Bioengineering / Biyomühendislik
Permanent URI for this collectionhttps://hdl.handle.net/11147/4529
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Article Citation - WoS: 13Citation - Scopus: 17Machine Learning-Assisted Prediction of the Toxicity of Silver Nanoparticles: a Meta-Analysis(Springer, 2023) Bilgi, Eyüp; Öksel Karakuş, CeydaSilver nanoparticles are likely to be more dangerous than other forms of silver due to the intracellular release of silver ions upon dissolution and the formation of mixed ion-containing complexes. Such concerns have resulted in an ever-growing pile of scientific evaluations addressing the safety aspects of nanosilver with widely varying methodological approaches. The substantial differences in the conduct/design of nanotoxicity screening have led to the generation of conflicting findings that may be accurate in their narrative but fail to provide a complete picture. One strategy to maximize the use of individual risk assessments with potentially biased estimates of toxicological effects is to homogenize results across several studies and to increase the generalizability and human relevance of their findings. Here, we collected a large pool of data (n=162 independent studies) on the cytotoxicity of nanosilver and unrevealed potential triggers of toxicity. Two different machine learning approaches, decision tree (DT) and artificial neural network (ANN), were primarily employed to develop models that can predict the cytotoxic potential of nanosilver based on material- and assay-related parameters. Other machine learning algorithms (logistic regression, Gaussian Naive Bayes, k-nearest neighbor, and random forest classifiers) were also applied. Among several attributes compared, exposure concentration, duration, zeta potential, particle size, and coating were found to have the most substantial impact on nanotoxicity, with biomolecule- and microorganism-assisted surface modifications having the most beneficial and detrimental effects on cell survival, respectively. Such machine learning-assisted efforts are critical to developing commercially viable and safe nanosilver-containing products in the ever-expanding nanobiomaterial market.Article Citation - WoS: 6Citation - Scopus: 6Diagnosis of Ruminant Viral Diseases With Loop-Mediated Isothermal Amplification(Springer, 2023) Ayaz Kök, Sanem; Üstün, Selcen; Taşkent, HümeyraInfectious diseases in livestock industry are major problems for animal health, food safety, and the economy. Zoonotic diseases from farm animals are significant threat to human population as well. These are notifiable diseases listed by the World Organization for Animal Health (OIE). Rapid diagnostic methods can help keep infectious diseases under control in herds. Loop-mediated isothermal amplification (LAMP) is a simple and rapid nucleic acid amplification method that is studied widely for detection of many infectious diseases in the field. LAMP allows biosensing of target DNA or RNA under isothermal conditions with high specificity in a short period of time. An untrained user can analyze results based on color change or turbidity. Here we review LAMP assays to diagnose OIE notifiable ruminant viral diseases in literature highlighting properties of LAMP method considering what is expected from an efficient, field usable diagnostic test.Article Citation - WoS: 9Citation - Scopus: 9Development of an Improved Amplex Red Peroxidation Activity Assay for Screening Cytochrome P450 Variants and Identification of a Novel Mutant of the Thermophilic Cyp119(Springer, 2020) Başlar, M. Semih; Sakallı, Tuğçe; Güralp, Gülce; Kestevur Doğru, Ekin; Haklı, Emre; Sürmeli, Nur BaşakBiocatalysts are increasingly utilized in the synthesis of drugs and agrochemicals as an alternative to chemical catalysis. They are preferred in the synthesis of enantiopure products due to their high regioselectivity and enantioselectivity. Cytochrome P450 (P450) oxygenases are valuable biocatalysts, since they catalyze the oxidation of carbon-hydrogen bonds with high efficiency and selectivity. However, practical use of P450s is limited due to their need for expensive cofactors and electron transport partners. P450s can employ hydrogen peroxide (H2O2) as an oxygen and electron donor, but the reaction with H(2)O(2)is inefficient. The development of P450s that can use H(2)O(2)will expand their applications. Here, an assay that utilizes Amplex Red peroxidation, to rapidly screen H2O2-dependent activity of P450 mutants in cell lysate was developed. This assay was employed to identify mutants of CYP119, a thermophilic P450 fromSulfolobus acidocaldarius, with increased peroxidation activity. A mutant library of CYP119 containing substitutions in the heme active site was constructed via combinatorial active-site saturation test and screened for improved activity. Screening of 158 colonies led to five mutants with higher activity. Among improved variants, T213R/T214I was characterized. T213R/T214I exhibited fivefold higherk(cat)for Amplex Red peroxidation and twofold higherk(cat)for styrene epoxidation. T213R/T214I showed higher stability towards heme degradation by H2O2. While theK(m)for H(2)O(2)and styrene were not altered by the mutation, a fourfold decrease in the affinity for another substrate, lauric acid, was observed. In conclusion, Amplex Red peroxidation screening of CYP119 mutants yielded enzymes with increased peroxide-dependent activity. [GRAPHICS] .Article Citation - WoS: 14Citation - Scopus: 15Development and Verification of a Three-Dimensional (3d) Breast Cancer Tumor Model Composed of Circulating Tumor Cell (ctc) Subsets(Springer, 2020) Anıl İnevi, Müge; Sağlam Metiner, Pelin; Kabak, Evrim Ceren; Gülce İz, SultanBreast cancer is one of the most common cancer types among women in which early tumor invasion leads to metastases and death. EpCAM (epithelial cellular adhesion molecule) and HER2 (human epidermal growth factor receptor 2) are two main circulating tumor cell (CTC) subsets in HER2+ breast cancer patients. In this regard, the main aim of this study is to develop and characterize a three-dimensional (3D) breast cancer tumor model composed of CTC subsets to evaluate new therapeutic strategies and drugs. For this reason, EpCAM(+) and HER2(+) sub-populations were isolated from different cell lines to establish 3D tumor model that mimics in situ (in vivo) more closely than two-dimensional (2D) models. EpCAM(+)/HER2(+) cells had a high proliferation rate and low tendency to attach to the surface in comparison with parental MDA-MB-453 cells as CTC subsets. Aggressive breast cancer subpopulations cultured in 3D porous chitosan scaffold had enhanced cell-cell and cell-matrix interactions compared to 2D cultured cells and these 3D models showed more aggressive morphology and behavior, expressed higher levels of pluripotency marker genes, Nanog, Sox2 and Oct4. For the verification of the 3D model, the effects of doxorubicin which is a chemotherapeutic agent used in breast cancer treatment were examined and increased drug resistance was determined in 3D cultures. The 3D tumor model comprising EpCAM(+)/HER2(+) CTC subsets developed in this study has a promising potential to be used for investigation of an aggressive CTC microenvironment in vitro that mimics in vivo characteristics to test new drug candidates against CTCs.