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Human F1Fo-ATPsynthase deficiency
Suldovská, Sabina ; Tesařová, Markéta (advisor) ; Černá, Leona (referee)
F1FO-ATPsynthase is a key enzyme in energy metabolism of the cell. Its deficit is caused usually by mutations in two structural genes MT-ATP6 and MT-ATP8 encoded by the mitochondrial DNA or in nuclear genes ATPAF2 and TMEM70 encoding the biogenesis factors and structural gene ATP5E. Deficiency of the F1FO-ATPsynthase leads to progressive and serious phenotype affecting organs with high energy demands. The first symptoms usually occurs in neonatal age and prognosis of the disease is fatal. Mutations in these genes result in both qualitative and quantitative defects of the F1FO-ATPsynthase. The study of molecular bases of mitochondrial disorders including F1FO-ATPsynthase deficiency uses large number of biochemical and molecular-genetic methods to determine a proper diagnosis which is essential for the symptomatic therapy and genetic counselling in affected families. The aim of the diploma thesis was to characterise the F1FO-ATPsynthase deficiency in isolated mitochondria from the lines of cultured cells by the determination oligomycin- sensitive ATP-hydrolytic activity of the F1FO-ATPsynthase, enzymatic activities of the respiratory chain complexes and to analyse changes in the steady-state levels of the representative subunits and whole complex of the F1FO-ATPsynthase in comparison with controls. 3...
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Interactive Database for the Storage and Maintenance of the Biological Data
Dúbrava, Juraj Ondrej ; Martínek, Tomáš (referee) ; Musil, Miloš (advisor)
Cieľom tejto práce je vytvorenie novej databázy dát pre proteínovú stabilitu, ktorá bude udržiavať a poskytovať experimentálne dáta. Výsledkom práce je databáza FireProtDB, ktorá poskytuje manuálne overené experimentálne dáta z dostupných zdrojov a implementuje grafické užívateľské rozhranie, ktoré poskytuje dôležité informácie o dátach spoločne s možnosťou vyhľadávania umožňujúcim vytvárať dotazy na mieru a cieliacim na užívateľov, ktorí hľadajú dáta pre vytváranie dátových sád pre nástroje využívajúce strojové učenie.
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Mutations in MLH1 gene and MSI status as molecular characteristics of sporadic colorectal cancer
Čaja, Fabián
Colorectal carcinoma (CRC) is one of the most prevalent malignancies in the Czech Republic. In general, there are two molecular pathways leading to CRC: one is characterized by chromosomal instability, the other by the deficiency in DNA mismatch repair (MMR) genes. MutL homologue 1 (MLH1) gene, a member of the MMR gene-family, represents a key component of the MMR system, responsible for recognition of nucleotide mismatches occurring during DNA replication, and for the recruitment of repair proteins to correct the replication errors. According to literature, somatic mutations in MMR genes, and MLH1 in particular, hallmark sporadic, MMR deficient, CRC cases. We aimed at analyzing somatic events in MLH1 gene and the determination of microsatellite instability (MSI) status in 99 DNA samples from 96 patients with sporadic CRC. Mutations were screened by high resolution melting (HRM) curve analysis. Positive cases in each run were subsequently verified by automated sequencing. Mainly gene variants were found in MLH1 gene: We discovered two new variants, one in exon 2 at position c. 204 C>G, p. Ile68Met (98 C/C, 1C/G) and the other in exon 11 at position c. 973 C>T, p. Arg325Trp (98 C/C, 1 C/T). Only the latter variant c. 973 C>T was identified as somatic mutation. All other variants found in MLH1 gene...
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Genetics and phenotypic characteristics of early-onset Parkinson's disease
Fiala, Ondřej ; Růžička, Evžen (advisor) ; Seeman, Pavel (referee) ; Bojar, Martin (referee)
Objective: Mutations in the parkin (PARK2) gene have been associated with autosomal recessive early-onset Parkinson's disease (EOPD) with various frequencies in different populations. The aim of the study is to describe phenotypic characteristics of Czech EOPD patients, to evaluate the influence of environmental risk factors, and to determine the frequency of parkin allelic variants in patients and healthy controls. Methods: A total of 70 EOPD patients (age at onset ≤ 40 years) and 75 controls were phenotyped and screened for the sequence variants and exon rearrangements in the parkin gene. Results: The main features in the phenotype of the patients' sample were: the absence of cognitive deficit, high occurrence of dystonia, depression, hyperhidrosis, an excellent response to dopaminergic therapy, early onset of dyskinesia and motor fluctuation. Patients with mutations in the parkin gene had significantly lower age at onset. The agricultural occupation and work with chemicals increased the risk of EOPD, however the coffee drinking appeared to be a protective factor. Parkin mutations were identified in five patients (7.1%): the p.R334C point mutation was present in one patient, four patients had exon deletions. The detected mutations were observed in the heterozygous state except one homozygous...
