five

Integration of metabolism and virulence by Clostridium difficile CodY. Clostridioides difficile

收藏
NIAID Data Ecosystem2026-03-06 收录
下载链接:
https://www.ncbi.nlm.nih.gov/bioproject/PRJNA131631
下载链接
链接失效反馈
官方服务:
资源简介:
CodY, a global regulatory protein that monitors the nutrient sufficiency of the environment by responding to the intracellular levels of GTP and the branched-chain amino acids, was previously shown to be a potent repressor of toxin gene expression in Clostridium difficile during growth in rich medium. In the intestinal tract, such derepression of toxin synthesis may lead to destruction of epithelial cells and the liberation of potential nutrients for the bacterium. CodY is likely to play an important role in regulating overall cellular physiology as well. In this study, DNA microarray analysis and affinity purification of CodY-DNA complexes were used to identify and distinguish the direct and indirect effects of CodY on global gene transcription. A codY null mutation resulted in >4-fold overexpression of 146 genes (organized in 82 apparent transcription units) and underexpression of 19 genes. In addition to the toxin genes, genes for amino acid biosynthesis, nutrient transport, fermentation pathways, membrane components and surface proteins were overexpressed in the codY mutant. Genome-wide analysis identified more than 350 CodY binding regions, many of which are likely to correspond to sites of direct CodY-mediated regulation. About 60% of the CodY-repressed transcription units were associated with binding regions. Several of these genes were confirmed to be direct targets of CodY by gel mobility shift and DNase I footprinting assays. Overall design: The experiment was designed to compare gene expression in codY+ and codY mutant strains grown to mid-exponential phase. Three two-color arrays, representing three biological replicates. Each array compares two strains: JIR8094 (pSD21) and JIR9084::pSD21.
创建时间:
2010-10-09
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作