Predicted Novel Micrornas Located in Human Igf1r Gene Using Bioinformatic Analysis

Background and aim: insulin-like growth factor 1 receptor (igf1r) signaling is a complicated and regulated network essential for cell proliferation and survival. igf1r expression and activity increases in numerous tumor types and is reported to contribute to cancer cell proliferation and apoptosis. therefore, micrornas (mirnas) that are encoded within the igf1r gene might have roles in cancer development. here, novel micrornas located in human igf1r gene were bioinformatically predicted. methods: mipred online classifier and ssc profiler programs were utilized to search for the stem-loop structures within the genomic area of interest. cidmirna in parallel with microprocessor svm program were used for prediction of drosha processing sites. conservation status of the putative mirna and its precursor sequence was analyzed by using ucsc genome browser database. furthermore, the igf1r-mirs prediction was also performed by using maturebayes, pmirp mirna spotter, mirmat and mirz online tools. mirbase database was browsed for checking sequence similarities with igf1r -mirs and mature igf1r-mirs within human dna and from different species. also, rnafold which applies the minimum-free energy (mfe) rna structure prediction algorithm, was used for approximate prediction of the stem-loop structure. in order to find potential target genes for the novel mirna, diana microt web server, mr-microt and rnahybrid tool were used. diana-mirpath and david online tools were used to find the pathways in which igf1r -mirs are involved. results: igf1r with about 300kb length have 19 predicted mirna stem-loop like structures which have relatively conserved sequences. conclusion: overall, accumulative evidences indicated the presence of novel mirnas encoded within the igf1r oncogene.