Interpreting the MicroRNA-15/107 family: interaction identification by combining network based and experiment supported approach
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 th...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2019-05-01
|
Series: | BMC Medical Genetics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12881-019-0824-9 |
id |
doaj-cbfbaa5208624263847a8d37becddc2d |
---|---|
record_format |
Article |
spelling |
doaj-cbfbaa5208624263847a8d37becddc2d2021-04-02T15:32:30ZengBMCBMC Medical Genetics1471-23502019-05-0120111010.1186/s12881-019-0824-9Interpreting the MicroRNA-15/107 family: interaction identification by combining network based and experiment supported approachSi Wang0Wenhua Zhu1Jing Xu2Yuanxu Guo3Jidong Yan4Liesu Meng5Congshan Jiang6Shemin Lu7Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi’an Jiaotong University Health Science CenterDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi’an Jiaotong University Health Science CenterDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi’an Jiaotong University Health Science CenterDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi’an Jiaotong University Health Science CenterKey Laboratory of Environment and Genes Related to Diseases (Xi’an Jiaotong University), Ministry of EducationDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi’an Jiaotong University Health Science CenterDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi’an Jiaotong University Health Science CenterDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi’an Jiaotong University Health Science CenterAbstract 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.http://link.springer.com/article/10.1186/s12881-019-0824-9miR-15/107 familyTarget geneBioinformaticsInteraction network |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Si Wang Wenhua Zhu Jing Xu Yuanxu Guo Jidong Yan Liesu Meng Congshan Jiang Shemin Lu |
spellingShingle |
Si Wang Wenhua Zhu Jing Xu Yuanxu Guo Jidong Yan Liesu Meng Congshan Jiang Shemin Lu Interpreting the MicroRNA-15/107 family: interaction identification by combining network based and experiment supported approach BMC Medical Genetics miR-15/107 family Target gene Bioinformatics Interaction network |
author_facet |
Si Wang Wenhua Zhu Jing Xu Yuanxu Guo Jidong Yan Liesu Meng Congshan Jiang Shemin Lu |
author_sort |
Si Wang |
title |
Interpreting the MicroRNA-15/107 family: interaction identification by combining network based and experiment supported approach |
title_short |
Interpreting the MicroRNA-15/107 family: interaction identification by combining network based and experiment supported approach |
title_full |
Interpreting the MicroRNA-15/107 family: interaction identification by combining network based and experiment supported approach |
title_fullStr |
Interpreting the MicroRNA-15/107 family: interaction identification by combining network based and experiment supported approach |
title_full_unstemmed |
Interpreting the MicroRNA-15/107 family: interaction identification by combining network based and experiment supported approach |
title_sort |
interpreting the microrna-15/107 family: interaction identification by combining network based and experiment supported approach |
publisher |
BMC |
series |
BMC Medical Genetics |
issn |
1471-2350 |
publishDate |
2019-05-01 |
description |
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. |
topic |
miR-15/107 family Target gene Bioinformatics Interaction network |
url |
http://link.springer.com/article/10.1186/s12881-019-0824-9 |
work_keys_str_mv |
AT siwang interpretingthemicrorna15107familyinteractionidentificationbycombiningnetworkbasedandexperimentsupportedapproach AT wenhuazhu interpretingthemicrorna15107familyinteractionidentificationbycombiningnetworkbasedandexperimentsupportedapproach AT jingxu interpretingthemicrorna15107familyinteractionidentificationbycombiningnetworkbasedandexperimentsupportedapproach AT yuanxuguo interpretingthemicrorna15107familyinteractionidentificationbycombiningnetworkbasedandexperimentsupportedapproach AT jidongyan interpretingthemicrorna15107familyinteractionidentificationbycombiningnetworkbasedandexperimentsupportedapproach AT liesumeng interpretingthemicrorna15107familyinteractionidentificationbycombiningnetworkbasedandexperimentsupportedapproach AT congshanjiang interpretingthemicrorna15107familyinteractionidentificationbycombiningnetworkbasedandexperimentsupportedapproach AT sheminlu interpretingthemicrorna15107familyinteractionidentificationbycombiningnetworkbasedandexperimentsupportedapproach |
_version_ |
1721559823134228480 |