TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14365/4
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Article Bioinformatics Based Drug Repurposing Approach for Breast and Gynecological Cancers: RECQL4/FAM13C Genes Address Common Hub Genes and Drugs(Galenos Publ House, 2025-01-02) Duran, Gizem Ayna; Duran, Assist. Prof. Dr. Gizem AynaObjective: The prevalence of breast cancer and gynaecological cancers is high, and these cancer types can occur consecutively as secondary cancers. The aim of our study is to determine the genes commonly expressed in these cancers and to identify the common hub genes and drug components. Materials and Methods: Gene intensity values of breast cancer, gynaecological cancers such as cervical, ovarian and endometrial cancers were used from the Gene Expression Omnibus database Affymetrix Human Genome U133 Plus 2.0 Array project. Using the linear modelling method included in the R LIMMA package, genes that differ between healthy individuals and cancer patients were identified. Hub genes were determined using cytoHubba in Cytoscape program. “ShinyGo 0.80” tool was used to determine the disease-specific biological KEGG pathways. Drug.MATADOR from the ShinyGo 0.80 tool was used to predict drug-target relationships. Results: The RecQ Like Helicase 4 and Family with Sequence Similarity 13 Member C genes were found to be similarly expressed in breast cancer and gynaecological cancers. Upon KEGG pathway analyses with hub genes, Drug.MATADOR analysis with hub genes related to cancer related pathways was performed. We have determined these gene/drug interactions: NBN (targeted by Hydroxyurea), EP300 (targeted by Acetylcarnitine) and MAPK14 (targeted by Salicylate and Dibutyryl cyclic AMP). Conclusion: The drugs associated with hub genes determined in our study are not routinely used in cancer treatment. Our study offers the opportunity to identify the target genes of drugs used in breast and gynaecological cancers with the drug repurposing approach.Article Citation - WoS: 1Psychometric Evaluation of the Implicit Positive and Negative Affect Test in Turkish Samples(Turkiye Sinir Ve Ruh Sagligi Dernegi, 2019) Peker, Mehmet; Mese, Gulgun; Ersoy, Nevra CemObjective: Implicit affect is a concept distinct from explicit affect as it describes the affect processed by the individual at a preconscious level. The aim of this research is to evaluate the psychometric properties of the Turkish form of the Implicit Positive and Negative Affect Test (IPANAT-TR), originally developed by Quirin et al. (2009a) to measure affect indirectly. Method: The study data comprised of psychology and sociology students from Ege University, and full-time and part-time employees from public and private organizations in Izmir. A pilot study was carried out with a group of 57 undergraduate students in order to select the artificial words to be used in the scale. Subsequently the scale was sent to a total of 938 participants, comprising 569 students and 369 employees. Test-retest reliability was assessed with 46 participants after a one-week interval and with 55 participants after a four-week interval. Results: The principal components analysis showed a clear two-factor structure for the IPANAT-TR. The internal consistency scores were 0.92 for Implicit Positive Affect (IPA) and 0.85 for Implicit Negative Affect (INA). The one-week and four-week test retest reliability estimates varied between 0.51 and 0.75. The construct validity assessments showed that the expected relationships between the IPANAT-TR and tested constructs were mostly confirmed. The results of measurement invariance analysis showed that the IPANAT-TR has full measurement invariance across employee and student samples. Conclusion: The results of the reliability, validity and measurement invariance analyses carried out in the current study demonstrated that the IPANAT-TR is a reliable and valid measurement instrument to assess implicit affect.