Identification of Key Genes and Pathways in Post-traumatic Stress Disorder Using Microarray Analysis
Introduction: Post-traumatic stress disorder (PTSD) is characterized by impaired fear extinction, excessive anxiety, and depression. However, the potential pathogenesis and cause of PTSD are not fully understood. Hence, the purpose of this study was to identify key genes and pathway involved in PTSD...
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doaj-2ff82489c87b4f7984b4938dfaf284782020-11-25T01:55:48ZengFrontiers Media S.A.Frontiers in Psychology1664-10782019-02-011010.3389/fpsyg.2019.00302431526Identification of Key Genes and Pathways in Post-traumatic Stress Disorder Using Microarray AnalysisYaoyao Bian0Lili Yang1Lili Yang2Min Zhao3Zhengjun Li4Yuying Xu5Guilian Zhou6Wenlin Li7Li Zeng8Li Zeng9School of Nursing, Nanjing University of Chinese Medicine, Nanjing, ChinaSchool of First Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing, ChinaJingwen Library, Nanjing University of Chinese Medicine, Nanjing, ChinaSchool of First Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing, ChinaManagement School, Lancaster University, Lancaster, United KingdomSchool of Nursing, Nanjing University of Chinese Medicine, Nanjing, ChinaSchool of Nursing, Nanjing University of Chinese Medicine, Nanjing, ChinaJingwen Library, Nanjing University of Chinese Medicine, Nanjing, ChinaSchool of First Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing, ChinaJingwen Library, Nanjing University of Chinese Medicine, Nanjing, ChinaIntroduction: Post-traumatic stress disorder (PTSD) is characterized by impaired fear extinction, excessive anxiety, and depression. However, the potential pathogenesis and cause of PTSD are not fully understood. Hence, the purpose of this study was to identify key genes and pathway involved in PTSD and reveal underlying molecular mechanisms by using bioinformatics analysis.Methods: The mRNA microarray expression profile dataset was retrieved and downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were screened using GEO2R. Gene ontology (GO) was used for gene function annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway was performed for enrichment analysis. Subsequently, protein–protein interaction (PPI) network and module analysis by the plugin MCODE were mapped by Cytoscape software. Finally, these key genes were verified in stress-exposed models by Real-Time quantitative (qRT-PCR). In addition, we performed text mining among the key genes and pathway with PTSD by using COREMINE.Results: A total of 1004 DEGs were identified. Gene functional annotations and enrichment analysis indicated that the most associated pathway was closely related to the Wnt signaling pathway. Using PPI network and module analysis, we identified a group of “seed” genes. These genes were further verified by qRT-PCR. In addition, text mining indicated that the altered CYP1A2, SYT1, and NLGN1 affecting PTSD might work via the Wnt signaling pathway.Conclusion: By using bioinformatics analysis, we identified a number of genes and relevant pathway which may represent key mechanisms associated with PTSD. However, these findings require verification in future experimental studies.https://www.frontiersin.org/article/10.3389/fpsyg.2019.00302/fullPTSDbioinformatics analysismicroarray analysiskey geneskey pathways |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yaoyao Bian Lili Yang Lili Yang Min Zhao Zhengjun Li Yuying Xu Guilian Zhou Wenlin Li Li Zeng Li Zeng |
spellingShingle |
Yaoyao Bian Lili Yang Lili Yang Min Zhao Zhengjun Li Yuying Xu Guilian Zhou Wenlin Li Li Zeng Li Zeng Identification of Key Genes and Pathways in Post-traumatic Stress Disorder Using Microarray Analysis Frontiers in Psychology PTSD bioinformatics analysis microarray analysis key genes key pathways |
author_facet |
Yaoyao Bian Lili Yang Lili Yang Min Zhao Zhengjun Li Yuying Xu Guilian Zhou Wenlin Li Li Zeng Li Zeng |
author_sort |
Yaoyao Bian |
title |
Identification of Key Genes and Pathways in Post-traumatic Stress Disorder Using Microarray Analysis |
title_short |
Identification of Key Genes and Pathways in Post-traumatic Stress Disorder Using Microarray Analysis |
title_full |
Identification of Key Genes and Pathways in Post-traumatic Stress Disorder Using Microarray Analysis |
title_fullStr |
Identification of Key Genes and Pathways in Post-traumatic Stress Disorder Using Microarray Analysis |
title_full_unstemmed |
Identification of Key Genes and Pathways in Post-traumatic Stress Disorder Using Microarray Analysis |
title_sort |
identification of key genes and pathways in post-traumatic stress disorder using microarray analysis |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Psychology |
issn |
1664-1078 |
publishDate |
2019-02-01 |
description |
Introduction: Post-traumatic stress disorder (PTSD) is characterized by impaired fear extinction, excessive anxiety, and depression. However, the potential pathogenesis and cause of PTSD are not fully understood. Hence, the purpose of this study was to identify key genes and pathway involved in PTSD and reveal underlying molecular mechanisms by using bioinformatics analysis.Methods: The mRNA microarray expression profile dataset was retrieved and downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were screened using GEO2R. Gene ontology (GO) was used for gene function annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway was performed for enrichment analysis. Subsequently, protein–protein interaction (PPI) network and module analysis by the plugin MCODE were mapped by Cytoscape software. Finally, these key genes were verified in stress-exposed models by Real-Time quantitative (qRT-PCR). In addition, we performed text mining among the key genes and pathway with PTSD by using COREMINE.Results: A total of 1004 DEGs were identified. Gene functional annotations and enrichment analysis indicated that the most associated pathway was closely related to the Wnt signaling pathway. Using PPI network and module analysis, we identified a group of “seed” genes. These genes were further verified by qRT-PCR. In addition, text mining indicated that the altered CYP1A2, SYT1, and NLGN1 affecting PTSD might work via the Wnt signaling pathway.Conclusion: By using bioinformatics analysis, we identified a number of genes and relevant pathway which may represent key mechanisms associated with PTSD. However, these findings require verification in future experimental studies. |
topic |
PTSD bioinformatics analysis microarray analysis key genes key pathways |
url |
https://www.frontiersin.org/article/10.3389/fpsyg.2019.00302/full |
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