18 results on '"Kurnaz, Işıl Aksan"'
Search Results
2. Multiple Sclerosis Biomarker Candidates Revealed by Cell-Type-Specific Interactome Analysis
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Yurduseven, Kübra, primary, Babal, Yigit Koray, additional, Celik, Esref, additional, Kerman, Bilal Ersen, additional, and Kurnaz, Işıl Aksan, additional
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- 2022
- Full Text
- View/download PDF
3. A Systematic Review of Synthetic Biology - A New Era in Biopharmaceutical Drug Development
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Kurnaz, Işıl Aksan, primary
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- 2020
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4. Validation of an In-Vitro Parkinson’s Disease Model for the Study of Neuroprotection
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Yiğit, Esra Nur, primary, Sönmez, Ekin, additional, Söğüt, Melis Savaşan, additional, Çakır, Tunahan, additional, and Kurnaz, Işıl Aksan, additional
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- 2018
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5. A Gene Expression Study of the TGF-b Signaling Pathway Components in Differentiating PC12 Cells
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KURNAZ, Işıl AKSAN
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nervous system ,PC12,TGF-b,Smad,NGF,gene expression profiling,neuronal differentiation - Abstract
The neuronal differentiation process has been studied in great detail from many aspects. In the PC12 system, NGF was found to induce neuronal differentiation as measured by neurite extensions and neuronal marker expression. This effect was seen to be mainly conducted through the Ras/MAPK pathway; however, additional pathways are suspected to play a significant role in this cellular response. One such pathway is Smad signaling - NGF was previously reported to induce the expression of the TGF-b signal, although the physiological relevance of this was not completely understood. In this study, we analyzed the expression profiles of several TGF-b pathway components, in an attempt to understand the potential role of this pathway in NGF-induced differentiation of PC12 cells.
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- 2014
6. Identification of transcription factor binding sites in promoter databases
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Durası, İlknur Melis, Dağ, Uğur, Güngör, Burcu Bakır, Erdoğan, Burcu, Kurnaz, Işıl Aksan, and Sezerman, Uğur
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Q Science (General) - Abstract
Transcription factors (TFs) are the proteins which regulates the expression of their target genes either in a positive or negative manner. TFs realize this task by binding to a specific DNA sequence contained in promoter regions, via their DNA binding motifs. Among ETS family TFs, Pea3 proteins are involved in the regulation of expression of genes, which are important for cell growth, development, differentiation, oncogenic transformation and apoptosis. In silico studies should be done to find out the novel target genes for this TF. Even though a few bioinformatics tools are available for this purpose, the user needs to go back and forth between different tools, and to repeat these steps for each of their candidate gene. Here we combined these tools and constituted a new tool which examines the affinity of any TF towards the selected target genes’ promoter sequences. The tool is tested on several genes, which are predicted to be regulated by Pea3 TF.
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- 2011
7. Molecular modeling and antimycobacterial studies of Mannich bases: 5-hydroxy-2-methyl-4H-pyran-4-ones.
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BERK, Barkın, US, Demet, ÖKTEM, Sinem, KOCAGÖZ, Z. Tanıl, ÇAĞLAYAN, Berrak, KURNAZ, Işıl AKSAN, and EROL, Dilek DEMİR
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MANNICH bases ,ANTIBACTERIAL agents ,MOLECULAR dynamics ,PYRAN ,DNA topoisomerase II ,MULTIDRUG-resistant tuberculosis - Published
- 2011
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8. Mannich base derivatives of 3-hydroxy-6- methyl-4H-pyran-4-one with antimicrobial activity.
