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    Green synthesis, characterization and biological activity of silver nanoparticles From Dicranum majus Turner
    (S.C. Virtual Company of Phisics S.R.L, 2021) Yayıntaş, Özlem Tonguç; Demir, Nur; Yılmaz, Selahattin; Çiçekliyurt, Meliha Merve
    The exploitation of various plant compounds for the biosynthesis of nanoparticles is considered a green technology because it does not involve any harmful chemicals. In the current study, we synthesized and characterized silver nanoparticles from Dicranum majus (Dm) Turner, a moss plant (Bryophyte). The occurrence of the visible color change from red to brown confirmed Dm silver nanoparticles (DmAgNPs). The DmAgNPs were characterized based on Ultraviolet-Visible (UV-Vis) Spectroscopy, Fourier Transform Infrared Spectroscopy (FTIR). The morphology, size, and elemental analysis of the prepared silver nanoparticles were examined using Transmission Electron Microscope (TEM) and zeta potential (ZP). The distribution pattern of DmAgNPs particle size and stability were determined with the zeta potential analysis by zeta sizer. The maximum absorption of DmAgNPs was obtained at 422 nm by UV-Vis spectrometer. The presence of carbonyl compounds was demonstrated by FTIR, TEM. Zeta sizer analysis revealed the average size of the nanoparticles as 278.7 nm with-16.7 mV zeta potential demonstrates moderate stability. Considering its antibacterial activities, DmAgNP is more effective on Enterococcus faecalis (ATCC 29212), Listeria monocytogenes (ATCC 7644), and Proteus vulgaris (NRRL B-123) bacteria; it has no mutagenic activity; cleaved DNA as a result of gel electrophoresis; Antioxidant activity was determined by the 2,2-Diphenyl-1-picrylhydrazyl (DPPH) method.
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    Recent insights into depression from transcriptomic analysis
    (Termedia Publishing House Ltd, 2025) Günay, Melih; Çiçekliyurt, Meliha Merve
    Purpose: 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.