@phdthesis{Vershenya2010,
  author    = {Vershenya, Stanislav},
  title     = {Quantitative and qualitative analyses of in-paralogs},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-51358},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2010},
  abstract  = {In our analysis I was interested in the gene duplications, with focus on in-paralogs. In-paralogs are gene duplicates which arose after species split. Here I analysed the in-paralogs quantitatively, as well as qualitatively. For quantitative analysis genomes of 21 species were taken. Most of them have vastly different lifestyles with maximum evolutionary distance between them 1100 million years. Species included mammals, fish, insects and worm, plus some other chordates. All the species were pairwised analysed by the Inparanoid software, and in-paralogs matrix were built representing number of in-paralogs in all vs. all manner. Based on the in-paralogs matrix I tried to reconstruct the evolutionary tree using in-paralog numbers as evolutionary distance. If all 21 species were used the resulting tree was very far from real one: a lot of species were misplaced. However if the number was reduced to 12, all of the species were placed correctly with only difference being wrong insect and fish clusters switched. Then to in-paralogs matrix the neighbour-net algorithm was applied. The resulting "net" tree showed the species with fast or slow duplications rates compared to the others. We could identify species with very high or very low duplications frequencies and it correlates with known occurrences of the whole genome duplications. As the next step I built the graphs for every single species showing the correlation between their in-paralogs number and evolutionary distance. As we have 21 species, graph for every species is built using 20 points. Coordinates of the points are set using the evolutionary distance to that particular species and in-paralogs number. In mammals with increasing the distance from speciation the in-paralogs number also increased, however not in linear fashion. In fish and insects the graph close to zero is just the same in mammals' case. However, after reaching the evolutionary distances more than 800 million years the number of inparalogs is beginning to decrease. We also made a simulation of gene duplications for all 21 species and all the splits according to the fossil and molecular clock data from literature. In our simulation duplication frequency was minimal closer to the past and maximum in the near-present time. Resulting curves had the same shape the experimental data ones. In case of fish and insect for simulation the duplication rate coefficient even had to be set negative in order to repeat experimental curve shape. To the duplication rate coefficient in our simulation contribute 2 criteria: gene duplications and gene losses. As gene duplication is stochastical process it should always be a constant. So the changing in the coefficient should be solely explained by the increasing gene loss of old genes. The processes are explained by the evolution model with high gene duplication and loss ratio. The drop in number of in-paralogs is probably due to the BLAST algorithm. It is observed in comparing highly divergent species and BLAST cannot find the orthologs so precisely anymore. In the second part of my work I concentrated more on the specific function of inparalogs. Because such analysis is time-consuming it could be done on the limited number species. Here I used three insects: Drosophila melanogaster (fruit y), Anopheles gambiae (mosquito) and Apis mellifera (honeybee). After Inparnoid analyses and I listed the cluster of orthologs. Functional analyses of all listed genes were done using GO annotations and also KEGG PATHWAY database. We found, that the gene duplication pattern is unique for each species and that this uniqueness is rejected through the differences in functional classes of duplicated genes. The preferences for some classes reject the evolutionary trends of the last 350 million years and allow assumptions on the role of those genes duplications in the lifestyle of species. Furthermore, the observed gene duplications allowed me to find connections between genomic changes and their phenotypic manifestations. For example I found duplications within carbohydrate metabolism rejecting feed pattern adaptation, within photo- and olfactory-receptors indicating sensing adaptation and within troponin indicating adaptations in the development. Despite these species specific differences, found high correlations between the independently duplicated genes between the species. This might hint for a "pool" of genes preferentially duplicated. Taken together, the observed duplication patterns reject the adaptational process and provide us another link to the field of genomic zoology.},
