Browsing by Subject "peptidomics"

The human immune system can provide a powerful tool in developing therapies against various cancers. Even though the idea of an immune system actively searching for and disposing of potential mutated tumor cells is over a century old, only recent developments in various fields such as mass spectrometry, immuno-checkpoint blockade strategies and in silico modelling have enabled the realization of the full potential of recruiting immune system to fight cancer and the possibilities of personalized therapies. These therapeutic methods, including but not limited to oncolytic virus therapies, T-cell therapies and cancer vaccines, are based on the body’s ability to recognize mutated antigen peptides presented on the cell surface by MCH-receptors (also known as HLA-receptors in humans) and the disposal of the malignant cells by cytotoxic T-cells. Thus, the capability to map the individual HLA-presented peptidome and differentiate the immunogenic peptides is a foundation for this plethora of therapies and is in focus of ongoing research. This master thesis is a part of a project aiming to set up immunoaffinity-purification/MS based method in order to analyse the ligandome and determine T-cell recognized cancer associated antigens from tumor cells. Objectives of the work: 1. Characterizing tumor cell lines. 2. Immunological assay set up. 3. Collecting cell culture material for the ligandome affinity purification. 4. In silico prediction if the immunogenicity of selected peptides and assessing their source proteins. Methods used: 1. Cell culture. 2. FACS-analysis. 3. MTS-viability assay. 4. Immunological assays (ELISA, ELISPOT). 5. Immunological bioinformatics analysis tools (IEDB) and database search (UniPROT). Results: 1. Flow cytometric analysis provided essential information of the cell line HLA-1 expression. Additional information of PD-L1 expression can be used to evaluate cell line’s immune-evasion abilities. Preliminary MTS assay is used to determine linear range and optimal time frame for the PBMC/cancer cell co-culture killing assay. 2. Interferon γ cytokine secretion was determined by ELISPOT to assess PBMC response against known antigens in a preliminary experiment to approximate usable range for the following antigen specific PBMC assays. ELISA is used to confirm the presence of HLA-I receptors in the ligandome affinity purification eluates and to estimate the efficacy of purification. 3. Feasibility of in silico methods in the prediction of immunogenic peptides was explored. The experiments provided information that can be applied to the further development of the immune ligandome discovery project. In silico methods were successfully used to characterize previously identified HLA-restricted peptides and one previously identified immunogenic T-cell epitope. Even if the data acquired in silico can be considered only nominally verified at this stage, the results are encouraging.