Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik

Permanent URI for this collectionhttps://hdl.handle.net/11147/9

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Now showing 1 - 10 of 28
  • Review
    A review on the removal of viruses by adsorption
    (Gazi University, 2023) Eren, Muhammet Şakir Abdullah; Tanaydın, Elif Sila; Arslanoğlu, Hasan; Çiftçi, Harun
    The potential dangers of Covid-19 (SARS-CoV-2 Infection), which spread to almost all countries from Wuhan, China's Hubei province in 2020, have been the focus of attention of scientists worldwide Serious impact processes of Covid-19, ranging from pneumonia to severe acute respiratory infections and from kidney failure to death, continue to threaten millions of people. Isolation of pandemic species is of great importance for the development of appropriate treatment protocols in emerging viral infections. For this, it is necessary to develop existing methods as well as new methods. Viruses do not exist in living form in nature and they need other creatures to transfer their genetic material. In this respect, water resources and air appear as the most important means of transmission. Adsorption processes for the transmission means can be applied to prevent the spread of viruses and to inactivate them. In this review, the interactions of viruses with various adsorbents containing carbonaceous, oxidized, porous anf metal organic framework materials were examined. Electrostatic interactions were found to be more effective in target types of adsorbing processes of adsorbents used in water and air purification. Since the virus surface carries various organic functional groups, it is seen that it will interact with different adsorbents electrostatic and in this way they can be removed and both isolated and rendered ineffective. We think that our study will contribute to effective solutions to prevent the spread of other pathogens, including coronaviruses, by adsorption processes to be applied to air and water sources and to disinfect the specified transmission means.
  • Article
    Assessment of Undergraduate Health Students' Perception and Satisfaction on Training and Participation in Community Health Outreach
    (Springer, 2023) Adegbore, Abidemi Kafayat; Adedokun, Amudatu Ambali; Adegoke, Juliet Ifeoluwa; Lawal, Maruf Ayobami; Oke, Muse
    AimThe need to improve training of health professionals has increased in recent years due to increasing frequencies of public health events. Consequently, a descriptive cross-sectional survey was carried out to determine the level of satisfaction and knowledge acquired by undergraduate students in the health sciences during a community health outreach program.Subject and methodsStudents were invited to complete an online-administered questionnaire (consisting of both open- and closed-ended questions) to assess their perceptions and experiences on the community health outreach program. Additionally, the survey was carried out to assess the quality of training provided and obtain suggestions for further improvements. Responses were collected and analysed using Microsoft Excel.ResultsMost respondents (>83%) reported satisfaction with the community diagnosis and community intervention briefing and training sessions. All respondents reported familiarity with standard community health outreach instruments and were capable of identifying environmental health risk factors that may contribute to the spread of communicable diseases. Interestingly, respondents reported greater appreciation of health challenges faced by rural communities. However, respondents expressed dissatisfaction with the duration of the outreach program (24%) and funding (15%).ConclusionAlthough respondents reported overall satisfaction with the organization and execution of the health outreach program, certain aspects of the program were deemed unsatisfactory. Despite the shortcomings, we believe that our student-centred learning strategy is readily adaptable for training future healthcare professionals and improving health literacy of rural communities, particularly in sub-Saharan Africa.
  • Article
    Citation - WoS: 139
    Granulocytic Sarcoma: a Systematic Review
    (e-Century Publishing Corporation, 2013) Yılmaz, Asu Fergün; Saydam, Güray; Şahin, Fahri; Baran, Yusuf
    Granulocytic sarcoma also called myeloid sarcoma is an extramedullary tumor of immature granulocytic cells. It is a rare entity, and mostly accompanied by acute myeloid leukemia. It is observed during the course of myeloproliferative disorders especially in chronic myeloid leukemia and myelodysplastic syndromes. In some rare circumstances, it is detected before clinical signs of leukemia or other diseases. When the bone marrow biopsy reveals no other hematologic malignancies, the granulocytic sarcoma is described as nonleukemic, primary or isolated. It is observed at any part of the body but the most common locations are soft tissues, bone, peritoneum and lymph nodes. Presenting signs or symptoms are mainly due to mass effect of the tumor and dysfunction of the organ, or the tissue that is affected. The diagnosis is performed by biopsy of the tumor. The tumor consists of immature granulocytic cells, which could be documented by H&E, immunohistochemistry, and flow cytometric methods. Fluorescence in-situ hybridization and molecular analysis are also performed. The optimal time and type of treatment is not clear. Surgery could be an option especially for tumors, which cause organ dysfunction and/or obstruction. Systemic treatment should be considered in all patients because without systemic treatment, relapses and progression to acute myeloid leukemia is the ultimate fate of the disease in many cases. Cytarabine-containing remission-induction chemotherapies have been the most applied therapeutic strategies, but it is not clear whether the consolidation therapies are required or not, and what kind of regimens are appropriate. The role of hematopoietic stem cell transplantation (HSC) as a consolidation regimen is not clear, but, after the relapse of the disease with or without bone marrow involvement, HSC transplantation should be considered in suitable patients after the reinduction performed by AML chemotherapies. There is only limited data about the role of radiotherapy in these patients. It could be used in patients with relapsed disease, organ dysfunction which should be quickly relieved and inadequate response to chemotherapy. The effect of radiotherapy on overall survival is not known. New prospective studies and clinical trials are needed to generate guidelines for the treatment of primary granulocytic sarcomas.
