Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data
Pituitary adenomas, monoclonal in origin, are the most common intracranial neoplasms. Altered gene expression as well as somatic mutations is detected frequently in pituitary adenomas. The purpose of this study was to detect differentially expressed genes (DEGs) and biological processes during tumor...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | International Journal of Endocrinology |
| Online Access: | http://dx.doi.org/10.1155/2015/164087 |
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| author | Peng Zhao Wei Hu Hongyun Wang Shengyuan Yu Chuzhong Li Jiwei Bai Songbai Gui Yazhuo Zhang |
| author_facet | Peng Zhao Wei Hu Hongyun Wang Shengyuan Yu Chuzhong Li Jiwei Bai Songbai Gui Yazhuo Zhang |
| author_sort | Peng Zhao |
| collection | DOAJ |
| description | Pituitary adenomas, monoclonal in origin, are the most common intracranial neoplasms. Altered gene expression as well as somatic mutations is detected frequently in pituitary adenomas. The purpose of this study was to detect differentially expressed genes (DEGs) and biological processes during tumor formation of pituitary adenomas. We performed an integrated analysis of publicly available GEO datasets of pituitary adenomas to identify DEGs between pituitary adenomas and normal control (NC) tissues. Gene function analysis including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and protein-protein interaction (PPI) networks analysis was conducted to interpret the biological role of those DEGs. In this study we detected 3994 DEGs (2043 upregulated and 1951 downregulated) in pituitary adenoma through an integrated analysis of 5 different microarray datasets. Gene function analysis revealed that the functions of those DEGs were highly correlated with the development of pituitary adenoma.
This integrated analysis of microarray data identified some genes and pathways associated with pituitary adenoma, which may help to understand the pathology underlying pituitary adenoma and contribute to the successful identification of therapeutic targets for pituitary adenoma. |
| format | Article |
| id | doaj-art-0c1f3e64b5c847219a6d8a1c5b968c7f |
| institution | Kabale University |
| issn | 1687-8337 1687-8345 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Endocrinology |
| spelling | doaj-art-0c1f3e64b5c847219a6d8a1c5b968c7f2025-02-03T01:22:38ZengWileyInternational Journal of Endocrinology1687-83371687-83452015-01-01201510.1155/2015/164087164087Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray DataPeng Zhao0Wei Hu1Hongyun Wang2Shengyuan Yu3Chuzhong Li4Jiwei Bai5Songbai Gui6Yazhuo Zhang7Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaDepartment of Cardiology, Beijing Chuiyangliu Hospital, Beijing, ChinaBeijing Neurosurgical Institute, Center of Brain Tumor, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, ChinaBeijing Neurosurgical Institute, Center of Brain Tumor, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, ChinaBeijing Neurosurgical Institute, Center of Brain Tumor, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaBeijing Neurosurgical Institute, Center of Brain Tumor, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, ChinaPituitary adenomas, monoclonal in origin, are the most common intracranial neoplasms. Altered gene expression as well as somatic mutations is detected frequently in pituitary adenomas. The purpose of this study was to detect differentially expressed genes (DEGs) and biological processes during tumor formation of pituitary adenomas. We performed an integrated analysis of publicly available GEO datasets of pituitary adenomas to identify DEGs between pituitary adenomas and normal control (NC) tissues. Gene function analysis including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and protein-protein interaction (PPI) networks analysis was conducted to interpret the biological role of those DEGs. In this study we detected 3994 DEGs (2043 upregulated and 1951 downregulated) in pituitary adenoma through an integrated analysis of 5 different microarray datasets. Gene function analysis revealed that the functions of those DEGs were highly correlated with the development of pituitary adenoma. This integrated analysis of microarray data identified some genes and pathways associated with pituitary adenoma, which may help to understand the pathology underlying pituitary adenoma and contribute to the successful identification of therapeutic targets for pituitary adenoma.http://dx.doi.org/10.1155/2015/164087 |
| spellingShingle | Peng Zhao Wei Hu Hongyun Wang Shengyuan Yu Chuzhong Li Jiwei Bai Songbai Gui Yazhuo Zhang Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data International Journal of Endocrinology |
| title | Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data |
| title_full | Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data |
| title_fullStr | Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data |
| title_full_unstemmed | Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data |
| title_short | Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data |
| title_sort | identification of differentially expressed genes in pituitary adenomas by integrating analysis of microarray data |
| url | http://dx.doi.org/10.1155/2015/164087 |
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