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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Clinical classification of sequence variants in non-coding regulatory regions in breast cancer susceptibility genes.
 Bubáková, Eliška ; Ševčík, Jan (advisor) ; Vodička, Pavel (referee)
Inactivation of tumor supressor gene BRCA1 causes a life-long risk of breast carcinoma development. Genetic screenings of indicated individuals from high-risk families help to identify large number of sequence variants in known predisposing genes. Majority of discovered variants doesn't have clinical significance yet which causes a big problem for diagnostics. Some of these variants are found within regulatory non-coding regions of gene. A part of the clinical classification of variants is their functional characterization. The goal of this thesis was to create a model system for functional characterization of variants in non-coding regions and to verify its function. Model system was based on targeted gene manipulation by co-transfecting CRISPR-Cas9 construct and donor construct that contained a portion of BRCA1 gene sequence with analyzed modifications, into U2 OS cells. The cells have stably integrated DR-GFP system which allows the activity of homologous recombination (HR) to be determined. Monoallelic modifications were induced into U2 OS cells. These modifications were in a Kozak sequence region of BRCA1 gene. Expression level of BRCA1 mRNA was determined by qRT-PCR, which showed the same levels of mRNA in all cells with analyzed alterations. Next, expression level of BRCA1 protein was...
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Molecular analysis of the mitochondrial genom of \kur{Diuraphis noxia} (Aphididae)
 CHUNDELOVÁ, Daniela
The complete sequence of mitochondrial DNA from Diuraphis noxia was obtained and characterized. The mitogenome contains a standard set of 13 protein-coding genes, 19 tRNA genes, 2 ribosomal RNA genes. A+T-rich and ?repets? regions in the same order as those of the other analyzed aphids. Comparison to mtDNAs from other Sternorrhyncha species obtained from GenBank revealed possible markers for studies on population differentiation. Phylogenetic analysis using parsimony and maximum likelihood confirmed the classification of Diuraphis noxia into the Aphididae.
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