Master Degree / Yüksek Lisans Tezleri
Permanent URI for this collectionhttps://hdl.handle.net/11147/3008
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Master Thesis Mass Spectrometry-Based Proteome Analysis of Leishmania Major Parasite in Two Clinical Isolates Which Exhibit Different Impact on Virulence(Izmir Institute of Technology, 2018) Güvenç, Nazlı; Yalçın, TalatLeishmaniasis is a disease that covered under the title of neglected tropical diseases caused by protozoan parasites called Leishmania which can classify into three groups as visceral, cutaneous and mucocutaneous leishmaniasis. L. major is a type of parasite that causes cutaneous leishmaniasis and it is endemic in Iran, and Syria. However, cutaneous type leishmaniasis caused by L. major has been begun to detect in Turkey due to its close location to such countries. Moreover, the variety in the infectivity of L. major in a different region of Turkey has detected. Therefore, the uncertainty under the virulence effect of L. major is aimed to investigate. Large-scale protein analysis by mass spectrometry based proteomics has cleared up to proteome mapping for different organism recently. Generally, although two methodologies that involve gel-free and gel-based approaches have widely accepted for proteomic analysis, gel-free LC-MS/MS analysis were applied to characterize the proteome analysis of L. major parasite in two clinical case exhibiting passive and aggressive virulence effect on leishmaniasis. Finally, differential and common proteins that can affect the infectivity of L. major invastigated by shotgun analysis. As a result, samples showed that there are conflict results with the literature about GP63, secreted acid proteases, cysteine proteases and Peroxiredoxin proteins existence and also in the aggressive L. major cystathionine beta-synthase protein which has an role to synthesis of CPs and pyridoxal phosphate binding activity were proposed as a critical protein for L. major infectivity due to its association with SAPs, CPs.Master Thesis Mass Spectrometry-Based Comparative Proteomic Analysis of Drug Resistant and Nonresistant Strains of Parasite Trichomonas Vaginalis(Izmir Institute of Technology, 2018) Özyağcı, Begüm; Yalçın, TalatTrichomonas vaginalis (T. vaginalis) causes sexually transmitted disease, trichomoniasis. Acute infections can result in cervical cancer, pelvic inflammatory disease, HIV-1 infection, preterm births, and low birth weight. Metronidazole, an antibiotic, is the standard treatment of the disease. However, in some cases T. vaginalis shows resistance to metronidazole thus treatment fails. Nevertheless, resistance mechanism of the parasite is not fully understood. Mass spectrometry has become an important tool in proteomic analysis with the emergence of soft ionization techniques instead of traditional protein identification and sequencing methods. In this study, a comparative gel-free proteomic analysis based on mass spectrometry with soft ionization technology was performed in two sets for resistant and non-resistant strains of T. vaginalis parasite isolated from clinical cases. Total proteins were digested by in solution digestion method and separated with high pH reversed-phase liquid chromatography. After fractions were concatenated, each fraction of sample was analyzed by reversed-phase liquid chromatography electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS) and proteins were identified by database search. Common and differential proteins between resistant and two sensitive trichomoniasis samples were compared according to their molecular function. Results indicate that ferredoxin 5 and hydroxyl amine reductase are differential proteins with iron-sulfur cluster binding activity identified for only resistant strain. Thioredoxin reductase, alcohol dehydrogenase, superoxide dismutase, pyruvate:ferredoxin oxidoreductase are studied proteins in the literature and also identified as common proteins in all strains for this study. These proteins might have a role in drug resistance mechanism of T. vaginalis.Master Thesis Importance of Database Normalization for Reliable Protein Identification in Mass Spectrometry-Based Proteomics(Izmir Institute of Technology, 2016) Mungan, Mehmet Direnç; Allmer, Jens; Yalçın, TalatOne of the revolutionary steps towards proteomics, was introducing mass spectrometry to protein inference analysis. Its powerful aspects such as speed, and accuracy towards identifying and quantifying proteins have made it the first choice to obtain highthroughput data. Due to development of a variety of fragmentation techniques, mass spectrometry-based analysis even made it possible to acquire knowledge about single polymorphisms and modifications of amino acids of a peptide. Although this technology provides enormous amounts of data, identification of the proteins is still a hard challenge to overcome due to the shortcomings of computational methods. Herein a novel methodology is offered to better analyze mass spectrometry data and overcome the deficiency of protein identification algorithms in terms of speed and accuracy. When the spectral data is acquired from an organism by mass spectrometry, database search algorithms are used for protein identification if the protein sequences of the organism are known. These algorithms compare the experimental data from mass spectrometry analysis to theoretical data gathered from known databases of organism to try and find the best match by ranking the PSMs via scoring functions. Since the databases can be too large to search and multiple databases with different sizes can contain the peptides of experimental data, database search algorithms may fail to produce fair, fast or complete results. In this work a methodology is presented to overcome unfair scoring of peptides in different size databases and enable database search algorithms to utilize relatively big sized entries such as human chromosome six frame translations. In terms of speed and accuracy the method is found to be better than some of the existing methods.