Bioengineering / Biyomühendislik
Permanent URI for this collectionhttps://hdl.handle.net/11147/4529
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Article Citation - WoS: 3Citation - Scopus: 4Biopatterning of 3d Cellular Model by Contactless Magnetic Manipulation for Cardiotoxicity Screening(Mary Ann Liebert, Inc, 2023) Önbaş, Rabia; Arslan Yıldız, AhuPatterning cells to create three-dimensional (3D) cell culture models by magnetic manipulation is a promising technique, which is rapid, simple, and cost-effective. This study introduces a new biopatterning approach based on magnetic manipulation of cells with a bioink that consists alginate, cells, and magnetic nanoparticles. Plackett-Burman and Box-Behnken experimental design models were used to optimize bioink formulation where NIH-3T3 cells were utilized as a model cell line. The patterning capability was confirmed by light microscopy through 7 days culture time. Then, biopatterned 3D cardiac structures were formed using H9c2 cardiomyocyte cells. Cellular and extracellular components, F-actin and collagen Type I, and cardiac-specific biomarkers, Troponin T and MYH6, of biopatterned 3D cardiac structures were observed successfully. Moreover, Doxorubicin (DOX)-induced cardiotoxicity was investigated for developed 3D model, and IC50 value was calculated as 8.1 μM for biopatterned 3D cardiac structures, which showed higher resistance against DOX-exposure compared to conventional two-dimensional cell culture. Hereby, developed biopatterning methodology proved to be a simple and rapid approach to fabricate 3D cardiac models, especially for drug screening applications. Copyright 2023, Mary Ann Liebert, Inc., publishers.Book Part Citation - Scopus: 2Bioprinting of Hydrogels for Tissue Engineering and Drug Screening Applications(Elsevier, 2022) Özmen, Ece; Yıldırım, Özüm; Arslan Yıldız, AhuIn tissue engineering, the 3-dimensional (3D) bioprinting method that enables the production of 3D structures by combining bioinks and cells has become one of the most promising technique. Over the last few years, 3D cell culture models gained importance in the development of disease model and drug development studies. The successful production of the 3D structures by 3D bioprinting mostly depends on the properties of the bioink to be used. Hydrogels, which are natural or synthetic polymers, are generally preferred as bioink materials with their high swelling ability, biocompatibility, biodegradability, and easy gelation ability. The convenience of hydrogels for varied bioprinting applications make them proper bioink materials for bioprinting of artificial tissues, tumor models, and tissue grafts. Bioprinting of functional tissues is successfully performed for years, and hydrogels are utilized as bioink in bone, vascular, neural, cartilage, cardiac, skin tissue engineering, and drug screening. In this chapter, bioprinting methodology, bioinks, hydrogel bioinks, and their applications are discussed in detail. © 2023 Elsevier Inc. All rights reserved.Book Part Citation - Scopus: 3Tissue Engineering Applications of Marine-Based Materials(Springer, 2022) Polat, Hürriyet; Zeybek, Nuket; Polat, MehmetTissue engineering is a promising approach in replacing or improving tissues lost or has become nonviable due to disease or trauma by the use of scaffold materials by combining engineering and biochemical/physicochemical methods. Its purpose is to create suitable matrices that support cell differentiation and proliferation toward the formation of new and functional tissue. Marine-based natural compounds are potential scaffold feedstock material in tissue engineering owing to their biocompatibility and biodegradability while providing excellent biochemical/physicochemical properties. Numerous application areas and various fabrication routes techniques described in the literature attest to the importance of these materials in tissue regeneration. This review has been carried to merge the information from a large number of studies on the marine-based scaffold materials in tissue engineering into a coherent summary. