Identification of rifampin-regulated functional modules and related microRNAs in human hepatocytes based on the protein interaction network

dc.contributor.authorLi, Jin
dc.contributor.authorWang, Ying
dc.contributor.authorDai, Xuefeng
dc.contributor.authorCong, Wang
dc.contributor.authorFeng, Weixing
dc.contributor.authorXu, Chengzhen
dc.contributor.authorDeng, Yulin
dc.contributor.authorWang, Yue
dc.contributor.authorSkaar, Todd C.
dc.contributor.authorLiang, Hong
dc.contributor.authorLiu, Yunlong
dc.contributor.authorWang, Lei
dc.contributor.departmentDepartment of Medical and Molecular Genetics, IU School of Medicineen_US
dc.date.accessioned2017-05-19T20:28:50Z
dc.date.available2017-05-19T20:28:50Z
dc.date.issued2016-08-22
dc.description.abstractBACKGROUND: In combination with gene expression profiles, the protein interaction network (PIN) constructs a dynamic network that includes multiple functional modules. Previous studies have demonstrated that rifampin can influence drug metabolism by regulating drug-metabolizing enzymes, transporters, and microRNAs (miRNAs). Rifampin induces gene expression, at least in part, by activating the pregnane X receptor (PXR), which induces gene expression; however, the impact of rifampin on global gene regulation has not been examined under the molecular network frameworks. METHODS: In this study, we extracted rifampin-induced significant differentially expressed genes (SDG) based on the gene expression profile. By integrating the SDG and human protein interaction network (HPIN), we constructed the rifampin-regulated protein interaction network (RrPIN). Based on gene expression measurements, we extracted a subnetwork that showed enriched changes in molecular activity. Using the Kyoto Encyclopedia of Genes and Genomes (KEGG), we identified the crucial rifampin-regulated biological pathways and associated genes. In addition, genes targeted by miRNAs that were significantly differentially expressed in the miRNA expression profile were extracted based on the miRNA-gene prediction tools. The miRNA-regulated PIN was further constructed using associated genes and miRNAs. For each miRNA, we further evaluated the potential impact by the gene interaction network using pathway analysis. RESULTS AND DISCCUSSION: We extracted the functional modules, which included 84 genes and 89 interactions, from the RrPIN, and identified 19 key rifampin-response genes that are associated with seven function pathways that include drug response and metabolism, and cancer pathways; many of the pathways were supported by previous studies. In addition, we identified that a set of 6 genes (CAV1, CREBBP, SMAD3, TRAF2, KBKG, and THBS1) functioning as gene hubs in the subnetworks that are regulated by rifampin. It is also suggested that 12 differentially expressed miRNAs were associated with 6 biological pathways. CONCLUSIONS: Our results suggest that rifampin contributes to changes in the expression of genes by regulating key molecules in the protein interaction networks. This study offers valuable insights into rifampin-induced biological mechanisms at the level of miRNAs, genes and proteins.en_US
dc.identifier.citationLi, J., Wang, Y., Wang, L., Dai, X., Cong, W., Feng, W., … Liu, Y. (2016). Identification of rifampin-regulated functional modules and related microRNAs in human hepatocytes based on the protein interaction network. BMC Genomics, 17(Suppl 7), 517. http://doi.org/10.1186/s12864-016-2909-6en_US
dc.identifier.urihttps://hdl.handle.net/1805/12657
dc.language.isoen_USen_US
dc.publisherBioMed Centralen_US
dc.relation.isversionof10.1186/s12864-016-2909-6en_US
dc.relation.journalBMC Genomicsen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.sourcePMCen_US
dc.subjectGene expression profilesen_US
dc.subjectProtein interaction networken_US
dc.subjectRifampinen_US
dc.subjectDrug metabolismen_US
dc.subjectEnzymesen_US
dc.subjectTransportersen_US
dc.subjectmicroRNAsen_US
dc.titleIdentification of rifampin-regulated functional modules and related microRNAs in human hepatocytes based on the protein interaction networken_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
12864_2016_Article_2909.pdf
Size:
1.78 MB
Format:
Adobe Portable Document Format
Description:
Main Article
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.88 KB
Format:
Item-specific license agreed upon to submission
Description: