Interpreting the MicroRNA-15/107 family: interaction identification by combining network based and experiment supported approach

• Main Authors: Si Wang, Wenhua Zhu, Jing Xu, Yuanxu Guo, Jidong Yan, Liesu Meng, Congshan Jiang, Shemin Lu
• Format: Article
• Language: English
• Published: BMC 2019-05-01
• Series: BMC Medical Genetics
• Subjects: miR-15/107 family; Target gene; Bioinformatics; Interaction network
• Online Access: http://link.springer.com/article/10.1186/s12881-019-0824-9

Abstract Background The highly conservative miR-15/107 family (also named as miR-15/107 gene group) including ten miRNA members is currently recognized strongly implicated in multiple human disorders. Some studies focus on the entire family rather than individual miRNA for a bigger picture, while there is also certain signature dysregulation for some of the individual miRNA implicated even in the same disorder. Methods Faced with the exponential growth of experimental evidence, our study tries to analyze their function and target interactions using various bioinformatics tools. Results Firstly, the evolutionary conservative “AGCAGC” sequence and possible clustered transcriptional pattern were described. Secondly, both the experimentally validated and bioinformatically predicted miRNA-target gene relationship of the entire family was analyzed to understand the mechanism of underlying collective effects for target regulation from the miR-15/107 family. Moreover, pathway analysis among miR-15/107 family was performed and displayed in detail, while its impact on cell proliferation is experimentally validated. Eventually, the dysregulation of miR-15/107 in diseases was discussed. Conclusions In summary, our study proposes that the collective functions and implication of miR-15/107 family in various human diseases are achieved relying on the massive overlapping target genes. While the minor differences within target gene interaction among family members could also explain the signature behavior for some of the individual miRNA in aspects such as its disease-specific dysregulation and various participation in pathways.