Getting poster data...
Maria Vila-Casadesús, Jan Graffelman, Meritxell Gironella, Juan José Lozano (Bioinformatics Platform CIBERehd, Barcelona, Spain; Gastrointestinal & Pancreatic Oncology Team CIBERehd/IDIBAPS/H.C.B., Barcelona, Spain; Department of Statistics and O.R. UPC, Barcelona, Spain)MicroRNAs (miRNAs) are small RNAs that regulate the expression of target mRNAs by specific binding on the mRNA 3'UTR and promoting mRNA degradation in the majority of cases. It is often of interest to know the specific targets of a miRNA in order to study them in a particular disease context. In that sense, some databases have been designed to predict potential miRNA-mRNA interactions based on hibridization sequences. However, one of the main limitations is that these databases have too many false positives and do not take into account disease-specific interactions. We have developed an R package (miRComb) able to combine miRNA and mRNA expression data with hibridization information, in order to find potential miRNA-mRNA targets that are more reliable to occur in a specific physiological or disease context. This poster summarizes the pipeline and the main outputs of this package by using a prostate cancer dataset (GSE21032). Globally, we show that the miRComb package is a useful tool to deal with miRNA and mRNA expression data and helps to filter the high amount of miRNA-mRNA interactions obtained from the pre-existing miRNA target prediction databases.