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Plant Physiology 138:1289-1300 (2005) © 2005 American Society of Plant Biologists KaPPA-View. A Web-Based Analysis Tool for Integration of Transcript and Metabolite Data on Plant Metabolic Pathway Maps1,[w]Kazusa DNA Research Institute, Kisarazu, Chiba 2920818, Japan (T.T., N.S., H.S., K.S., D.S.); Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Midori, Yokohama 2268501, Japan (H.O.); Graduate School of Life Sciences, Tohoku University, Aoba, Sendai 9808578, Japan (K.N.); Institute of Multidisciplinary Research for Advanced Materials, Tohoku University, Aoba, Sendai 9808577, Japan (T.K.); Research Institute for Sustainable Humanosphere, Kyoto University, Uji, Kyoto 6110011, Japan (T.U.); Marine Biotechnology Institute, Kamaishi, Iwate 0260001, Japan (N.M.); and Graduate School of Pharmaceutical Sciences, Chiba University, Inage, Chiba 2638522, Japan (K.S.)
The application of DNA array technology and chromatographic separation techniques coupled with mass spectrometry to transcriptomic and metabolomic analyses in plants has resulted in the generation of considerable quantitative data related to transcription and metabolism. The integration of "omic" data is one of the major concerns associated with research into identifying gene function. Thus, we developed a Web-based tool, KaPPA-View, for representing quantitative data for individual transcripts and/or metabolites on plant metabolic pathway maps. We prepared a set of comprehensive metabolic pathway maps for Arabidopsis (Arabidopsis thaliana) and depicted these graphically in Scalable Vector Graphics format. Individual transcripts assigned to a reaction are represented symbolically together with the symbols of the reaction and metabolites on metabolic pathway maps. Using quantitative values for transcripts and/or metabolites submitted by the user as Comma Separated Value-formatted text through the Internet, the KaPPA-View server inserts colored symbols corresponding to a defined metabolic process at that site on the maps and returns them to the user's browser. The server also provides information on transcripts and metabolites in pop-up windows. To demonstrate the process, we describe the dataset obtained for transgenic plants that overexpress the PAP1 gene encoding a MYB transcription factor on metabolic pathway maps. The presentation of data in this manner is useful for viewing metabolic data in a way that facilitates the discussion of gene function.
1 This work was supported by New Energy and Industrial Technology Development (as part of the project called Development of Fundamental Technologies for Controlling the Process of Material Production of Plants). 2 Present address: Graduate School of Frontier Sciences, University of Tokyo, 515 Kashiwanoha, Kashiwa, Chiba, 2778561, Japan. [w] The online version of this article contains Web-only data. www.plantphysiol.org/cgi/doi/10.1104/pp.105.060525. * Corresponding author; e-mail shibata{at}kazusa.or.jp; fax 81438523948. Received February 6, 2005; returned for revision April 28, 2005; accepted April 28, 2005. This article has been cited by other articles:
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