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• W2996837355 abstract "Abstract Introduction Major depressive disorder (MDD) is one of the most common mental disorders worldwide. The aim of this study was to identify potential pathological genes in MDD. Methods We searched and downloaded gene expression data from the Gene Expression Omnibus database to identify differentially expressed genes (DEGs) in MDD. Then, Kyoto Encyclopedia of Genes and Genomes pathway, Gene Ontology analysis, and protein‐protein interaction (PPI) network were applied to investigate the biological function of identified DEGs. The quantitative real‐time polymerase chain reaction and a published dataset were used to validate the result of bioinformatics analysis. Results A total of 514 DEGs were identified in MDD. In the PPI network, some hub genes with high degrees were identified, such as EEF2, RPL26L1, RPLP0, PRPF8, LSM3, DHX9, RSRC1, and AP2B1. The result of in vitro validation of RPL26L1, RSRC1, TOMM20L, RPLPO, PRPF8, AP2B1, STIP1, and C5orf45 was consistent with the bioinformatics analysis. Electronic validation of C5orf45, STIP1, PRPF8, AP2B1, and SLC35E1 was consistent with the bioinformatics analysis. Discussion The deregulated genes could be used as potential pathological factors of MDD. In addition, EEF2, RPL26L1, RPLP0, PRPF8, LSM3, DHX9, RSRC1, and AP2B1 might be therapeutic targets for MDD." @default.
• W2996837355 created "2020-01-10" @default.
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• W2996837355 date "2019-12-30" @default.
• W2996837355 modified "2023-09-28" @default.
• W2996837355 title "Seeking for potential pathogenic genes of major depressive disorder in the Gene Expression Omnibus database" @default.
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• W2996837355 doi "https://doi.org/10.1111/appy.12379" @default.
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