Background: Although miR-124 molecule has been known as an inducer of neurogenesis, few researches have been done on the targets of this molecule and its functional mechanisms in differentiation toward neurons and maintaining neuronal state. The microarray technique has been established as the reference method for studying the genes under the control of miRNAs. However, the high cost of this method has hampered its use in most research centers. On the other hand, the improvement of bioinformatical algorithms and computer modeling systems has led to the development of the bioinformatical softwares that can predict mRNA targets for miRNAs. Therefore, the aim of this theoretical study was to bioinformatically evaluate the effect of miR-124 on transcription factors that can be involved in neurogenesis and neuronal cell amplification, by using various specific softwares. Materials and Methods: Using different algorithms in TargetScan, DIANA and miRWalk databases, the potential transcription factors targets of miR-124 were identified. Then, a score table was prepared from the candidate genes, based on the affinity of the seed region of miR-124 and the number of targets in the 3`-UTR region of transcription factors. Finally, transcription factors with higher scores were chosen as candidates for practical analysis.

Results: The results of bioinformaical analysis showed that the LAMC1, ITGB1, PTBP1, SOX9, SP1, and EFNB1 molecules are the most potential factors that might be affected by miR-124 during neurogenesis.

Conclusion: It seems that transcription factor SP1 is under the control of the miR-124 and plays a crucial role in neurogenesis process. Therefore, this protein can be considered as a suitable new candidate for experimental evaluation.