factors in soybean.

Authors:  Keiichi Mochida; Takuhiro Yoshida; Tetsuya Sakurai; Kazuko Yamaguchi-Shinozaki; Kazuo Shinozaki; Lam-Son Phan Tran
Journal:  DNA Res       Date:  2009-11-02       Impact factor: 4.458

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