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Us, Demet, Berk, Barkın, Gürdal, Ece, Aytekin, Nihan, Kocagöz, Tanıl, Çağlayan, Berrak, Kurnaz, Işıl Aksan, and Erol, Dilek Demır
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MANNICH bases ,MANNICH reaction ,DNA topoisomerase II ,MYCOBACTERIUM ,CARBONYL compounds ,ANTI-infective agents ,PIPERIDINE - Abstract
A series of 3-hydroxy-6-methyl-2-[(substitutedpiperidine-1-yl)methyl]-4H -pyran-4-one structured compounds were synthesized by reacting 5-hydroxy-2-methyl-4H -pyran-4-one with suitable piperidine derivatives using Mannich reaction conditions. Antibacterial activities of the compounds for E. coli ATCC 25922, S. paratyphi ATCC BAA-1250, S. flexneri ATCC 12022, E. gergoviae ATCC 33426, and M. smegmatis ATCC 14468 were assessed in vitro by the broth dilution method for determination of minimum inhibitory concentration (MIC). In addition, their inhibitory effects over DNA gyrase enzyme were evaluated using a DNA gyrase supercoiling assay. All the synthesized compounds showed a MIC value of either 8 or 16 μg/mL for M. smegmatis, whereas minimum to moderate activity was achieved for the others. Those tested in the supercoiling assay had at best a very mild inhibition of the enzyme. This series deserves further attention for testing over Mycobacterium species and topoisomerase II inhibition to develop new lead drugs to treat non-tuberculous mycobacterial infections. [ABSTRACT FROM AUTHOR]
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- 2010
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9. Oligodendrocyte interactome in healthy and diseased nervous system.
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Kerman, Bilal Ersen, Aydınlı, Fatmagül İlayda, Vatandaşlar, Burcu Kurt, Yurduseven, Kübra, Vatandaşlar, Emre, Çelik, Eşref, Yetiş, Sibel Çimen, Çapar, Abdulkerim, Aladağ, Zeynep, Ekinci, Dursun Ali, Ayten, Umut Engin, Töreyin, Behçet Uğur, and Kurnaz, Işıl Aksan
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NEUROLOGICAL disorders ,OLIGODENDROGLIA ,MYELIN proteins ,NERVOUS system ,DEMYELINATION ,MYELIN ,MULTIPLE sclerosis - Abstract
Objective: Myelin is essential for a healthy nervous system. Myelin formed by oligodendrocytes, accelerates impulse propagation and supports neuronal survival. Demyelination leads to neurodegeneration. In multiple sclerosis (MS) immune attack results in demyelination. Our goal is to dissect interactions among oligodendrocytes, neurons, and immune cells to improve our understanding of myelination and the demyelinating diseases. We aim to discover new targets for remyelination therapies. Methods: We are building tools for analyzing protein-protein and cell-to-cell interactions. To identify genes involved in myelination and MS, we developed a bioinformatics-based strategy, interactome analysis, which combines proteome and gene expression methodologies. Identified genes are evaluated in peripheral blood of MS patients and in mouse models. To accelerate drug discovery, 23 machine learning-based methodologies were assessed for myelin identification in fluorescent microscopy images. Results: Interactome analysis identified hundreds of proteinprotein interactions between pairs of oligodendrocytes, neurons, macrophages, microglia, and T cells. Most significant interactions are further analyzed in vivo and in vitro. Our customizedconvolutional neural network and Boosted Tree methods segmented myelin at over 98% accuracy. Identified myelin can be quantified and visualized in 3D. Conclusion: The interactome analysis yielded novel genes that are likely to be linked to MS. Machine learning-based methodologies are very effective in accelerating myelin quantification and thus, drug screens against demyelinating diseases such as MS. Overall, our innovative analysis strategies employing computer assistance produced novel avenues of exploration for myelination and demyelinating diseases. This study was supported TUBITAK (218S495,316S026), Istanbul Medipol University (BAP2018/06), and Turkish Academy of Sciences (GEBIP). [ABSTRACT FROM AUTHOR]
- Published
- 2020
10. PEA3 proteins in neuroglial circuitry?
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Kurnaz, Işıl Aksan
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DEVELOPMENTAL neurobiology , *ARTIFICIAL neural networks , *NEUROGLIA , *MOTOR neurons , *TRANSCRIPTION factors , *PROTEINS - Abstract
Pea3 subfamily of the ETS transcription factor superfamily has been implicated in metastasis, particularly in HER2/Neu-positive subclass of breast tumors, and was shown to regulate anchorage-independent growth and epithelial-to-mesenchymal transition of prostate cancer cells. Pea3 proteins were also shown to regulate normal development, including FGFdependent differentiation of retinal cells, and regulate motor neuron circuit selectivity in the spinal cord. Our laboratory has for a long time been working on how such a neural circuit specificity could be generated by Pea3 proteins, and what surface proteins might Pea3 proteins regulate to bring about such a circuit specificity. On the other hand, glial cells, including astrocytes and microglia, are also vital for neural circuitry and have been in the past years shown to be functionally diverse among different brain within compartments, or unique subpopulations of glia that support adult neurogenesis. It is an intriguing question whether this diversity originates during development or acquired later with neuronal activity, and whether glial diversity can be exploited or indeed directed to remedy CNS disorders, and whether Pea3 proteins can be used to that purpose. [ABSTRACT FROM AUTHOR]
- Published
- 2019
11. Identification of drug targets for Parkinson's disease through the integration of transcriptome data into genome-scale metabolic networks.
