CREB,another culprit for TIGAR promoter activity and expression

Cellular expression of the TP53-induced glycolysis and apoptosis regulator (TIGAR) protein results in the down-regulation of glycolysis, reduction of intracellular levels of reactive oxygen species, and protection from apoptosis. However, despite its biological importance, the mechanisms that regulate its expression remain obscure. The bioinformatic analysis performed in this study indicates that the TIGAR promoter region is highly conserved among species. Further analysis using 5′-deletion analysis and site-directed mutagenesis demonstrated that the region at −4/+13 contained a cAMP-response element (CRE). EMSA and chromatin immunoprecipitation showed that the site was recognized by CRE-binding protein (CREB). Furthermore, knockdown of CREB substantially reduced promoter activity and TIGAR expression in cells. In addition, over-expression of either CREB or forskolin enhanced promoter activity and TIGAR expression. These results provide evidence that CREB regulates TIGAR expression via a CRE-binding site at the TIGAR promoter.     

LinkNMF: Identification of histone modification modules in the human genome using nonnegative matrix factorization

Histone modifications are ubiquitous processes involved in various cellular mechanisms. Systemic analysis of multiple chromatin modifications has been used to characterize various chromatin states associated with functional DNA elements, gene expression, and specific biological functions. However, identification of modular modification patterns is still required to understand the functional associations between histone modification patterns and specific chromatin/DNA binding factors. To recognize modular modification patterns, we developed a novel algorithm that combines nonnegative matrix factorization (NMF) and a clique-detection algorithm. We applied it, called LinkNMF, to generate a comprehensive modification map in human CD4 + T cell promoter regions. Initially, we identified 11 modules not recognized by conventional approaches. The modules were grouped into two major classes: gene activation and repression. We found that genes targeted by each module were enriched with distinguishable biological functions, suggesting that each modular pattern plays a unique functional role. To explain the formation of modular patterns, we investigated the module-specific binding patterns of chromatin regulators. Application of LinkNMF to histone modification maps of diverse cells and developmental stages will be helpful for understanding how histone modifications regulate gene expression. The algorithm is available on our website at biodb.kaist.ac.kr/LinkNMF.