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Bioinformatics analysis of peripheral blood circRNAs in female patients with major depressive disorder / 中华行为医学与脑科学杂志
Article en Zh | WPRIM | ID: wpr-867139
Biblioteca responsable: WPRO
ABSTRACT
Objective:To screen the circRNAs with differential expression between female patients with major depressive disorder and healthy women, and to explore the circRNAs that might be associated with depressive disorder through bioinformatics analysis.Methods:Using high-throughput sequencing screen differentially expressed circRNAs of female major depressive disorder patients, |log 2FC|≥1 and FDR<0.05 were used to determine whether circRNA had a difference in expression.According to the miRNA sponges function of circRNA, the online databases were used to predict miRNAs which may be targeted by circRNAs, and miRNAs related target genes were also predicted by the five most different circRNA.GO and KEGG pathway enrichment analysis were used to predict biological processes for the target genes and signaling pathways.Based on the results of high-throughput sequencing, biological processes and signaling pathways related to depression, circRNAs related to depression were screened. Results:Thirteen targeted miRNAs were predicted by the five most different circRNAs(hsa_circ_0020959, hsa_circ_0005959, hsa_circ_0033064, hsa_circ_0006862, hsa_circ_0027732), and multiple biological processes and signaling pathways related to depressive disorders were predicted by the target genes, such as glucocorticoid receptor signaling pathway, interleukin-7 response, nervous system development, Wnt signaling pathway, FoxO signaling pathway, thyroid hormone signaling pathway, neurotrophin signaling pathway, and so on.Conclusion:All the 5 circRNAs enriched biological processes or signaling pathways related to depressive disorder, among which hsa_circ_0005959, hsa_circ_0033064, hsa_circ_0006862 and hsa_circ_0027732 may be more closely related to female major depressive disorder.
Texto completo: 1 Base de datos: WPRIM Idioma: Zh Revista: Chinese Journal of Behavioral Medicine and Brain Science Año: 2020 Tipo del documento: Article
Texto completo: 1 Base de datos: WPRIM Idioma: Zh Revista: Chinese Journal of Behavioral Medicine and Brain Science Año: 2020 Tipo del documento: Article