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Kaynar, Ali, Çakır, Tunahan, and Kurnaz, Işıl Aksan
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PARKINSON'S disease ,GLYCOLYSIS ,PHARMACOGENOMICS ,DRUG target ,DATA integration ,KREBS cycle ,GENE regulatory networks - Abstract
Objective: By integrating genomic-scale metabolic networks with gene expression information, it is aimed to elucidate the molecular mechanisms of the disease and to identify candidate drug targets. Methods: In this study, the brain-specific metabolic model, iBrain606, was used to estimate metabolic changes in Parkinson's disease. We use transcriptome datasets from Parkinson's disease patients, obtained from NCBI Gene Expression Omnibus. iBrain606 and the transcriptome data were used as input to a bioinformatic algorithm, which enables the prediction of metabolic reaction rates for healthy and disease cases. This computational approach was used to determine candidate drug targets, the genes whose deletions will bring the activity of metabolism closer to the the healthy case. Results: Simulation results show a decrease in glucose and oxygen uptake rates, a significant increase in lactate secretion, a decrease in ATP production and a significantly low activity for the Krebs cycle rates. Additional simulations to bring the diseased state to healthy state enabled the identification of novel drug targets. Conclusion: Using the molecular crowding constraint with the integration of transcriptome data into the genome-scale metabolic network is a successful approach to understanding the mechanism of Parkinson's disease, finding new drug targets and candidates. [ABSTRACT FROM AUTHOR]
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- 2019
12. The role of PEA3 proteins in neurons.
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Kandemir, Başak, Yılmaz, Bayram, and Kurnaz, Işıl Aksan
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MOTOR neurons ,NEURONS ,SENSORY neurons ,NERVOUS system ,GENE expression ,TRANSCRIPTION factors - Abstract
Pea3 proteins are a subfamily of the ETS transcription factor superfamily, consisting of Pea3, Erm and Er81. These proteins, which are expressed in different tissues exhibiting branching, play a role in a variety of events such as the formation of motor neuronal circuits in the nervous system, retinal differentiation, neurite extension. These proteins we have been working for many years in our laboratory soon began to be determined in our group by deciphering neurite extension mechanisms. The purpose of this present study is to understand the mechanisms of neurite extension through Pea3, to identify the genes which are regulated by Pea3. For this, novel target gene expression levels were investigated by microarray analysis and qPCR in Pea3 overexpressed various neural cell lines. The genes were classified by bioinformatic analysis, the pathways associated with neurons (neurotrophin signaling pathway, axon dynamics, etc.) were selected and the relationship between the genes in these pathways was examined and mapped by bioinformatic analysis. Our results showed that the members of Pea3 family regulate the expression of both common and unique genes in neuron-specific pathways at similar and / or different levels. In addition, the interaction mapping was created as a result of the informatics analysis. In order to elucidate which of these identified genes play a role in the selectivity of the motor neuron - sensory neuron circuits in Pea3 - overexpressed cells, studies on the relationship between different Pea3 family members should be conducted in a coculture system and the role of the Pea3 in circuit formation system as well as neuroglial connectivity should be studied. [ABSTRACT FROM AUTHOR]
