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Yoshiteru Suzuki

Publications and source records attributed to Yoshiteru Suzuki.

3 recordsLinked to original sources

DNA microarray analyses reveal a post-irradiation differential time-dependent gene expression profile in yeast cells exposed to X-rays and gamma-rays.

Ionizing radiation (IR) is the most enigmatic of genotoxic stress inducers in our environment that has been around from the eons of time. IR is generally considered harmful, and has been the subject of numerous studies, mostly looking at the DNA damaging effects in cells and the repair mechanisms therein. Moreover, few studies have focused on large-scale identification of cellular responses to IR, and to this end, we describe here an initial study on the transcriptional responses of the unicellular genome model, yeast (Saccharomyces cerevisiae strain S288C), by cDNA microarray. The effect of two different IR, X-rays, and gamma (gamma)-rays, was investigated by irradiating the yeast cells cultured in YPD medium with 50 Gy doses of X- and gamma-rays, followed by resuspension of the cells in YPD for time-course experiments. The samples were collected for microarray analysis at 20, 40, and 80 min after irradiation. Microarray analysis revealed a time-course transcriptional profile of changed gene expressions. Up-regulated genes belonged to the functional categories mainly related to cell cycle and DNA processing, cell rescue defense and virulence, protein and cell fate, and metabolism (X- and gamma-rays). Similarly, for X- and gamma-rays, the down-regulated genes belonged to mostly transcription and protein synthesis, cell cycle and DNA processing, control of cellular organization, cell fate, and C-compound and carbohydrate metabolism categories, respectively. This study provides for the first time a snapshot of the genome-wide mRNA expression profiles in X- and gamma-ray post-irradiated yeast cells and comparatively interprets/discusses the changed gene functional categories as effects of these two radiations vis-à-vis their energy levels.

Down-Regulation↗

Mechanisms of patulin toxicity under conditions that inhibit yeast growth.

Patulin, 4-hydroxy-4H-furo[3,2c]pyran-2(6H)-one, is one of the best characterized and most widely disseminated mycotoxins found in agricultural products. Nonetheless, the mechanisms by which patulin causes toxicity are not well understood. Thus, the cytotoxicity of patulin was characterized by analysis of the yeast transcriptome upon challenge with patulin. Interestingly, patulin-induced yeast gene expression profiles were found to be similar to gene expression patterns obtained after treatment with the antifungal agricultural chemicals thiuram, maneb, and zineb. Moreover, patulin treatment was found to activate protein degradation, especially proteasome activities, sulfur amino acid metabolism, and the defense system for oxidative stress. Damage to DNA by alkylation was also suggested, and this seemed to be repaired by recombinational and excision repair mechanisms. Furthermore, the results provide potential biomarker genes for the detection of patulin in agricultural products. The results suggest the possibility of applying the yeast transcriptome system for the evaluation of chemicals, especially for natural chemicals that are difficult to get by organic synthesis.

Amino Acids, Sulfur↗

Construction of a data dependent analysis (DDA) yeast cDNA microarray experiment for use in toxicogenomics.

DNA microarrays are becoming increasingly popular in toxicogenomic studies. It is common knowledge that multiple repeats of microarray experiments have to be performed with multiple samples to get reliable data, due to experimental variations (both technical and biological) contained in microarray experiments. However, the use of multiple samples and replicate experiments is not practical in the field of environmental toxicology, since environmental samples are limited and microarray experiments are expensive. Thus it is desirable to obtain reliable data from a minimum number of repeats of microarray experiments. To further establish and extend gene expression profiling for toxicogenomics using microarrays, it is necessary to establish an analytical method of microarrays for toxicogenomics. In this study, we attempted to construct a "Data Dependent Analysis (DDA)" yeast cDNA microarray experiment from 100 microarray datasets in order to get reliable data from one microarray experiment.

Carbocyanines↗