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BMC Med Genet. 2019 May 31;20(1):96. doi: 10.1186/s12881-019-0824-9.

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

Wang S1,2, Zhu W1,2, Xu J1,2, Guo Y1,2, Yan J2,3, Meng L1,2, Jiang C4,5, Lu S6,7.

Author information

1
Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, People's Republic of China.
2
Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, Shaanxi, 710061, People's Republic of China.
3
Department of Human Anatomy, Histology and Embryology, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, People's Republic of China.
4
Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, People's Republic of China. jiangcongshan@xjtu.edu.cn.
5
Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, Shaanxi, 710061, People's Republic of China. jiangcongshan@xjtu.edu.cn.
6
Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, People's Republic of China. lushemin@xjtu.edu.cn.
7
Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, Shaanxi, 710061, People's Republic of China. lushemin@xjtu.edu.cn.

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.

KEYWORDS:

Bioinformatics; Interaction network; Target gene; miR-15/107 family

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