- Published
- 2019
13. The effect of molecular crowding on Parkinson's disease by using a genome-scale metabolic network.
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Kaynar, Ali, Çakır, Tunahan, and Kurnaz, Işıl Aksan
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PARKINSON'S disease ,BIOINFORMATICS ,METABOLIC disorders - Abstract
Objective: In this study, genome-scale transcriptome data derived from Parkinson's disease patients are analyzed using bioinformatics methods to estimate significantly changed cellular pathways. Methods: A brain-specific genome-scale metabolic network model previously developed by our group, called iMS570, is used in the analysis. It is the most comprehensive metabolic network model in the literature. Here, we improved iMS570 by fully compartmenting all the reactions as cytosolic or mitochondrial based on the location of the catalyzing enzymes. The updated network included 799 reactions, a considerable improvement compared to the original model that included 630 reactions. The new metabolic network is called iBrain799. Since the aggregation of the alpha-synuclein protein in Parkinson's disease is a well-known phenomenon, the effect of molecular crowding on the functioning of metabolism was investigated in this study using iBrain799 and disease-specific transcriptome data. A computational approach which allows the prediction of reaction rates, called Flux Balance Analysis, was used for this purpose. Results: As a result of simulations, it was observed that the activity of energy metabolism decreased as the molecular crowding due to protein accumulation increased. Conclusion: The results reveal the effect of molecular crowding on Parkinson's disease as a function of the increase in the level of alpha-synuclein. This result is reasonable because if molecular crowding increases, then it becomes difficult for the enzyme to reach the substrates. For this reason, the rate of metabolism decreases. Low metabolism is a common phenomenon in neurodegenerative diseases, as in Parkinson's disease. When considered from this point of view, the use of the molecular crowding constraint in simulations gives realistic results. This research was financially supported by TUBITAK (Grant Number: 315S302) and TÜBA-GEBİP (2015). [ABSTRACT FROM AUTHOR]
- Published
- 2018
14. Integrated kinetic, genetic, and thermodynamic investigation of brain energy metabolism in neurons and astrocytes
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Genç, Seda, Özilgen, Mustafa, Kurnaz, Işıl Aksan, and Kimya Mühendisliği Anabilim Dalı
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Chemical Engineering ,Kimya Mühendisliği - Abstract
Nöron (sinir hücresi)-glia ilişkisi beyin enerji metabolizmasının yanısıra beynin normal işleyişi açısından da çok önemlidir. Bu konuda iki temel model vardır ? klasik görüşte, hem nöron hem de astrosit glikozu oksidatif metabolizma kanalıyla enerji kaynağı olarak kullanabilirken, astrosit-nöron laktat mekiği hipotezinde (ANLMH) glikozu anaerobik glikolizle piruvata ve daha sonra laktata tüketebilen astrosittir ve bu laktat daha sonraki oksidatif degredasyon için nöron tarafından alınmak üzere hücre dışı alana salgılanır. Çalışmanın bütünleşik kinetik ve genetik kısmında, nöronlar ve astrositlerdeki enerji metabolizması ANLMH modelinin her iki hücre tipi icin de enerji talebini karşılaması açısından bir avantaj sağlayıp sağlayamayacağı açısından analiz edildi. Deneyle desteklenen in siliko modelleme sonuçları hem normoksik hem de hipoksik koşullar altında verilen zaman diliminde ANLMH modelinin nörona klasik görüşten daha fazla ATP sağladığını gösterdi. Çalışmanın termodinamik kısmında, nöron perspektifinden ekserji analizi uygulandı ve nörondaki ATP üretiminin ekserjetik verimliliği her iki rakip model (klasik ve ANLMH) için ayrı ayrı değerlendirildi. Buna bağlı olarak enerjetik açıdan ANLMH modelinin nöron için daha elverişli olduğu öngörülmektedir. Ayrıca, kararsız durumda nöronun dinamik koşullar altında (normoksik, hipoksik, glikoz azlığı ve aşırı glikoz konsantrasyonu) ekserji kaybı analiz edildi. Analiz sonuçlarına göre, hücrenin sadece iş potansiyelinin değil aynı zamanda ekserji kaybı oranının aşırı glikoz konsantrasyonu altında en yüksek, glikoz azlığı koşulunda da en düşük olduğu