Published online 12 May 2005
Article |
Identification of brassinosteroid-related genes by means of transcript co-response analyses
Max-Planck-Institut für Molekulare Pflanzenphysiologie Am Mühlenberg 1, D-14476 Golm, Germany 1Institut für Biochemie und Biologie, Genetik, Universität Potsdam Karl-Liebknecht-Strasse 24-25, Haus 26, D-14476 Golm, Germany
*To whom correspondence should be addressed. Tel: +49 331 567 8258; Fax: +49 331 567 8250; Email: muessig{at}mpimp-golm.mpg.de
Received February 14, 2005. Revised March 14, 2005. Accepted April 21, 2005.
The comprehensive systems-biology database (CSB.DB) was used to reveal brassinosteroid (BR)-related genes from expression profiles based on co-response analyses. Genes exhibiting simultaneous changes in transcript levels are candidates of common transcriptional regulation. Combining numerous different experiments in data matrices allows ruling out outliers and conditional changes of transcript levels. CSB.DB was queried for transcriptional co-responses with the BR-signalling components BRI1 and BAK1: 301 out of 9694 genes represented in the nasc0271 database showed co-responses with both genes. As expected, these genes comprised pathway-involved genes (e.g. 72 BR-induced genes), because the BRI1 and BAK1 proteins are required for BR-responses. But transcript co-response takes the analysis a step further compared with direct approaches because BR-related non BR-responsive genes were identified. Insights into networks and the functional context of genes are provided, because factors determining expression patterns are reflected in correlations. Our findings demonstrate that transcript co-response analysis presents a valuable resource to uncover common regulatory patterns of genes. Different data matrices in CSB.DB allow examination of specific biological questions. All matrices are publicly available through CSB.DB. This work presents one possible roadmap to use the CSB.DB resources.
The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
A. Heese, D. R. Hann, S. Gimenez-Ibanez, A. M. E. Jones, K. He, J. Li, J. I. Schroeder, S. C. Peck, and J. P. Rathjen The receptor-like kinase SERK3/BAK1 is a central regulator of innate immunity in plants PNAS, July 17, 2007; 104(29): 12217 - 12222. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Y. Hirai, K. Sugiyama, Y. Sawada, T. Tohge, T. Obayashi, A. Suzuki, R. Araki, N. Sakurai, H. Suzuki, K. Aoki, et al. Omics-based identification of Arabidopsis Myb transcription factors regulating aliphatic glucosinolate biosynthesis PNAS, April 10, 2007; 104(15): 6478 - 6483. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. Aoki, Y. Ogata, and D. Shibata Approaches for Extracting Practical Information from Gene Co-expression Networks in Plant Biology Plant Cell Physiol., March 1, 2007; 48(3): 381 - 390. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. Obayashi, K. Kinoshita, K. Nakai, M. Shibaoka, S. Hayashi, M. Saeki, D. Shibata, K. Saito, and H. Ohta ATTED-II: a database of co-expressed genes and cis elements for identifying co-regulated gene groups in Arabidopsis Nucleic Acids Res., January 12, 2007; 35(suppl_1): D863 - D869. [Abstract] [Full Text] [PDF] |
||||
![]() |
I. W. Manfield, C.-H. Jen, J. W. Pinney, I. Michalopoulos, J. R. Bradford, P. M. Gilmartin, and D. R. Westhead Arabidopsis Co-expression Tool (ACT): web server tools for microarray-based gene expression analysis. Nucleic Acids Res., July 1, 2006; 34(Web Server issue): W504 - W509. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. van der Graaff, R. Schwacke, A. Schneider, M. Desimone, U.-I. Flugge, and R. Kunze Transcription Analysis of Arabidopsis Membrane Transporters and Hormone Pathways during Developmental and Induced Leaf Senescence Plant Physiology, June 1, 2006; 141(2): 776 - 792. [Abstract] [Full Text] [PDF] |
||||



