Epigenetics is devoted to the study of molecular mechanisms that can modify the structure of the chromatin fiber and, in that way, regulate large-scale patterns of gene transcription. In mammals, most molecular mechanisms that are considered 'epigenetic' have key roles during development and in adult cells and tissues, and have been implicated in a number of human diseases, including cancer. Here, we outline a brief overview on the contribution of the mouse model system to the emergence of epigenetics as a research field on its own.
The effects of retinol (vitamin A) depend on its transport and binding to nuclear receptors. The cellular retinol-binding protein 1 (CRBP1) and the retinoic acid receptor beta2 (RARbeta2) are key components of this process. Loss of CRBP1 expression occurs in breast tumors, but the mechanism is not known. We examined whether CpG island hypermethylation of CRBP1 was responsible for its inactivation in cancer cell lines (n = 36) and primary tumors (n = 553) and its relation to RARbeta2 methylation. Hypermethylation of CRBP1 was common in tumors and cancer cell lines, with the highest frequency in lymphoma and gastrointestinal carcinomas. Hypermethylation correlated with loss of CRBP1 mRNA, and in vitro treatment with the demethylating agent 5-aza-2'-deoxycytidine reactivated CRBP1 expression. CRBP1 methylation appeared in premalignant lesions and frequently occurred with RARbeta2 hypermethylation in the same tumors. Finally, we observed that a higher dietary retinol intake was associated with reduced frequencies of methylation of both genes. Epigenetic disruption of CRBP1 is a common event in human cancer that may have important implications for cancer prevention and treatment using retinoids.
Abstract In coastal aquifers, the seawater intrusion can mask the effects of high salinity regional flows, connate waters mobilization or contaminant process. Therefore, to discriminate between all the processes that have taken place in the coastal aquifer, is a complex task. Normally, traditional hydrogeochemical methods (e.g., Piper and Durov) together with statistical multivariate techniques (e.g., cluster and factorial analysis) and other methods (e.g., ionic deltas and isotopic studies) have been used to understand the hydrogeochemistry of aquifers and to confirm previous hypothesis. This paper presents a characterization of the salinization process in coastal aquifers, by means a fuzzy logic and data mining based methodology, which has not been used before for this purpose in this environmental area. The proposed fuzzy methodology is based on the use of the data mining computer tool Predictive Fuzzy Rules Generator (PreFuRGe). The results have been obtained by processing groundwater samples analyses with PreFuRGe. The parameters used for the experimentation have been: temperature, electric conductivity, redox potential, total dissolved solids, silicon dioxide, oxidability, major ions (chloride, sulfate, bicarbonate, nitrate, calcium, magnesium, sodium and potassium), and minor ions (arsenic, bromide, lithium, boron, strontium, chromium and fluoride). The application of this method has made it possible to differentiate several overlapping hydrogeochemical processes, such as seawater intrusion, the entry of regional groundwater flows with high concentrations of strontium, magnesium, lithium and sulfates, and the effect of contamination from agricultural activities, with the presence of nitrates. The qualitative obtained results in this paper have been compared to previous researches carried out in the same environmental area, and it is proved that the used fuzzy methodology is a powerful tool for discriminating between overlapping geogenic and anthropogenic processes in coastal aquifers.