化學物質的表觀基因體雲端分析系統

Chemicals in environment affect our health and daily life; some chemicals may cause food safety hazards, and some of them lead to diseases by inferring biological pathways. MicroRNAs (miRNAs) are about 22 nucleotides, non-coding RNAs that affect various cellular functions, and play a regulatory role in different organisms including human. Until now, more than 2500 mature miRNAs in human have been discovered and registered, but still lack of information or algorithms to reveal the relationships among miRNAs, environmental chemicals and human health. To develop a creditable method for predicting relationships between chemicals and epigenomics, the database can not only compare the gene lists affected by chemicals and miRNAs, but also use curated pathway to find possibly interactions. The web server we describe here is an online system for evaluating the interactions/relationships between chemicals, miRNAs and pathways. Here, we manually retrieved the associations of miRNAs and chemicals from literatures. We will build an online web server system, which contains epigenomics information, disease names, MeSH IDs, chemical IDs, gene names, pathways, and the literature PubMed IDs.