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Proteomic analysis of posttranslation modifications in breast cancer cell line profiles
Predná, Nikola ; Laštovičková,, Markéta (oponent) ; Strouhalová,, Dana (vedoucí práce)
Estrogen and progesterone receptors, as well as HER2 protein, are currently the most clinically useful metabolic markers in breast cancer. These markers allow for the determination of the type of tumor and its best treatment options. However, one of the most aggressive types of this disease, triple-negative breast cancer (TNBC), lacks these clinically established biomarkers. This means that hormone therapy or targeted drugs are not an option, leaving fewer treatment options to choose from. In order for new tailored drugs to be developed, the understanding of the molecular basis of the disease is crucial. Recently, many studies aim their search for biomarkers at the protein level using proteomics. Proteins, notably their post-translational modifications (PTM), are at the core of many cellular events and their uncovering may help in the understanding of breast cancer mechanisms.In order to discover the molecular features of TNBC, this study aims to compare proteomic data of untreated cancer cell lines with cells that underwent retinoid therapy. The focus will be on the PTMs, notably glycosylation and phosphorylation, of Vimentin and CD44, which were proposed as potential TNBC biomarkers in previous studies. Protein separation will be carried out using 1D and 2D gel electrophoresis or by SEC-HPLC. The samples will also be subdued to enzymatic cleavage before being identified using MALDI-TOF Mass Spectrometry. In the case of phosphoprotein selective capture, enrichment will be performed by affinity chromatography using TiO2 phosphopeptide enrichment tips (TopTip). Glycosylated proteins will be enriched using WGA lectin affinity based chromatography. Proteins with significant differences in PTMs between the treated and untreated cells will be evaluated using protein databases (MASCOT, STRING, and more). The data acquired from the study will eventually be used to propose potential biomarkers for TNBC.
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Proteomic analysis of posttranslation modifications in breast cancer cell line profiles
Predná, Nikola ; Laštovičková,, Markéta (oponent) ; Strouhalová,, Dana (vedoucí práce)
Estrogen and progesterone receptors, as well as HER2 protein, are currently the most clinically useful metabolic markers in breast cancer. These markers allow for the determination of the type of tumor and its best treatment options. However, one of the most aggressive types of this disease, triple-negative breast cancer (TNBC), lacks these clinically established biomarkers. This means that hormone therapy or targeted drugs are not an option, leaving fewer treatment options to choose from. In order for new tailored drugs to be developed, the understanding of the molecular basis of the disease is crucial. Recently, many studies aim their search for biomarkers at the protein level using proteomics. Proteins, notably their post-translational modifications (PTM), are at the core of many cellular events and their uncovering may help in the understanding of breast cancer mechanisms.In order to discover the molecular features of TNBC, this study aims to compare proteomic data of untreated cancer cell lines with cells that underwent retinoid therapy. The focus will be on the PTMs, notably glycosylation and phosphorylation, of Vimentin and CD44, which were proposed as potential TNBC biomarkers in previous studies. Protein separation will be carried out using 1D and 2D gel electrophoresis or by SEC-HPLC. The samples will also be subdued to enzymatic cleavage before being identified using MALDI-TOF Mass Spectrometry. In the case of phosphoprotein selective capture, enrichment will be performed by affinity chromatography using TiO2 phosphopeptide enrichment tips (TopTip). Glycosylated proteins will be enriched using WGA lectin affinity based chromatography. Proteins with significant differences in PTMs between the treated and untreated cells will be evaluated using protein databases (MASCOT, STRING, and more). The data acquired from the study will eventually be used to propose potential biomarkers for TNBC.
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