Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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Author: search.filters.author.Winkler, David A.Has files: Yes

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  • Article
    Proliferative Effects and Cellular Uptake of Ceramic Nanoparticles in Cancer and Normal Cells
    (Univ Chemistry & Technology, Prague, 2024) Cesmeli, Selin; Tomak, Aysel; Winkler, David A.; Karakus, Ceyda Oksel
    The high biocompatibility, wear resistance, and high surface area-to-volume ratios of calcium phosphate (CaP) nanoparticles make them materials of great interest for a very broad range of medical applications, such as dentistry, drug delivery, biomedical imaging, gene transfection and silencing, biomedical imaging, immunisation, and bone substitution. While their use as an enamel remineralisation agent, a bone substitution material, an implant coating, and drug/gene delivery agents is widely approved by the regulating bodies, insufficient attention has been paid to the interactions of CaP-based nanoparticles with cells and organs once in the bloodstream and distributed through the body. Here, three different CaP-based nanoparticles (CP: calcium phosphate, TCP: tricalcium phosphate, and HAp: hydroxyapatite) were examined for the proliferative effects, oxidative damage potential, and cellular uptake in the human embryonic kidney (HEK293) and pancreatic cancer (Panc-1) cell lines. The physicochemical properties of the nanoparticles were characterised by Teller analysis, and X-ray diffraction spectroscopy. Maximum proliferative effects were generated by 400 mu g center dot ml-1 TCP (220 %) in HEK293 cells. Interestingly, although CP nanoparticles had the highest reactive oxygen species formation capacity in the HEK293 cells, they exhibited the lowest proliferative effects and a relatively low internalisation rate, suggesting a minimal correlation between the cellular uptake level and oxidative potential.
  • Article
    Citation - WoS: 5
    Citation - Scopus: 4
    Identifying Factors Controlling Cellular Uptake of Gold Nanoparticles by Machine Learning
    (TAYLOR & FRANCIS LTD, 2023) Bilgi, Eyüp; Winkler, David A.; Öksel Karakuş, Ceyda
    There is strong interest to improve the therapeutic potential of gold nanoparticles (GNPs) while ensuring their safe development. The utility of GNPs in medicine requires a molecular-level understanding of how GNPs interact with biological systems. Despite considerable research efforts devoted to monitoring the internalisation of GNPs, there is still insufficient understanding of the factors responsible for the variability in GNP uptake in different cell types. Data-driven models are useful for identifying the sources of this variability. Here, we trained multiple machine learning models on 2077 data points for 193 individual nanoparticles from 59 independent studies to predict cellular uptake level of GNPs and compared different algorithms for their efficacies of prediction. The five ensemble learners (Xgboost, random forest, bootstrap aggregation, gradient boosting, light gradient boosting machine) made the best predictions of GNP uptake, accounting for 80-90% of the variance in the test data. The models identified particle size, zeta potential, GNP concentration and exposure duration as the most important drivers of cellular uptake. We expect this proof-of-concept study will foster the more effective use of accumulated cellular uptake data for GNPs and minimise any methodological bias in individual studies that may lead to under- or over-estimation of cellular internalisation rates.
  • Article
    Citation - WoS: 10
    Citation - Scopus: 13
    Overcoming Roadblocks in Computational Roadmaps To the Future for Safe Nanotechnology
    (IOP Publishing, 2021) Öksel Karakuş, Ceyda; Winkler, David A.
    The rapid rise of nanotechnology has resulted in a parallel rise in the number of products containing nanomaterials. The unusual properties that nano forms of materials exhibit relative to the bulk has driven intense research interest and relatively rapid adoption by industry. Regulatory agencies are charged with protecting workers, the public, and the environment from any adverse effects of nanomaterials that may also arise because of these novel physical and chemical properties. They need data and models that allow them to flag nanomaterials that may be of concern, while balancing potential stifling of commercial innovation. Roadmaps for the future of safe nanotechnology were defined more than a decade ago, but many roadblocks identified in these studies remain. Here, we discuss the roadblocks that are still hindering the effective application of informatics and predictive computational nanotoxicology methods from providing more effective guidance to nanomaterials regulatory agencies and safe-by-design rationale for industry. We describe how developments in high throughput synthesis, characterization, and biological assessment of nanomaterials will overcome many of these roadblocks, allowing a clearly defined roadmap for computational design of effective but safe-by-design nanomaterials to be realized.