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Long-term monitoring of ctDNA levels in patients with metastatic colorectal cancer for early detection of progression or recurrence of the disease
Kopalová, Dominika ; Benešová, Lucie (advisor) ; Kološtová, Katarína (referee)
Circulating tumor DNA (ctDNA) in peripheral blood of patients with metastatic colorectal cancer appears to be a promising molecular marker that provides various applications. ctDNA levels vary depending on the presence, alternatively on the volume of tumor mass within patient's body, which can be used primarily for early detection of disease progression or recurrence and moreover for evaluating radicality of surgical treatment, all within long-term postoperative follow-up of the patient. Due to minimal invasivity of ctDNA analysis from peripheral blood (so-called liquid biopsy), it is possible to perform it repeatedly at relatively short time intervals. On account of very low fraction of ctDNA in total cell-free DNA (cfDNA) ranging between units and hundreds of percent, the key factor is optimal methodology covering all steps from the isolation process to a sufficiently sensitive detection technology. In this thesis I focus on an optimization of isolation process and analysis of ctDNA obtained from tumor tissue and plasma of selected patients with metastatic colorectal cancer in connection with surgical radicality and correlation with a clinical status of the patients.
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Intracellular domain of glutamate ion channels and its role in the emergence of pathophysiological states
Sadílková, Lucie ; Balík, Aleš (advisor) ; Kolář, David (referee)
Glutamate mediates most of the excitatory neurotransmissions in the central nervous system of mammals. Its effect depends on the presence of glutamate receptors on postsynaptic neurons. NMDA receptors are class of the ionotropic glutamate receptors and are necessary for normal brain function such as synaptic plasticity, learning, memory and correct development of neu- rons. NMDA receptors are also involved in the pathophysiology of many neurodevelopmental and neuropsychiatric diseases. The aim of this work is to evaluate the current knowledge of the role of the intracellular part of NMDA receptors for their function, particularly with respect to the regulation of their localization at excitatory synapses. In addition, it also provides an over- view of the genetic changes found in this part of the receptor, their effect on the functional properties of the receptor and then also a possible link to specific disease.
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Mutační status a jiné chromozomální změny u chronické lymfatické leukémie
ŠLOUFOVÁ, Martina
This thesis is focused on mutation status and other chromosomal changes in chronic lymphocytic leukemia. CLL is a lymphoproliferative illness with a low malignancy based on clonal proliferacy of malignatly transformed B lymphocytes. Although this is the most frequent malignant illness in western population, the cause leading to its origin has not been yet clearly given. Identifying prognostic markers has a significant meaning in identifying the illness prognosis, the choice of treatment strategy, and it influences general survival of patients. The aim of this thesis is to describe the frequency of the most usual mutations in patients suffering from CLL. All the results obtained from CLL patients were acquired from the Hospital in České Budějovice from 2016 to 2018.
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Machine Learning as a Tool for the Prediction of the Effect of Mutations on Protein Stability
Dúbrava, Juraj Ondrej ; Martínek, Tomáš (referee) ; Musil, Miloš (advisor)
The main focus of this thesis is the prediction of the effect of amino acid substitutions on protein stability. My goal was to develop a predictive tool for the classification of the effect of mutations by combining several machine learning techniques. The implemented predictor, which utilizes SVM and Random forest methods, has achieved higher accuracy than any of the integrated methods. The novel predictive tool was compared with the existing ones using independent testing dataset. The predictor has yield 67 % accuracy and MCC 0,3.
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Development of algorithms for the analysis of duplex sequencing data
HEINZL, Monika
Duplex sequencing detects ultra-rare mutations by tagging DNA molecules with double-stranded tags. This method creates single-stranded consensus sequences (SSCS) from the reads, which then form duplex consensus sequences (DCS) and are then aligned to the reference genome to call mutations. During this process, a large amount of sequencing data is lost. Therefore, we have developed new algorithms, that give insight in the sequencing data which helps to improve the reads/SSCS/DCS ratios. In addition, a graphical representation of the sequencing data was implemented. The first part of the thesis is focusing on the distribution of sizes of read families. Second, a detailed analysis of the tags is shown by calculating their Hamming distances which can identify sequencing or PCR errors from true molecules. In addition, we can detect artificial produced chimeric reads during PCR. The fourth part includes the application of our algorithms on shorter tag lengths and on only those tags which are involved in the formation of DCSs. Finally, we investigated different sources of read loss during data analysis.
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Investigating critical mechanisms of oncogenesis using cell model systems
Hušková, Hana ; Stopka, Tomáš (advisor) ; Macůrek, Libor (referee) ; Vojtěšek, Bořivoj (referee)
(EN) Humans and cells in their bodies are exposed to various mutagens in their lifetime that cause DNA damage and mutations, which affect the biology and physiology of the target cell, and can lead to the expansion of an immortalized cell clone. Genome-wide massively parallel sequencing allows the identification of DNA mutations in the coding sequences (whole exome sequencing, WES), or even the entire genome of a tumour. Mutational signatures of individual mutagenic processes can be extracted from these data, as well as mutations in genes potentially important for cancer development ('cancer drivers', as opposed to 'passengers', which do not confer a comparative growth advantage to a cell clone). Many known mutational signatures do not yet have an attributed cause; and many known mutagens do not have an attributed signature. Similarly, it is estimated that many cancer driver genes remain to be identified. This Thesis proposes a system based on immortalization of mouse embryonic fibroblasts (MEF) upon mutagen treatment for modelling of mutational signatures and identification and testing of cancer driver genes and mutations. The signatures extracted from WES data of 25 immortalized MEF cell lines, which arose upon treatment with a variety of mutagens, showed that the assay recapitulates the...
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