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.Article Citation - WoS: 1Citation - Scopus: 1Exploring the Heterogeneity of Ige-Mediated Food Allergy Through Latent Class Analysis(S. Karger AG, 2022) Akarsu, Ayşegül; Öksel Karakuş, Ceyda; Ocak, Melike; Oral, Nihan; Bilgi, Eyüp; Şahiner, Ümit Murat; Soyer, Özge; Şekerel, Bülent EnisIntroduction: Food allergy (FA) is a heterogeneous disease with multiple morbidities and a huge burden for patients and healthcare systems. Variable manifestations, comorbidities (atopic dermatitis [AD], asthma, and/or allergic rhinitis [AR]), severity (anaphylaxis), and outcomes suggest the existence of different endotypes that cluster analyses may reveal. In this study, we aimed to investigate distinct subgroups among patients with FAs using data from 524 children/adolescents. Methods: 524 patients with IgE-mediated FA (353 male [67%]; median age 4.4 years [IQR:3.0-6.8]), 354 (68%) had multiple FA. The history of AD, asthma, AR, and anaphylaxis was recorded in 59.4%, 35.5%, 24.2%, and 51.2% of the patients, respectively. Latent class analysis was carried out to distinguish clinical FA phenotypes using five potential markers of allergy severity (single/multiple FA, never/inactive/current asthma and AD, AR, and anaphylaxis). Results: Three distinct phenotypes were identified: (1) multiple FA with eczema and respiratory multimorbidity (42%), (2) multiple FA with persistent eczema (34%), and (3) single FA with respiratory multimorbidity without eczema (24%). Compared with the single FA cluster, the prevalence of AD was significantly higher in multiple FA groups. Cluster 1 had the highest frequency of AR and allergic asthma, and the lowest rate of total tolerance of FA. Discussion: We put forward the hypothesis of underlying pathogenesis according to the clinical phenotypes. While skin barrier defect may play a dominant role in the pathogenesis in Cluster 2, immune dysregulation may be dominant in Cluster 3. In Cluster 1, the most severe group, a combination of both skin barrier defects and immune dysregulation may be responsible for the clinical features.Book Part Noncoding Way of the Metastasis(Elsevier, 2022) Göker Bağca, Bakiye; Kuşoğlu, Alican; Çeşmeli, Selin; Biray Avcı, ÇığırAccording to the World Health Organization statistics, the second leading cause of death globally is cancer. Together with this, metastasis is viewed as the leading cause of cancer death in patients with the disease due to the lack of treatment modalities for malignant tumors. One of the key mechanisms related to cancer metastasis is the epithelial-mesenchymal transition which enables epithelial cancer cells to gain mesenchymal cancer cell properties with elevated migration and invasion capacity that make it easy to spread distant tissues and survive from harsh conditions. Studies indicate that metastatic cancer cells have a gene expression signature that ensures those cells have increased migratory capacity as well as increased survival rate in circulation. Recently, the relationship of metastasis with two types of noncoding RNAs (ncRNAs), microRNAs (miRNAs), and long noncoding RNAs (lncRNAs) has been getting attention. In this chapter, the role of miRNAs and lncRNAs and treatment strategies regarding the role of ncRNAs in metastasis biology will be evaluated.Conference Object Size-Based Microparticle Seperation Using Negative Magnetophoresis(Chemical and Biological Microsystems Society, 2021) Solmaz Özçelik, Özge; Öksüz, Cemre; Tekin, Hüseyin CumhurWe present a new size-based microparticle separation device using negative magnetophoresis. Microparticles spiked in the paramagnetic medium were filtered with respect to their sizes in a microfluidic channel placed between two magnets. Negative magnetophoresis allows large microparticles to be captured before the magnets, while small microparticles pass through the magnets under a constant flow. With this method, we reached 84.2% capturing efficiency of large microparticles (44 µm diameter) and capturing purity of 80.3% in the presence of small microparticles (17 µm diameter) at 3 µL/min flow rate. The capturing purity could further improve up to 99% by increasing the flow rate.Article Citation - WoS: 1Citation - Scopus: 1Viability of 3t3-L1 Preadipocytes Is Modulated by the Applied Frequency but Not the Exposure Duration of Low Intensity Vibratory Stimulation(World Scientific Publishing, 2022) Baskan, Öznur; Özçivici, EnginMechanical forces are the integral determinants in cell and tissue homeostasis and regeneration, and they can affect numerous biological process from proliferation to fate determination. Mechanical forces that possess low magnitude and high frequency characteristics are also known as low intensity vibrations (LIVs). These signals were studied widely on many cell types for regenerative purposes, however most of these studies select components of LIV signals (e.g., magnitude, frequency, duration, etc.) arbitrarily. Here, we addressed the effect of LIV applied frequency, LIV daily