  • Article
    Citation - WoS: 15
    Changes in Molecular Biology of Chronic Myeloid Leukemia in Tyrosine Kinase Inhibitor Era
    (e-Century Publishing Corporation, 2013) Cömert, Melda; Baran, Yusuf; Saydam, Güray
    Chronic myeloid leukemia (CML) is a clonal myeloproliferative disease characterized by a reciprocal translocation between long arms of chromosomes 9 and 22 t(9; 22) that generates the BCR-ABL fusion gene. If left untreated, newly diagnosed chronic phase CML patients finally progress to accelerated and blastic phase. After the introduction of tyrosine kinase inhibitors (TKIs), treatment strategies of CML changed dramatically. However, the development of resistance to TKIs started to create problems over time. In this review, the current information about CML biology before and after imatinib mesylate treatment is summarized.
  • Conference Object
    Citation - WoS: 3
    Citation - Scopus: 4
    Deep Learning Based Segmentation Pipeline for Label-Free Phase-Contrast Microscopy Images
    (IEEE, 2020) Ayanzadeh, Aydın; Yalçın Özuysal, Özden; Okvur, Devrim Pesen; Önal, Sevgi; Töreyin, Behçet Uğur; Ünay, Devrim
    The segmentation of cells is necessary for biologists in the morphological statistics for quantitative and qualitative analysis in Phase-contrast Microscopy (PCM) images. In this paper, we address the cell segmentation problem in PCM images. Deep Neural Networks (DNNs) commonly is initialized with weights from a network pre-trained on a large annotated data set like ImageNet have superior performance than those trained from scratch on a small dataset. Here, we demonstrate how encoder-decoder type architectures such as U-Net and Feature Pyramid Network (FPN) can be improved by an alternative encoder which pre-trained on the ImageNet dataset. In particular, our experimental results confirm that the image descriptors from ResNet-18 are highly effective in accurate prediction of the cell boundary and have higher Intersection over Union (IoU) in comparison to the classical U-Net and require fewer training epochs.
  • Conference Object
    Citation - Scopus: 2
    Yara İyileşmesi Mikroskopi Görüntü Serilerinin Otomatik Analizi - Bir Ön-çalışma
    (IEEE, 2020) Mayalı, Berkay; Şaylığ, Orkun; Yalçın Özuysal, Özden; Pesen Okvur, Devrim; Töreyin, Behçet Uğur; Ünay, Devrim
    Collective cell analysis from microscopy image series is important for wound healing research. Computer-based automation of such analyses may help in rapid acquisition of reliable and reproducible results. In this study phase -contrast optical microscopy image series of an in-vitro wound healing essay is manually delineated by two experts and its analysis is realized, traditional image processing and deep learning based approaches for automated segmentation of wound area are developed and their perlOrmance comparisons are carried out.
  • Conference Object
    Assessment of Cell Cycle and Viability of Magnetic Levitation Assembled Cellular Structures
    (IEEE, 2020) Anıl İnevi, Müge; Ünal, Yağmur Ceren; Yaman, Sena; Tekin, H. Cumhur; Meşe, Gülistan; Meşe, Gülistan
    Label-free magnetic levitation is one of the most recent Earth-based in vitro techniques that simulate the microgravity. This technique offers a great opportunity to biofabricate scaffold-free 3-dimensional (3D) structures and to study the effects of microgravity on these structures. In this study, self-assembled 3D living structures were fabricated in a paramagnetic medium by magnetic levitation technique and effects of the technique on cellular health was assessed. This magnetic force-assisted assembly system applied here offers broad applications in several fields, such as space biotechnology and bottom-up tissue engineering.
