Rice blast disease, caused by the pathogenic fungus Magnaporthe grisea, is a serious issue in rice (Oryza sativa L.) growing regions of the world. Transcript profiling in rice inoculated with the fungus has been investigated using the transcriptomics technology, serial analysis of gene expression (SAGE). Short sequence tags containing sufficient information which are ten base-pairs representing the unique transcripts were identified by SAGE technology. We identified a total of 910 tag sequences via the GenBank database, and the resulting genes were shown to be up-regulated in all functional categories under the fungal biotic stress. Compared to the compatible interaction, the stress and defense genes in the incompatible interaction appear to be more up-regulated. Particularly, thaumatin-like gene (TLP) was investigated in determining the gene and protein expression level utilizing Northern and Western blotting analyses, resulting in an increase in both the gene and the protein expression level which arose earlier in the incompatible interaction than in the compatible interaction.Keywords : abiotic stress, Magnaporthe grisea, Oryza sativa, pathogenesis-related gene, rice blast, SAGE One of the most devastating diseases in rice, called rice blast, is caused by Magnaporthe grisea (Hamer and Talbot, 1998;Kim et al., 2001). The rice blast disease is a very serious and recurrent issue in rice-growing regions of the world (Talbot, 2003). The infection usually occurs on rice plant leaves where the fungal spores of M. grisea land and attach themselves using the fungal unique adhesive structure called an appressorium (Hamer et al., 1988) to penetrate rice leaf surface by building high turgor pressure (De Jong et al., 1997). Every year, the rice blast infection has the potential to affect the amount of harvested rice by which about sixty million people can be fed (Zeifler et al., 1994), generating significant economical and humanitarian issues in rice-growing areas. It has also been reported that some strains of the fungal M. grisea not only kill rice, but also attack other major cereals and grasses (Valent and Chumley, 1991).In an effort to remedy this agricultural crisis, finding the genes that are able to defend against the fungal biotic stress would be of great value. It is an obvious interest to determine which genes would be involved in the regulation and with what gene expression level in response to M. grisea infection. Transcriptomics can be used to determine the gene expression level of the messenger RNA (mRNA) in a given cell population. Transcriptomics is the study of the transcriptome, which is the set of all mRNA or transcripts produced in a population of cells. The transcriptome varies under stress conditions because all mRNA transcripts in a cell are a reflection of the genes that are being actively expressed under any stress conditions. Two technologies can be useful tools for transcriptomics. One of the technologies is microarray analysis, which utilizes labeled cDNAs hybridized to an array of DNA element...