  subject      = {Duplikation},
  language  = {en}
}
@phdthesis{Vershenya2007,
  author    = {Vershenya, Stanislav},
  title     = {T-cell receptor assay and reticulocyte-micronuclei assay as biological dosimeters for ionizing radiation in humans},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-28885},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2007},
  abstract  = {In radiation accidents biological methods are used in dosimetry, if the radiation dose could not be measured by physical methods. The knowledge of individual dose is a prerequisite for planning a medical treatment and for health risk evaluations. In the present work two biodosimetrical assays were calibrated in young patients who were treated with radioiodine for thyroid cancer. Patients were from Belarus. They suffered from radiation induced thyroid cancer as a consequence of the Chernobyl reactor accident. In radioiodine therapy (RIT) bone marrow and lymphatic organs are exposed to ionizing radiation at doses of 0.1 to 0.75 Sv within about 2 days. Since several RIT have to be applied with interval between each of them from 6 months up to approximately 1 year, total dose can be up to 2 Sv within 2 to 3 years. The dose for thyroid tissue is approximately 1000 times higher. The dose-response relationship was measured by the T-cell receptor test (TCR test) in T4 lymphocytes with and without in vitro incubation or by the micronucleus assay in transferrin receptor positive reticulocytes (MN-Tf-Ret test). In all these assays, the frequency of radiation-induced mutants of blood cells is measured using flow cytometry. The TCR test is a cumulative biodosimeter, which measures the total radiation dose within the last 5 to 10 years, whereas the result of the MN-Tf-Ret test reflects the radiation dose of approximately 24 hours interval. It takes 8 hours and 3 days to perform TCR and MN-Tf-Ret tests respectively. Calibration curves based on radioiodine treated patients can be used for dose estimation in humans, if the radiation conditions correspond to those in RIT. This limits their applicability to low dose-rate \&\#946;- and \&\#947;-irradiation and to doses per session not higher than about 0.5 Sv. If higher doses or dose-rates as well as the other types of ionizing radiation are involved, calibration curves in animals are indispensable. In the case MN-Tf-Ret test mouse models are established and may be used. The TCR assay was performed in 72 thyroid cancer patients aged between 14 and 25. T-cell mutant frequency (Mf) reaches its maximum only after half a year following the RIT. Then it declines exponentially. This decline could be described by the 3 parameter single exponential decay function. Based on this equation, the radiation dose could be calculated when the Mf and the time interval since exposure are known. Furthermore, the experimentally measured Mf value, which significantly exceeds the corresponding calculated Mf value would indicate an individual with higher radiosensitivity. However, among our patients there were none. The reticulocytes micronuclei test (MN-Tf-Ret) was performed in 46 radioiodine treated patients. When measuring the MN frequency (f(MN-Tf-Ret)) the measured cell fraction should be limited only to the youngest cohort of reticulocytes, because all the micronucleated erythrocytes are quickly removed from the peripheral blood by spleen. Thus, the MN test was performed only in CD71 positive (having transferring receptor) reticulocytes. These reticulocytes just entered the peripheral blood flow from red marrow. The MN frequency was measured before the therapy and then every day after the irradiation until day 7. MN frequency curve has typical shape with latent period for days 0 to 3. Then there is a sharp increase in MN frequency which lasts for 24 hours and could start between days 3 and 4. In the following days the MN frequency is dropping to its base level that equals the one before the treatment. The decay of MN frequency is depending on the half-life of radioiodine in the patient organism. If the half-life is low, then the increased f(MN-Tf-Ret) lasts shorter and vice versa. It was shown that the MN frequency curve could be described by the model where all the micronuclei arise only through the last mitosis of erythroblasts in the red marrow and the MN frequency is proportional to the radiation dose in the last cell cycle. The shape of this curve depends on the cell kinetics of erythropoiesis on one side and the exponential decay of radioiodine activity on the other. To the best of our knowledge, the MN-Tf-Ret test was applied in the present study for the first time in biological dosimetry.},
  subject      = {T-Lymphozyten-Rezeptor},
  language  = {en}
}