  • Article
    Citation - WoS: 6
    Citation - Scopus: 3
    Determining Element Accumulations in Turkish Red Pine Used as a Bioindicator for Estimating of Existing Pollution on Both Sides of Bosphorus in İstanbul
    (Parlar Scientific Publications, 2020) Yalçın, İbrahim Ertuğrul; Özyiğit, İbrahim İlker; Doğan, İlhan; Demir, Göksel; Yarcı, Celal
    Evergreen Turkish red pine tree shows wide distribution around Aegean and Mediterranean regions in Turkey. Herein work investigated the mineral nutrient status of Turkish red pine as a bioindicator for revealing the impact of existing pollution on both sides of Bosphorus in Istanbul. For this, Al, B, Ca, Cu, Fe, K, Mg, Na and Zn concentrations were determined in unwashed and washed leaves and barks of the plant and soil samples. The standard procedures were applied and the determinations of element concentrations in all samples were done using ICP-OES. The sample collections were performed at five different locations in Istanbul, 4 from the Bosphorus region and one from Prince Island (as control). The highest element concentrations (in mg kg(-1) DW) in plant parts were recorded between 109.10 +/- 1.68 and 120.58 +/- 1.75 for Al, 10.18 +/- 0.14 and 12.52 +/- 0.17 for B, 8765.42 +/- 92.41 and 9600.69 +/- 102.22 for Ca, 10.91 +/- 0.13 and 11.73 +/- 0.16 for Cu, 226.85 +/- 3.01 and 254.07 +/- 3.20 for Fe, 4050.69 +/- 48.51 and 4477.08 +/- 52.34 for K, 794.58 +/- 9.82 and 878.33 +/- 10.07 for Mg, 1255.14 +/- 14.67 and 1374.31 +/- 18.55 for Na and 34.92 +/- 0.49 and 37.25 +/- 0.57 for Zn while the highest element concentrations (in mg kg(-1) DW) in co-located soil samples were measured between 5470.42 +/- 66.48 and 6046.25 +/- 73.54 for Al, 14.86 +/- 0.20 and 16.43 +/- 0.29 for B, 4600.56 +/- 55.22 and 4984.86 +/- 62.71 for Ca, 22.33 +/- 0.36 and 25.07 +/- 0.48 for Cu, 5500.01 +/- 71.05 and 5953.06 +/- 80.16 for Fe, 1819.44 +/- 23.51 and 2029.17 +/- 27.04 for K, 4108.75 +/- 50.77 and 4714.17 +/- 58.09 for Mg, 111.11 +/- 1.82 and 122.08 +/- 2.45 for Na and 117.10 +/- 2.33 and 126.86 +/- 2.61 for Zn.
  • Conference Object
    Pros and Cons of Plant Nuclear Protein Enrichment
    (Mendel University of Agriculture and Forestry Brno, 2016) Svetlakova, Anna; Cerna, Hana; Novak, Jan; Şelale, Hatice
    Nuclear proteome contains important regulatory proteins. To improve the detection of these proteins, Percoll gradient-based fractionation techniques have been developed and optimized. However, owing to the ever increasing sensitivity of identification methods based on liquid chromatography and mass spectrometry, the time and material consuming fractionation methods may no longer be necessary. Here, we show that a Percoll-based nuclear protein fractionation of tomato leaf proteome increased the number of detected proteins, but at least some nuclear proteins were lost or depleted in the process.
  • Conference Object
    Citation - WoS: 3
    Citation - Scopus: 8
    Distinguishing Between Microrna Targets From Diverse Species Using Sequence Motifs and K-Mers
    (SCITEPRESS, 2017) Yousef, Malik; Khalifa, Waleed; Acar, İlhan Erkin; Allmer, Jens
    A disease phenotype is often due to dysregulation of gene expression. Post-translational regulation of protein abundance by microRNAs (miRNAs) is, therefore, of high importance in, for example, cancer studies. MicroRNAs provide a complementary sequence to their target messenger RNA (mRNA) as part of a complex molecular machinery. Known miRNAs and targets are listed in miRTarBase for a variety of organisms. The experimental detection of such pairs is convoluted and, therefore, their computational detection is desired which is complicated by missing negative data. For machine learning, many features for parameterization of the miRNA targets are available and k-mers and sequence motifs have previously been used. Unrelated organisms like intracellular pathogens and their hosts may communicate via miRNAs and, therefore, we investigated whether miRNA targets from one species can be differentiated from miRNA targets of another. To achieve this end, we employed target information of one species as positive and the other as negative training and testing data. Models of species with higher evolutionary distance generally achieved better results of up to 97% average accuracy (mouse versus Caenorhabditis elegans) while more closely related species did not lead to successful models (human versus mouse; 60%). In the future, when more targeting data becomes available, models can be established which will be able to more precisely determine miRNA targets in hostpathogen systems using this approach.