Analysis of Microarray-Identified Genes and MicroRNAs Associated with Idiopathic Pulmonary Fibrosis
The aim of this study was to identify potential microRNAs and genes associated with idiopathic pulmonary fibrosis (IPF) through web-available microarrays. The microRNA microarray dataset GSE32538 and the mRNA datasets GSE32537, GSE53845, and GSE10667 were downloaded from the Gene Expression Omnibus...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
|
| Series: | Mediators of Inflammation |
| Online Access: | http://dx.doi.org/10.1155/2017/1804240 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832556118532947968 |
|---|---|
| author | Lichao Fan Xiaoting Yu Ziling Huang Shaoqiang Zheng Yongxin Zhou Hanjing Lv Yu Zeng Jin-Fu Xu Xuyou Zhu Xianghua Yi |
| author_facet | Lichao Fan Xiaoting Yu Ziling Huang Shaoqiang Zheng Yongxin Zhou Hanjing Lv Yu Zeng Jin-Fu Xu Xuyou Zhu Xianghua Yi |
| author_sort | Lichao Fan |
| collection | DOAJ |
| description | The aim of this study was to identify potential microRNAs and genes associated with idiopathic pulmonary fibrosis (IPF) through web-available microarrays. The microRNA microarray dataset GSE32538 and the mRNA datasets GSE32537, GSE53845, and GSE10667 were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed miRNAs (DE-miRNAs)/genes (DEGs) were screened with GEO2R, and their associations with IPF were analyzed by comprehensive bioinformatic analyses. A total of 45 DE-microRNAs were identified between IPF and control tissues, whereas 67 common DEGs were determined to exhibit the same expression trends in all three microarrays. Furthermore, functional analysis indicated that microRNAs in cancer and ECM-receptor interaction were the most significant pathways and were enriched by the 45 DE-miRNAs and 67 common DEGs. Finally, we predicted potential microRNA-target interactions between 17 DE-miRNAs and 17 DEGs by using at least three online programs. A microRNA-mediated regulatory network among the DE-miRNAs and DEGs was constructed that might shed new light on potential biomarkers for the prediction of IPF progression. |
| format | Article |
| id | doaj-art-9546d44ad73243e38ec1b878428c26ca |
| institution | Kabale University |
| issn | 0962-9351 1466-1861 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Mediators of Inflammation |
| spelling | doaj-art-9546d44ad73243e38ec1b878428c26ca2025-02-03T05:46:21ZengWileyMediators of Inflammation0962-93511466-18612017-01-01201710.1155/2017/18042401804240Analysis of Microarray-Identified Genes and MicroRNAs Associated with Idiopathic Pulmonary FibrosisLichao Fan0Xiaoting Yu1Ziling Huang2Shaoqiang Zheng3Yongxin Zhou4Hanjing Lv5Yu Zeng6Jin-Fu Xu7Xuyou Zhu8Xianghua Yi9Department of Pathology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, ChinaDepartment of Pathology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, ChinaDepartment of Pathology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, ChinaDepartment of Radiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, ChinaDepartment of Thoracic-Cardiovascular Surgery, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, ChinaDepartment of Respiratory Medicine, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, ChinaDepartment of Pathology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, ChinaDepartment of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200443, ChinaDepartment of Pathology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, ChinaDepartment of Pathology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, ChinaThe aim of this study was to identify potential microRNAs and genes associated with idiopathic pulmonary fibrosis (IPF) through web-available microarrays. The microRNA microarray dataset GSE32538 and the mRNA datasets GSE32537, GSE53845, and GSE10667 were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed miRNAs (DE-miRNAs)/genes (DEGs) were screened with GEO2R, and their associations with IPF were analyzed by comprehensive bioinformatic analyses. A total of 45 DE-microRNAs were identified between IPF and control tissues, whereas 67 common DEGs were determined to exhibit the same expression trends in all three microarrays. Furthermore, functional analysis indicated that microRNAs in cancer and ECM-receptor interaction were the most significant pathways and were enriched by the 45 DE-miRNAs and 67 common DEGs. Finally, we predicted potential microRNA-target interactions between 17 DE-miRNAs and 17 DEGs by using at least three online programs. A microRNA-mediated regulatory network among the DE-miRNAs and DEGs was constructed that might shed new light on potential biomarkers for the prediction of IPF progression.http://dx.doi.org/10.1155/2017/1804240 |
| spellingShingle | Lichao Fan Xiaoting Yu Ziling Huang Shaoqiang Zheng Yongxin Zhou Hanjing Lv Yu Zeng Jin-Fu Xu Xuyou Zhu Xianghua Yi Analysis of Microarray-Identified Genes and MicroRNAs Associated with Idiopathic Pulmonary Fibrosis Mediators of Inflammation |
| title | Analysis of Microarray-Identified Genes and MicroRNAs Associated with Idiopathic Pulmonary Fibrosis |
| title_full | Analysis of Microarray-Identified Genes and MicroRNAs Associated with Idiopathic Pulmonary Fibrosis |
| title_fullStr | Analysis of Microarray-Identified Genes and MicroRNAs Associated with Idiopathic Pulmonary Fibrosis |
| title_full_unstemmed | Analysis of Microarray-Identified Genes and MicroRNAs Associated with Idiopathic Pulmonary Fibrosis |
| title_short | Analysis of Microarray-Identified Genes and MicroRNAs Associated with Idiopathic Pulmonary Fibrosis |
| title_sort | analysis of microarray identified genes and micrornas associated with idiopathic pulmonary fibrosis |
| url | http://dx.doi.org/10.1155/2017/1804240 |
| work_keys_str_mv | AT lichaofan analysisofmicroarrayidentifiedgenesandmicrornasassociatedwithidiopathicpulmonaryfibrosis AT xiaotingyu analysisofmicroarrayidentifiedgenesandmicrornasassociatedwithidiopathicpulmonaryfibrosis AT zilinghuang analysisofmicroarrayidentifiedgenesandmicrornasassociatedwithidiopathicpulmonaryfibrosis AT shaoqiangzheng analysisofmicroarrayidentifiedgenesandmicrornasassociatedwithidiopathicpulmonaryfibrosis AT yongxinzhou analysisofmicroarrayidentifiedgenesandmicrornasassociatedwithidiopathicpulmonaryfibrosis AT hanjinglv analysisofmicroarrayidentifiedgenesandmicrornasassociatedwithidiopathicpulmonaryfibrosis AT yuzeng analysisofmicroarrayidentifiedgenesandmicrornasassociatedwithidiopathicpulmonaryfibrosis AT jinfuxu analysisofmicroarrayidentifiedgenesandmicrornasassociatedwithidiopathicpulmonaryfibrosis AT xuyouzhu analysisofmicroarrayidentifiedgenesandmicrornasassociatedwithidiopathicpulmonaryfibrosis AT xianghuayi analysisofmicroarrayidentifiedgenesandmicrornasassociatedwithidiopathicpulmonaryfibrosis |