belirtilmiştir. Neuro-glial interactions are important for normal functioning of the brain as well as brain energy metabolism. There are two major working models ? in the classical view, both neurons and astrocytes can utilize glucose as the energy source through oxidative metabolism, whereas in the astrocyte-neuron lactate shuttle hypothesis (ANLSH) it is the astrocyte which can consume glucose through anaerobic glycolysis to pyruvate and then to lactate, and this lactate is secreted to the extracellular space to be taken up by the neuron for further oxidative degradation. In the integrated kinetic and genetic part of the study, energy metabolism in neurons and astrocytes were analyzed whether the ANLSH model can provide an advantage to either cell type in terms of supplying the energy demand. This experimentation-supported in silico modeling results showed that under both normoxic and hypoxic conditions in a given time period ANLSH model does indeed provide the neuron with more ATP than in the classical view. In the thermodynamic part of the study, exergy analysis was applied from the perspective of a neuron, and exergetic efficiency of ATP production in the neuron is assessed with two competing models (classical and ANLSH), seperately. Therefore, it is predicted that the ANLSH model is energetically more favorable to the neuron. Also, unsteady exergy loss of neuron under dynamic stress conditions (normoxic, hypoxic, glucose starvation and excess glucose concentration) was analyzed. According to the analysis result, it is emphasized that not only the work potential, but also the rate of exergy loss of the cell is highest under excess glucose concentration and lowest under glucose starvation condition. 137
- Published
- 2013
15. Berberinin antimikrobiyal aktivitesinin değerlendirilmesi
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Karaosmanoğlu, Kübra, Sarıyar Akbulut, Berna, Aksan Kurnaz, Işıl, Biyomühendislik Anabilim Dalı, and Kurnaz, Işıl Aksan
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Biyomühendislik ,Berberine ,Genetics ,Escherichia coli ,Bioengineering ,Genetik ,Antimicrobial activity ,Biology ,Biyoloji ,Biyomihendislik - Abstract
ÖZETBERBERİNİN ANTİMİKROBİYAL AKTİVİTESİNİN DEĞERLENDİRİLMESİAntimikrobiyal ilaçların hastanelerde ve tarımsal alanlarda yaygın olarak kullanımı, bakterilerin mevcut ilaçlara karşı direnç göstermelerine neden olmaktadır. Bu durum, sağlık sektöründe önemli bir problem teşkil etmektedir. Doğal kaynaklar olarak bitkiler ilaca dirençli olan mikroorganizmalara karşı savaşacak yeni ilaçlar için sayısız olanaklar sunmaktadırlar. Bitki kaynaklı berberin, suda çözünebilen birkaç alkoloidden biridir ve birçok bakteri ve mantara karşı antimikrobiyal etksini gösterdiği bilinmektedir. Bu çalışmada, berberinin Escherichia coli K12’ye olan etkisi transkriptomik ve proteomik düzeyde araştırılmıştır. Büyüme ortamındaki berberinin konsantrasyonu 750mg/L olarak seçilmiştir. Ilaç varlığında ve yokluğundaki büyüme profilleri, büyümedeki farklılığın 4. saatte başladığını göstermiş ve buna bağlı olarak RNA ve proteinler inokülasyondan 4,5 saat sonra ekstrakte edilmiştir. Transkriptom çalışmalarında, hücrelerin gen ekspresyon profilleri mikroarray teknolojisi kullanılarak belirlenmiştir. Mikroarray sonuçlarını berberin varlığında ekspresyonu azalan veya artan genlerin sayılarına göre değerlendirdiğimizde; katabolik proses, membran proteinleri ve taşınım proteinleri ile ilgili ekspresyonu artan genlerin sayısında önemli ölçüde artış, biyosentez mekanizması ve nükleik asit biyosentezi ile ilgili ekspresyonu azalan genlerin sayısında önemli ölçüde düşüş gözlemlenmiştir. Proteomik analizlerde, protein ekspresyon farklılıkları iki boyutlu jel elektroforez tekniği kullanılarak belirlenmiştir. 