Recent insights into depression from transcriptomic analysis

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dc.authoridGUNAY, Melih/0000-0003-0336-3010
dc.contributor.authorGunay, Melih
dc.contributor.authorCicekliyurt, Meliha M.
dc.date.accessioned2025-05-29T02:57:20Z
dc.date.available2025-05-29T02:57:20Z
dc.date.issued2025
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractPurpose: Depression is a widespread mood disorder with a high rate of relapse and chronicity that can be affected by gender, and caused by traumatic or stressful events. Transcriptome analysis measures gene expression heterogeneity in cells, tissues, organs, and the whole body. The purpose of the study was to investigate both gender-specific and tissue-specific variations in gene expression regarding depression based on transcriptomic analysis using RNA-Seq data. Methods: The depression datasets GSE190518 and GSE214921 were downloaded from the Gene Expression Omnibus database provided by the NCBI. The GSE190518 datasets include peripheral blood samples (4 patients, 4 healthy controls), and the GSE214921 datasets contain human postmortem orbitofrontal cortex bulk tissue (20 patients, 19 healthy controls). All datasets were analyzed separately with the DESeq2 package in R. Later, GO and KEGG enrichment analyses of differentially expressed genes were performed using the clusterProfiler package in R. Results: Our results reveal that depression stimulates genes linked to the immune system, which is a common denominator in both brain tissue and blood samples. Overall, tissue-specific factors contribute to the association between depression and the immune system via distinct genes. Furthermore, gene ontology analyses revealed that HSPA6, HSPA7, HSPA1L, HSPA1A, and HSPA1B genes are co-represented in different pathways involved in molecular function, biological processes, and cellular components. Conclusions: Comparative transcriptomic evidence supports the immune hypothesis of depression in different tissue samples. Gender-specific depression may be triggered by protein misfolding.
dc.identifier.doi10.5114/ppn.2025.149873
dc.identifier.endpage10
dc.identifier.issn1230-2813
dc.identifier.issue1
dc.identifier.pmid40376285
dc.identifier.scopus2-s2.0-105003920035
dc.identifier.scopusqualityQ4
dc.identifier.startpage1
dc.identifier.urihttps://doi.org/10.5114/ppn.2025.149873
dc.identifier.urihttps://hdl.handle.net/20.500.12428/30009
dc.identifier.volume34
dc.identifier.wosWOS:001482964100001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherTermedia Publishing House Ltd
dc.relation.ispartofPostepy Psychiatrii I Neurologii
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250529
dc.subjectmajor depressive disorder
dc.subjectcomparative transcriptome
dc.subjectGEO database
dc.subjectheat shock protein
dc.subjectRNA-Seq.
dc.titleRecent insights into depression from transcriptomic analysis
dc.typeArticle

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