earticle

영어

The Gram-positive soil bacterium, S. coelicolor A3(2) produces various antibiotics. There are various approaches to improve antibiotics production and we focused transcriptional regulators. By controlling not only pathway-specific transcriptional regulators but also novel regulators, we can control antibiotics production. To find novel regulators, we used DACA method developed in our lab, and the method to analyse microarray data. It is possible to get the raw array data from the NCBI’s GEO. We obtained 11 Streptomyces GEO datasets, which are the mRNA expression data from various conditions. After combining every dataset, we performed normalization. And we compared every normalized profile with interesting antibiotics cluster profiles, and in this case, we used RED cluster and ACT cluster. By using Pearson product-moment correlation, we selected 119 genes using RED cluster and 85 genes using ACT cluster. Our hypothesis is that genes which show similar expression profiles with antibiotics cluster have possibility to affect antibiotics production. In conclusion, we found 15 regulator genes, some are already reported and the others are not yet reported, but studied in our lab.