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Antibody Microarray Expression Profiling Of Maize Roots Treated With Cadmium And Nickel

Biology , vol. 22 , pp. 720–727. DESCLOS, M. – DUBOUSSET, L. – ETIENE, P. – LE CAHEREC, F. – SATOH, H. – BONNEFOY, J. – OURRY, A. – AVICE, J.C. 2008. A proteome profiling approach to reveal a novel role of Brassica napus drought 22kD/water-soluble chlorophyll-binding protein in young leaves during nitrogen remobilization induced by stressful conditions. In Plant Physiology , vol. 147 , pp. 1830–1844. DI TOPPI, L.S. & GABBRIELI, R. 1999. Response to cadmium in higher plants. In Environmental Experimental Botany , vol. 41 , pp. 105–130. DIXIT, P

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Direct localised measurement of electrical resistivity profile in rat and embryonic chick retinas using a microprobe

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

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Profiling a set of personality traits of text author: what our words reveal about us

References Angst, J. and P. Clayton. 1986. Premorbid Personality of Depressive, Bipolar, and Schizophrenic Patients with Special Reference to Suicidal Issues. Comprehensive Psychiatry 27(6). 511‒532. Argamon, S. et al. 2009. Automatically profiling the author of an anonymous text. Communications of the ACM 52(2). 119‒123. Baddeley, J. L., Daniel, G. R. and J. W. Pennebaker. 2011. How Henry Hellyer’s Use of Language Foretold His Suicide. Crisis 32 (5). 288‒292. Bloom, L. R. et al. 1994. Hemispheric Responsibility and Discourse

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Loop profiling tool for HPC code inspection as an efficient method of FPGA based acceleration

://www.mitrion.com Moseley, T., Grunwald, D., Connors, A., Ramanujam, R., Tovinkere, V. and Peri R. (2006). LoopProf: Dynamic techniques for loop detection and profiling, Proceedings of the 2006 Workshop on Binary Instrumentation and Applications, WBIA, Lund, Sweden. Pietroń, M., Wiatr, K. and Russek, P. (2007(a)). Methodology of computing acceleration using reconfigurable logic technology in high performance computing, University of Science and Technology in Cracow Automatica, 2007 , pp. 149-156. Pietroń, M., Russek, P., Wiatr, K

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Gleaning a Human DNA Profile from Trace Swabs Collected from Animal Hairs

References 1. Roewer L: DNA fingerprinting in forensics: past, present, future. Investig Genet 2013, 4:22. 2. Merck MD: Special considerations in animal cruelty cases. In: Veterinary Forensics: Animal cruelty investigations. Ames, Iowa, USA: Blackwell Publishing; 2007, 59-78. 3. Brauner P, Reshef A, Gorski A: DNA profiling of trace evidence - Mitigating evidence in a dog biting case. J Forensic Sci 2001, 46:1232-1234. 4. Merck MD: Animal fighting. In: Veterinary Forensics: Animal cruelty

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Transcriptomic profiling of peripheral blood nucleated cells in dogs with and without clinical signs of chronic mitral valve disease

Abstract

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.

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Machine learning techniques combined with dose profiles indicate radiation response biomarkers

Abstract

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.

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Liquid Chromatography Metabolite Profiling of Tenofovir Disoproxil Fumarate

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.

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Closer to the Truth:
DNA profiling for family reunification and the rationales of immigration policy in Finland

governance of DNA profiling and databasing , Cambridge University Press, Cambridge. Holland, E 2011, ‘Moving the virtual border to the cellular level: mandatory DNA testing and the U.S. Refugee Family Reunification Program’, California Law Review , vol. 99, no. 6, pp. 1635-1681. Honahan, I 2009, ‘Reconsidering the claim to family reunification in migration’, Political Studies , vol. 57, no. 4, pp. 768-787. Hyusmans, J 2000, ‘The European Union and the securitization of migration’, Journal of Common Market Studies , vol. 38

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Characterization of genes expressed in Casuarina equisetifolia in response to elicitation by cell wall components of Trichosporium vesiculosum

References 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

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