Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Article Magnetic Levitation-Based Determination of Single-Nuclei Density(Elsevier, 2026) Anil-Inevi, Muge; Sarigil, Oyku; Unal, Yagmur Ceren; Tekin, H. Cumhur; Mese, Gulistan; Ozcivici, EnginThe biophysical properties of cells and intracellular compartments provide critical insights into their structural and functional states, holding significant potential for biological and medical applications. Single-cell density has recently emerged as a promising biomarker in various research areas, including disease detection, making its precise measurement in biological samples an important analytical objective. Magnetic levitation offers significant advantages over traditional density detection techniques by enabling single-cell analysis rather than bulk measurements, providing precise quantification while preserving natural sample properties and eliminating the need for complex and expensive equipment. While magnetic levitation has been successfully applied to singlecell and cell-aggregate analysis, its use for subcellular compartments remains unexplored. Here, we demonstrate the first application of magnetic levitation technology for the density-based analysis of cell nuclei, a critical organelle essential for genomic preservation and organization. To accommodate the unique size and density characteristics of nuclei compared to whole cells, we systematically investigated appropriate paramagnetic agents, sample loading concentrations, and nuclear equilibrium times required for optimal levitation. We mapped density distributions of nuclei from different cell lines and conducted parallel assessments of cellular and nuclear density changes following cell cycle perturbations and treatments inducing cell death through distinct mechanisms. Our findings establish magnetic levitation as a powerful tool for subcellular density analysis, with potential applications in cell biology research and clinical diagnostics through improved understanding of subcellular physical parameters.Article Storage Protein Allergen Sensitization Patterns in Children: Insights from Multiplex Microarray Profiling and Hierarchical Clustering(Wiley, 2025) Caka, Canan; Ozcivici, Engin; Karakus, Ceyda Oksel; Sekerel, Bulent EnisBackground Storage proteins (SPs), including 2S albumins, vicilins, and legumins, are key allergenic molecules (AMs) of peanuts, tree nuts (TNs), and sesame. Their structural stability contributes to allergenicity and sensitization. This study explored SP AM clustering patterns and evaluated the test performance of multiplex microarray (MM) testing in a pediatric cohort. Methods We retrospectively analyzed 350 children (median age: 3.7 years) with detectable SP sensitizations (>= 0.1 kU(A)/L) using the ALEX(2) MM platform. Sensitization interrelationships were analyzed using correlation heatmaps, hierarchical clustering (HC), dimensionality reduction, and feature elimination. Predictive utility was assessed through ROC curve analysis at different sensitization cut-offs (>0.1 and >0.3 kU(A)/L) and total IgE thresholds (>0, >20, and >50 kU/L). Results HC identified a broad SP cluster spanning peanuts, TNs, sesame, poppy seed, and buckwheat. Strong correlations and early HC linkages suggested extensive cross-sensitization (e.g., Ana o 3-Pis v 1 and Jug r 4-Cor a 9), alongside evidence of co-sensitization and molecular spreading. Unexpected clustering of structurally dissimilar peanut and pistachio AMs pointed to shared epitopes and/or cross-contamination. 2S albumins (Ara h 2, Cor a 14, Jug r 1, Ana o 3, and Ses i 1) were most predictive for clinical reactivity. Lower cut-offs and exclusion of patients with low total IgE improved test performance. Alpha-hairpinin (Pap s 2S albumin) showed potential as specific markers. Conclusions MM testing enables detailed SP sensitization profiling. Cluster-based interpretation may clarify cross- vs. co-sensitization, supporting informed clinical decisions. Use of recombinant AMs and IgE stratification may further enhance MM utility in food allergy diagnostics.
