Vladimír Repka, Roderik Fiala, Milada Čiamporová, Michal Martinka and Ján Pavlovkin
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Harsha Kasi, Robert Meissner, Alexandre Babalian, Harald van Lintel, Arnaud Bertsch and Philippe Renaud
local electroretinograms ( 5 ) and current source density analysis ( 6 ). Researchers mainly used the four-terminal (tetrapolar) method to measure the resistivity profiles in the depth of the retina. Double-barrelled ( 6 ) and concentric ( 5 ) glass micropipettes have been employed as the pick-up electrodes previously. Tetrapolar measurements require a complicated setup due to additional electronics (such as front-end amplifier, current injection electrodes, etc.) and retina sealing issues (in ex vivo eyecup based experiments). These experimental setups operated in
Tatiana Litvinova, Pavel Seredin, Olga Litvinova and Olga Zagorovskaya
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Pietroń, M., Russek, P., Wiatr, K
Magdalena Garncarz, Magdalena Hulanicka, Marta Parzeniecka-Jaworska, Jacek Garncarz and Michał Jank
The aim of the study was to demonstrate differences in the gene expression of signalling pathways between healthy dogs and dogs with chronic mitral valve disease in different heart failure groups. Blood samples were collected from 49 dogs of various breeds between 1.4 and 15.2 years of age. Isolated RNA samples were analysed for quality and integrity and the gene expression profile was determined. The study demonstrated that nucleated cells from peripheral blood can be used to assess the status of heart failure in dogs. Furthermore, significant differences in the expression of the genes were noticed between healthy dogs and dogs with clinical signs of chronic mitral valve disease. This is a preliminary non-invasive study showing the feasibility of genetic testing from peripheral blood nucleated cells, which at the same time has made it possible to set the future directions of genetic studies in clinical cases of canine chronic mitral valve disease.
The focus of this research is to combine statistical and machine learning tools in application to a high-throughput biological data set on ionizing radiation response. The analyzed data consist of two gene expression sets obtained in studies of radiosensitive and radioresistant breast cancer patients undergoing radiotherapy. The data sets were similar in principle; however, the treatment dose differed. It is shown that introducing mathematical adjustments in data preprocessing, differentiation and trend testing, and classification, coupled with current biological knowledge, allows efficient data analysis and obtaining accurate results. The tools used to customize the analysis workflow were batch effect filtration with empirical Bayes models, identifying gene trends through the Jonckheere–Terpstra test and linear interpolation adjustment according to specific gene profiles for multiple random validation. The application of non-standard techniques enabled successful sample classification at the rate of 93.5% and the identification of potential biomarkers of radiation response in breast cancer, which were confirmed with an independent Monte Carlo feature selection approach and by literature references. This study shows that using customized analysis workflows is a necessary step towards novel discoveries in complex fields such as personalized individual therapy.
Liquid Chromatography Metabolite Profiling of Tenofovir Disoproxil Fumarate
Reverse transcriptase inhibitors are the most frequently prescribed agents for HIV infections. This publication presents a validated, highly sensitive and selective isocratic HPLC method for the quantitative determination of tenofovir disoproxil fumarate and its metabolite tenofovir. Detection was performed on a UV detector. The linearity for the calibration curve in the concentration range of 80-20400 ng/mL for tenofovir disoproxil fumarate (TENDF) and 10-2560 ng/mL for tenofovir (TEN) is presented. Inter- and intra-day precision and accuracy of the proposed method were characterised by relative standard deviation (R.S.D.) and percentage deviation, respectively: with both lower than 4% for all analytes. The limit of detection was 33.46 ng/mL for TENDF and 2.10 ng/mL for TEN.
DNA profiling for family reunification and the rationales of immigration policy in Finland
llpo Helén and Anna-Maria Tapaninen
governance of DNA profiling and databasing , Cambridge University Press, Cambridge.
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Ghosh Dasgupta Modhumita, Veluthakkal Radha and Raja Sundari B. Karpaga
ADOMAS, A., G. HELLER, G. LI, A. OLSON, T. M. CHU, J. OSBORNE, D. CRAIG, L. VAN ZYL, R. WOLFINGER, R. SEDEROFF, R. A. DEAN, J. STENLID, R. FINLAY and F. O. ASIEGBU (2007): Transcript profiling of a conifer pathosystem: response of Pinus sylvestris root tissues to pathogen (Heterobasidion annosum) invasion. Tree Physiol 27: 1441-1458.
ANDJELKOVIC, V. and R. THOMPSON (2006): Changes in gene expression in maize kernel in response to water and salt stress. Plant Cell Rep 25: 71-79.
ASAHI, T., Y. HONDA and