Regulatory network analysis of hypertension and hypotension microarray data from mouse model
We aimed to identify the potential genes related to blood pressure regulation and screen target genes for high blood pressure (BPH) and low blood pressure (BPL) treatment. The GSE19817 microarray dataset, which included the aorta, liver, heart, and kidney samples from BPH, BPL, and normotensive mice...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2018-10-01
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| Series: | Clinical and Experimental Hypertension |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/10641963.2017.1416120 |
| _version_ | 1797681417603252224 |
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| author | Yanli Zhu Jingming Zhuo Chunmei Li Qian Wang Xuefei Liu Lin Ye |
| author_facet | Yanli Zhu Jingming Zhuo Chunmei Li Qian Wang Xuefei Liu Lin Ye |
| author_sort | Yanli Zhu |
| collection | DOAJ |
| description | We aimed to identify the potential genes related to blood pressure regulation and screen target genes for high blood pressure (BPH) and low blood pressure (BPL) treatment. The GSE19817 microarray dataset, which included the aorta, liver, heart, and kidney samples from BPH, BPL, and normotensive mice, was downloaded from the Gene Expression Omnibus. Principal component analysis (PCA) was performed based on the entire expression profile. Differentially expressed genes (DEGs) were screened, followed by pathway enrichment analysis. Finally, gene regulatory networks were constructed based on BPH-related and BPL-related DEGs in the aorta, liver, heart, and kidney samples. As a result, DEGs were screened within their respective tissues due to high heterogeneity of different tissues. Totally, 2,726 BPH-related DEGs and 2,472 BPL-related DEGs were screened, which were mainly enriched in pathways such as immune response. The topology data of gene regulatory networks constructed by DEGs in the heart, kidney, and liver were similar than that in aorta. Finally, among BPH-related DEGs, Sept6 and Pigx were found in the top 10 differentially regulated DEGs by comparing the BPH-related DEGs of the aorta with the DEGs of the other 3 tissues in the regulatory network. Although among the top 10 differentially regulated BPL-related DEGs, no common differentially regulated DEGs were found, Wif1, Urb2, and Gtf2ird1 were found among the top ten DEGs in the three tissues other than the kidney tissue. Sept6 and Pigx might participate in the pathogenesis of BPH, whereas Gtf2ird1, Urb2, and Wif1 might be critical target genes for BPL treatment. |
| first_indexed | 2024-03-11T23:44:33Z |
| format | Article |
| id | doaj.art-fa67b8f8bf0a4c3ead1eb5056114229b |
| institution | Directory Open Access Journal |
| issn | 1064-1963 1525-6006 |
| language | English |
| last_indexed | 2024-03-11T23:44:33Z |
| publishDate | 2018-10-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Clinical and Experimental Hypertension |
| spelling | doaj.art-fa67b8f8bf0a4c3ead1eb5056114229b2023-09-19T15:19:26ZengTaylor & Francis GroupClinical and Experimental Hypertension1064-19631525-60062018-10-0140763163610.1080/10641963.2017.14161201416120Regulatory network analysis of hypertension and hypotension microarray data from mouse modelYanli Zhu0Jingming Zhuo1Chunmei Li2Qian Wang3Xuefei Liu4Lin Ye5Shandong Provincial Hospital affiliated to Shandong UniversityShandong Provincial Hospital affiliated to Shandong UniversityShandong Provincial Hospital affiliated to Shandong UniversityShandong Provincial Hospital affiliated to Shandong UniversityShandong Provincial Hospital affiliated to Shandong UniversityShandong Provincial Hospital affiliated to Shandong UniversityWe aimed to identify the potential genes related to blood pressure regulation and screen target genes for high blood pressure (BPH) and low blood pressure (BPL) treatment. The GSE19817 microarray dataset, which included the aorta, liver, heart, and kidney samples from BPH, BPL, and normotensive mice, was downloaded from the Gene Expression Omnibus. Principal component analysis (PCA) was performed based on the entire expression profile. Differentially expressed genes (DEGs) were screened, followed by pathway enrichment analysis. Finally, gene regulatory networks were constructed based on BPH-related and BPL-related DEGs in the aorta, liver, heart, and kidney samples. As a result, DEGs were screened within their respective tissues due to high heterogeneity of different tissues. Totally, 2,726 BPH-related DEGs and 2,472 BPL-related DEGs were screened, which were mainly enriched in pathways such as immune response. The topology data of gene regulatory networks constructed by DEGs in the heart, kidney, and liver were similar than that in aorta. Finally, among BPH-related DEGs, Sept6 and Pigx were found in the top 10 differentially regulated DEGs by comparing the BPH-related DEGs of the aorta with the DEGs of the other 3 tissues in the regulatory network. Although among the top 10 differentially regulated BPL-related DEGs, no common differentially regulated DEGs were found, Wif1, Urb2, and Gtf2ird1 were found among the top ten DEGs in the three tissues other than the kidney tissue. Sept6 and Pigx might participate in the pathogenesis of BPH, whereas Gtf2ird1, Urb2, and Wif1 might be critical target genes for BPL treatment.http://dx.doi.org/10.1080/10641963.2017.1416120high blood pressurelow blood pressureregulatory networkdifferentially expressed genebpl-related degs |
| spellingShingle | Yanli Zhu Jingming Zhuo Chunmei Li Qian Wang Xuefei Liu Lin Ye Regulatory network analysis of hypertension and hypotension microarray data from mouse model Clinical and Experimental Hypertension high blood pressure low blood pressure regulatory network differentially expressed gene bpl-related degs |
| title | Regulatory network analysis of hypertension and hypotension microarray data from mouse model |
| title_full | Regulatory network analysis of hypertension and hypotension microarray data from mouse model |
| title_fullStr | Regulatory network analysis of hypertension and hypotension microarray data from mouse model |
| title_full_unstemmed | Regulatory network analysis of hypertension and hypotension microarray data from mouse model |
| title_short | Regulatory network analysis of hypertension and hypotension microarray data from mouse model |
| title_sort | regulatory network analysis of hypertension and hypotension microarray data from mouse model |
| topic | high blood pressure low blood pressure regulatory network differentially expressed gene bpl-related degs |
| url | http://dx.doi.org/10.1080/10641963.2017.1416120 |
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