exposure time and fate induction on the viability of preadipocyte 3T3-L1 cells. For this, we performed a frequency sweep that was ranging from 30Hz to 120Hz with 15Hz increments applied for 5, 10 or 20min during quiescent growth or adipogenesis for up to 10 days. Results suggest that the applied frequency and fate induction was an important determinant of cell viability while daily exposure time had no effect. These findings contribute to the effort of optimizing a relevant mechanical stimulus that can inhibit adipogenesis.Conference Object Citation - Scopus: 2Label-Free Detection of Rare Cancer Cells Using Deep Learning and Magnetic Levitation Principle(SPIE, 2021) Delikoyun, Kerem; Demir, Ali Aslan; Tekin, Hüseyin CumhurMagnetic levitation is an effective tool for separating target cells within a heterogeneous solution by utilizing density differences among cell lines. However, magnetic levitation cannot be used to identify target cells which have similar density profile as the other cells in the solution. Therefore, accuracy of cell identification can dramatically reduce. In this study, we introduce, for the first time, the use of deep learning-based object detection approach for label-free identification of rare cancer cells within levitated cells. As a result, our novel and hybrid detection strategy could be used to identify circulating tumor cells for diagnosis and prognosis of cancer. © 2021 SPIE.Article Citation - WoS: 3Citation - Scopus: 4Applicability of Low-Intensity Vibrations as a Regulatory Factor on Stem and Progenitor Cell Populations(Bentham Science Publishers, 2020) Baskan, Öznur; Karadaş, Özge; Meşe, Gülistan; Özçivici, EnginPersistent and transient mechanical loads can act as biological signals on all levels of an organism. It is therefore not surprising that most cell types can sense and respond to mechanical loads, similar to their interaction with biochemical and electrical signals. The presence or absence of mechanical forces can be an important determinant of form, function and health of many tissue types. Along with naturally occurring mechanical loads, it is possible to manipulate and apply external physical loads on tissues in biomedical sciences, either for prevention or treatment of catabolism related to many factors, including aging, paralysis, sedentary lifestyles and spaceflight. Mechanical loads consist of many components in their applied signal form such as magnitude, frequency, duration and intervals. Even though high magnitude mechanical loads with low frequencies (e.g. running or weight lifting) induce anabolism in musculoskeletal tissues, their applicability as anabolic agents is limited because of the required compliance and physical health of the target population. On the other hand, it is possible to use low magnitude and high frequency (e.g. in a vibratory form) mechanical loads for anabolism as well. Cells, including stem cells of the musculoskeletal tissue, are sensitive to high frequency, low-intensity mechanical signals. This sensitivity can be utilized not only for the targeted treatment of tissues, but also for stem cell expansion, differentiation and biomaterial interaction in tissue engineering applications. In this review, we reported recent advances in the application of low-intensity vibrations on stem and progenitor cell populations. Modulation of cellular behavior with low-intensity vibrations as an alternative or complementary factor to biochemical and scaffold induced signals may represent an increase of capabilities in studies related to tissue engineering.Conference Object Deep Convolutional Neural Networks for Viability Analysis Directly From Cell Holograms Captured Using Lensless Holographic Microscopy(The Chemical and Biological Microsystems Society (CBMS), 2019) Delikoyun, Kerem; Çine, Ersin; Anıl İnevi, Müge; Özçivici, Engin; Özuysal, Mustafa; Tekin, Hüseyin CumhurCell viability analysis is one of the most widely used protocols in the fields of biomedical sciences. Traditional methods are prone to human error and require high-cost and bulky instrumentations. Lensless digital inline holographic microscopy (LDIHM) offers low-cost and high resolution imaging. However, recorded holograms should be digitally reconstructed to obtain real images, which requires intense computational work. We introduce a deep transfer learning-based cell viability classification method that directly processes the hologram without reconstruction. This new model is only trained once and viability of each cell can be predicted from its hologram. © 2019 CBMS-0001.