Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik
Permanent URI for this collectionhttps://hdl.handle.net/11147/9
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Book Part Citation - Scopus: 1Automated Analysis of Phase-Contrast Optical Microscopy Time-Lapse Images: Application To Wound Healing and Cell Motility Assays of Breast Cancer(Elsevier, 2023) Erdem, Yusuf Sait; Ayanzadeh, Aydın; Mayalı, Berkay; Balıkçı, Muhammed; Belli, Özge Nur; Uçar, Mahmut; Yalçın Özuysal, Özden; Pesen Okvur, Devrim; Önal, Sevgi; Morani, Kenan; Iheme, Leonardo Obinna; Töreyin, Behçet UğurThis chapter describes a workflow for analyzing phase-contrast microscopy (PCM) data from two fundamental types of biomedical assays: assays for cell motility and assays for wound healing. The workflow of the analysis is composed of the methods for acquiring, restoring, segmenting, and quantifying biomedical data. In the literature, there have been separate methods aimed at specific stages of PCM data analysis. Nonetheless, there has never been a complete workflow for all stages of analysis. This work is an innovation that proposes an end-to-end workflow for image pre-processing, deep learning segmentation, tracking, and quantification stages in cell motility and wound healing assay analyses. The findings indicate that domain knowledge can be used to make simple but significant improvements to the results of cutting-edge methods. Furthermore, even for deep learning-based methods, pre-processing is clearly a necessary step in the workflow. © 2023 Elsevier Inc. All rights reserved.Article Citation - WoS: 2Citation - Scopus: 2Plasmonic Functional Assay Platform Determines the Therapeutic Profile of Cancer Cells(American Chemical Society, 2023) Çetin, Arif E.; Topkaya, Seda Nur; Yazıcı, Ziya Ata; Yalçın Özuysal, ÖzdenFunctional assay platforms could identify the biophysicalpropertiesof cells and their therapeutic response to drug treatments. Despitetheir strong ability to assess cellular pathways, functional assaysrequire large tissue samples, long-term cell culture, and bulk measurements.Even though such a drawback is still valid, these limitations didnot hinder the interest in these platforms for their capacity to revealdrug susceptibility. Some of the limitations could be overcome withsingle-cell functional assays by identifying subpopulations usingsmall sample volumes. Along this direction, in this article, we developeda high-throughput plasmonic functional assay platform to identifythe growth profile of cells and their therapeutic profile under therapiesusing mass and growth rate statistics of individual cells. Our technologycould determine populations' growth profiles using the growthrate data of multiple single cells of the same population. Evaluatingspectral variations based on the plasmonic diffraction field intensityimages in real time, we could simultaneously monitor the mass changefor the cells within the field of view of a camera with the capacityof > & SIM;500 cells/h scanning rate. Our technology could determinethe therapeutic profile of cells under cancer drugs within few hours,while the classical techniques require days to show reduction in viabilitydue to antitumor effects. The platform could reveal the heterogeneitywithin the therapeutic profile of populations and determine subpopulationsshowing resistance to drug therapies. As a proof-of-principle demonstration,we studied the growth profile of MCF-7 cells and their therapeuticbehavior to standard-of-care drugs that have antitumor effects asshown in the literature, including difluoromethylornithine (DFMO),5-fluorouracil (5-FU), paclitaxel (PTX), and doxorubicin (Dox). Wesuccessfully demonstrated the resistant behavior of an MCF-7 variantthat could survive in the presence of DFMO. More importantly, we couldprecisely identify synergic and antagonistic effects of drug combinationsbased on the order of use in cancer therapy. Rapidly assessing thetherapeutic profile of cancer cells, our plasmonic functional assayplatform could be used to reveal personalized drug therapies for cancerpatients.Article Citation - WoS: 22Citation - Scopus: 24Scaffold-Free Biofabrication of Adipocyte Structures With Magnetic Levitation(John Wiley and Sons Inc., 2021) Sarıgil, Öykü; Yalçın Özuysal, Özden; Anıl İnevi, Müge; Meşe Özçivici, Gülistan; Fıratlıgil Yıldırır, Burcu; Fıratlıgil Yıldırır, Burcu; Ünal, Yağmur Ceren; Ünal, Yağmur Ceren; Yalçın Özuysal, Özden; Özçivici, Engin; Meşe, Gülistan; Sarıgil, Öykü; Özçivici, Engin; Anıl İnevi, Müge; Meşe Özçivici, GülistanTissue engineering research aims to repair the form and/or function of impaired tissues. Tissue engineering studies mostly rely on scaffold-based techniques. However, these techniques have certain challenges, such as the selection of proper scaffold material, including mechanical properties, sterilization, and fabrication processes. As an alternative, we propose a novel scaffold-free adipose tissue biofabrication technique based on magnetic levitation. In this study, a label-free magnetic levitation technique was used to form three-dimensional (3D) scaffold-free adipocyte structures with various fabrication strategies in a microcapillary-based setup. Adipogenic-differentiated 7F2 cells and growth D1 ORL UVA stem cells were used as model cells. The morphological properties of the 3D structures of single and cocultured cells were analyzed. The developed procedure leads to the formation of different patterns of single and cocultured adipocytes without a scaffold. Our results indicated that adipocytes formed loose structures while growth cells were tightly packed during 3D culture in the magnetic levitation platform. This system has potential for ex vivo modeling of adipose tissue for drug testing and transplantation applications for cell therapy in soft tissue damage. Also, it will be possible to extend this technique to other cell and tissue types.