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Interpreting the MicroRNA-15/107 family: interaction identification by combining network based and experiment supported approach
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 a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544937/ https://www.ncbi.nlm.nih.gov/pubmed/31151434 http://dx.doi.org/10.1186/s12881-019-0824-9 |
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author | Wang, Si Zhu, Wenhua Xu, Jing Guo, Yuanxu Yan, Jidong Meng, Liesu Jiang, Congshan Lu, Shemin |
author_facet | Wang, Si Zhu, Wenhua Xu, Jing Guo, Yuanxu Yan, Jidong Meng, Liesu Jiang, Congshan Lu, Shemin |
author_sort | Wang, Si |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12881-019-0824-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6544937 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65449372019-06-04 Interpreting the MicroRNA-15/107 family: interaction identification by combining network based and experiment supported approach Wang, Si Zhu, Wenhua Xu, Jing Guo, Yuanxu Yan, Jidong Meng, Liesu Jiang, Congshan Lu, Shemin BMC Med Genet Research Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12881-019-0824-9) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-31 /pmc/articles/PMC6544937/ /pubmed/31151434 http://dx.doi.org/10.1186/s12881-019-0824-9 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Wang, Si Zhu, Wenhua Xu, Jing Guo, Yuanxu Yan, Jidong Meng, Liesu Jiang, Congshan Lu, Shemin Interpreting the MicroRNA-15/107 family: interaction identification by combining network based and experiment supported approach |
title | 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_short | 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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544937/ https://www.ncbi.nlm.nih.gov/pubmed/31151434 http://dx.doi.org/10.1186/s12881-019-0824-9 |
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