15 protein, LC-MS/MS ile analiz edilmek üzere seçilmiştir. Sonuçlar, berberinin metabolik yolaklarda, hücre bölünmesinde, taşınma sistemlerinde, glikolizde, ve hücre adhezyonunda yer alan proteinlerin ekspresyonlarını değiştirdiğini göstermiştir. Elektron taşınma sisteminde, protein biyosentezinde ve trikarboksilik asit döngüsündeki proteinlerin ekspresyonu artarken, nmpC, ompC ve MALE gibi membran proteinlerinin ekspresyonunda dikkate değer bir düşüş gözlemlenmiştir. Bu sonuçlar, ilaç adaylarının moleküler mekanizmalarının anlaşılması ve hedefe yönelik ilaç tasarımında gelecekteki çalışmalar için önemli birikim oluşturacaktır.ABSTRACTEVALUATION OF THE ANTIMICROBIAL ACTIVITY OF BERBERINEThe extensive use of antimicrobial drugs in clinical and agricultural settings causes bacteria to acquire resistance against the commonly used antibiotics. This constitutes an important problem in health sector. Plants as natural products serve countless opportunities for new drugs to counter multi-drug resistance microorganisms. Plant-derived extract berberine is one of the few alkaloids soluble in water, and known to exhibit antimicrobial activity against several types of bacteria and fungi. In this work, the effect of berberine on Escherichia coli K12 was screened at both transcriptomic and proteomic level. The concentration of berberine in growth media was determined as 750mg/L. The analysis of growth profiles in the presence and absence of the drug candidate has shown that difference in growth started to be noticeable 4th hour of growth, hence RNAs and proteins were extracted 4,5 hours after inoculation. In transcriptomic approach, gene expression profiles of cells were determined using microarray technology. As we evaluated microarray results according to number of genes up/down-regulated in the presence of berberine, we have seen a significant increase in the number of up-regulated genes related to catabolic processes, membrane proteins and transporter proteins, and a significant decrease in the number of down-regulated genes related to biosynthesis and nucleic acid metabolism. In proteomic analysis, 2-dimensional gel electrophoresis technique was used to find protein expression differences. 15 protein spots were selected to be analyzed with LC-MS/MS. The results have shown that berberine altered the expression of proteins take place in metabolic pathways, cell division, transport systems, glycolysis, and cell adhesion. There is a significant down- regulation in the expression of membrane proteins like nmpC, ompC and MALE, while the expression of proteins take place in electron tranport system, protein biosynthesis and tricarboxylic acid cycle were up-regulated. These results will provide valuable information to understand the molecular mechanism of the action of the drug candidates and to design new-target based drug candidates for future studies
- Published
- 2012
16. Molecular modeling and antimycobacterial studies of Mannich bases: 5-hydroxy-2-methyl-4H-pyran-4-ones
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DİLEK DEMİR EROL, IŞIL AKSAN KURNAZ, BERRAK ÇAĞLAYAN, ZÜHTÜ TANIL KOCAGÖZ, SİNEM ÖKTEM, DEMET US, BARKIN BERK, Berk, Barkın, Us, Demet, Öktem, Sinem, Kocagöz, Z. Tanıl, Çağlayan, Berrak, Kurnaz, Işıl Aksan, Erol, Dilek Demir, Yeditepe Üniversitesi, and Acibadem University Dspace
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Antimycobacterial activity ,homology modeling ,Mühendislik ,General Chemistry ,DNA gyrase activity ,Kimya ,hydroxy-4H-pyran-4-one - Abstract
The World Health Organization lists tuberculosis among the top 3 leading causes of death from a single infectious agent, and reported cases of multidrug-resistant tuberculosis (MDR-TB) are on the rise. In an attempt to improve MDR-TB drug-directed therapy, we synthesized 11 4-substituted piperazine derivatives of 3-hydroxy-6-methyl-4H -pyran-4-one pharmacophore by reacting 5-hydroxy-2-methyl- 4H-pyran-4-one with suitable piperazine derivatives under Mannich reaction conditions. Inhibitory effects of the 11 compounds on Escherichia coli DNA gyrase were evaluated via DNA gyrase supercoiling assay. The minimum inhibitory concentrations (MIC) of the 11 compounds and 41 compounds from our previous studies against Mycobacterium tuberculosis H37RV were assessed, in vitro, by a broth dilution method. To determine the interaction pattern between active site amino acids and all 52 compounds, homology modeling for the construction of M. tuberculosis DNA gyrase B subunit was performed, followed by a docking study. The data presented here could prove useful in future studies on interaction field analysis and high throughput virtual screening of the derivatives of the 3-hydroxy-6-methyl-4H -pyran-4-one pharmacophore toward the development of more clinically applicable compounds.
- Published
- 2011
17. Elk-1 proteininin mikrotübül ile etkileşiminin sinir hücrelerinde araştırılması
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Demir, Özlem, Karabay Korkmaz, Arzu, Kurnaz, Işıl Aksan, İleri Teknolojiler Ana Bilim Dalı, Moleküler Biyoloji-Genetik ve Biyoteknoloji, and Molecular Biology and Genetics
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Moleküler Tıp ,Nöroloji ,Elk-1 ,Protein Etkileşimi ,fluids and secretions ,Neurology ,animal diseases ,Sinir Hücresi ,Molecular Medicine ,Neuron ,Microtubules ,Mikrotübül ,Protein Interaction - Abstract
Tez (Yüksek Lisans) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2008, Thesis (M.Sc.) -- İstanbul Technical University, Institute of Science and Technology, 2008, Elk-1, ETS grubu transkripsiyon faktörüdür ve anti-apoptotik ve hücreyi bölünmeye götüren genlerin ekspresyonlarını kontrol etmektedir. Ancak Elk-1 in bölünme özellikğini kaybetmiş olan sinir hücrelerinde bulunması ve sinirlerin akson ve dendrit bölgelerinde gözülmesi bu proteinin başka görevlerinin de olabileceğini göstermektedir. Bu çalışmada, Elk-1 proteininin hücrenin iskeletini oluşturan mikrotübül yapısıyla olan etkileşimi sinir hücrelerinde moleküler ve biyokimyasal yöntemler uygulanarak araştırılmıştır. Öncelikle bu iki proteinin, konfokal mikroskobu tekniği kullanılarak hücrenin içinde yerleri belirlenmiş ve ayni bölgelerde lokalize oldukları görülmüştür. Sonrasında yapılan in vitro ve in vivo bağlanma deneylerinde ise Elk-1 ve mikrotübül arasında direkt interaksiyon olduğu tespit edilmiştir. Daha sonra ise Elk-1 proteininin mikrotübüle bağlanma bölgesinin belirlenmesi amacıyla delesyen mutantları kullanılarak çökertme deneyleri tasarlanmış ve sonuç olarak Elk-1’in değişik bölgelerinin mikrötübüle bağlanma yatkınlığının olduğu bulunmuştur. Elde ettiğimiz bulgular mikrotübüllerin Elk-1 ile interaksiyona geçebildiğini göstermektedir., Elk-1 is an ETS-domain transcription factor which is known to control the expression of immediate early genes such as c-fos and egr-1. Because the expressions of these genes are induced upon external proliferation or survival stimuli, Elk-1 is expected to be present in dividing cells and mostly around or in the nucleus.. However, in the previous studies, Elk-1 has been shown to localize in the axonal and dendritic regions of neurons which are non-dividing cells. For this reason, we wanted to explore whether Elk-1 can associate with microtubules in neuroblastoma cells and primary hippocampal neurons. Our results indicate that Elk-1 co-localizes with microtubules in both cell types, mostly in the cytoplasm and proximal axons. In addition to this, bacterially expressed and purified GST-Elk proteins containing different regions of the whole protein, can pull-down microtubules both from the mouse brain lysate or in the purified form. The interaction between Elk-1 and microtubules were also confirmed by in vitro binding and microtubule sedimentation assays. Finally, microtubules were co-immunoprecipitated with Elk-1 protein in neuroblastoma cells. These data altogether show that Elk-1 can associate with microtubules in neurons, Yüksek Lisans, M.Sc.
- Published
- 2008
18. Multiple Sclerosis Biomarker Candidates Revealed by Cell-Type-Specific Interactome Analysis.
- Author
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Yurduseven K, Babal YK, Celik E, Kerman BE, and Kurnaz IA
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- Biomarkers metabolism, Brain metabolism, Gray Matter metabolism, Humans, Magnetic Resonance Imaging, Membrane Proteins metabolism, RNA-Binding Proteins metabolism, Multiple Sclerosis genetics, Multiple Sclerosis metabolism, White Matter metabolism
- Abstract
Multiple sclerosis (MS) is a demyelinating disorder that affects multiple regions of the central nervous system such as the brain, spinal cord, and optic nerves. Susceptibility to MS, as well as disease progression rates, displays marked patient-to-patient variability. To date, biomarkers that forecast differences in clinical phenotypes and outcomes have been limited. In this context, cell-type-specific interactome analyses offer important prospects and hope for novel diagnostics and therapeutics. We report here an original study using bioinformatic analysis of MS data sets that revealed interaction profiles as well as specific hub proteins in white matter (WM) and gray matter (GM) that appear critical for disease mechanisms. First, cell-type-specific interactome analyses suggested that while interactions within the WM were focused on oligodendrocytes, interactions within the GM were mostly neuron centric. Second, hub proteins such as APP, EGLN3, PTEN, and LRRK2 were identified to be differentially regulated in MS data sets. Lastly, a comparison of the brain and peripheral blood samples identified biomarker candidates such as NRGN, CRTC1, CDC42, and IFITM3 to be differentially expressed in different types of MS. These findings offer a unique cell-type-specific cell-to-cell interaction network in MS and identify potential biomarkers by comparative analysis of the brain and the blood transcriptomics. From a study design and methodology perspective, we suggest that the cell-type-specific interactome analysis is an important systems science frontier that might offer new insights on other neurodegenerative and brain disorders as well.
- Published
- 2022
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