5 resultados para electrophoretic mobility

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


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Transmissible spongiform encephalopathies (TSE) are neurodegenerative diseases caused by the conversion of the host-encoded cellular protein (PrPC) to a disease-associated isoform (PrPSc). The agent responsible for prion diseases may exist as different strains with specific biological and biochemical properties. According to the protein-only hypothesis, prion strain diversity is enciphered in PrPSc conformation. Molecular strain typing methods are based on the electrophoretic mobility of protease resistant core of PrPSc, on the susceptibility to protease digestion, on the glycosylation profile of PrPres and on the conformational stability of PrPSc. In this study a new conformational stability assay was developed based on the differential solubility of PrPC and PrPSc: CSSA (conformational stability and solubility assay). The conformational stability assay was performed by measuring PrPSc solubility in homogenates treated with increasing concentrations of GdnHCl, in the absence of proteinase K. Indeed, dose-response curves allowed estimation of the concentration of GdnHCl able to solubilise 50% of PrPSc. The results showed that this method is valuable for the biochemical typing of strains in bank voles and it is also a promising tool for molecular analysis of natural prion isolates. CSSA also revealed strain-specific PrPSc conformational stabilities of ovine natural isolates so that this feature, combined with the N-terminal PrPSc cleavage, allowed differentiation of classical scrapie, including CH1641-like, from natural goat BSE and experimental sheep BSE. In view of the implications concerning strain similarity between animal and human TSEs, the physico-chemical properties of the Nor98 with two human prion diseases (VPSPr and GSS) were compared in order to investigate the extent of the similarity between animal and human prion strains. The results showed an unexpected heterogeneity of the molecular features among human and sheep TSEs associated with internal PrPres fragments with the possible exception of Nor98 and a case of GSS P102L. These similarities and differences need further investigation by N- and C-terminal sequencing and biological characterization.

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CD33 is a myeloid cell surface marker absent on normal hematopoietic stem cells and normal tissues but present on leukemic blasts in 90% of adult and paediatric acute myeloid leukaemia (AML) cases. By virtue of its expression pattern and its ability to be rapidly internalized after antibody binding, CD33 has become an attractive target for new immunotherapeutic approaches to treat AML. In this study two immunoconjugates were constructed to contain a humanised single-chain fragment variable antibody (scFv) against CD33 in order to create new antibody-derived therapeutics for AML. The first immunoconjugate was developed to provide targeted delivery of siRNAs as death effectors into leukemic cells. To this purpose, a CD33-specific scFv, modified to include a Cys residue at its C-terminal end (scFvCD33-Cys), was coupled through a disulphide bridge to a nona-d-arginine (9R) peptide carrying a free Cys to the N-terminal. The scFvCD33-9R was able to completely bind siRNAs at a protein to nucleic acid ratio of about 10:1, as confirmed by electrophoretic gel mobility-shift assay. The conjugate was unable to efficiently transduce cytotoxic siRNA (siTox) into the human myeloid cell line U937. We observed slight reductions in cell viability, with a reduction of 25% in comparison to the control group only at high concentration of siTox (300 nM). The second immunoconjugate was constructed by coupling the scFvCD33-Cys to the type 1 ribosome inactivating protein Dianthin 30 (DIA30) through a chemical linking The resulting immunotoxin scFvCD33-DIA30 caused the rapid arrest of protein synthesis, inducing apoptosis and leading ultimately to cell death. In vitro dose-dependent cytotoxicity assays demonstrated that scFvCD33-DIA30 was specifically toxic to CD33-positive cell U937. The concentration needed to reach 50 % of maximum killing efficiency (EC50) was approximately 0.3 nM. The pronounced antigen-restricted cytotoxicity of this novel agent makes it a candidate for further evaluation of its therapeutic potential.

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Tracking activities during daily life and assessing movement parameters is essential for complementing the information gathered in confined environments such as clinical and physical activity laboratories for the assessment of mobility. Inertial measurement units (IMUs) are used as to monitor the motion of human movement for prolonged periods of time and without space limitations. The focus in this study was to provide a robust, low-cost and an unobtrusive solution for evaluating human motion using a single IMU. First part of the study focused on monitoring and classification of the daily life activities. A simple method that analyses the variations in signal was developed to distinguish two types of activity intervals: active and inactive. Neural classifier was used to classify active intervals; the angle with respect to gravity was used to classify inactive intervals. Second part of the study focused on extraction of gait parameters using a single inertial measurement unit (IMU) attached to the pelvis. Two complementary methods were proposed for gait parameters estimation. First method was a wavelet based method developed for the estimation of gait events. Second method was developed for estimating step and stride length during level walking using the estimations of the previous method. A special integration algorithm was extended to operate on each gait cycle using a specially designed Kalman filter. The developed methods were also applied on various scenarios. Activity monitoring method was used in a PRIN’07 project to assess the mobility levels of individuals living in a urban area. The same method was applied on volleyball players to analyze the fitness levels of them by monitoring their daily life activities. The methods proposed in these studies provided a simple, unobtrusive and low-cost solution for monitoring and assessing activities outside of controlled environments.

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In this thesis, we extend some ideas of statistical physics to describe the properties of human mobility. By using a database containing GPS measures of individual paths (position, velocity and covered space at a spatial scale of 2 Km or a time scale of 30 sec), which includes the 2% of the private vehicles in Italy, we succeed in determining some statistical empirical laws pointing out "universal" characteristics of human mobility. Developing simple stochastic models suggesting possible explanations of the empirical observations, we are able to indicate what are the key quantities and cognitive features that are ruling individuals' mobility. To understand the features of individual dynamics, we have studied different aspects of urban mobility from a physical point of view. We discuss the implications of the Benford's law emerging from the distribution of times elapsed between successive trips. We observe how the daily travel-time budget is related with many aspects of the urban environment, and describe how the daily mobility budget is then spent. We link the scaling properties of individual mobility networks to the inhomogeneous average durations of the activities that are performed, and those of the networks describing people's common use of space with the fractional dimension of the urban territory. We study entropy measures of individual mobility patterns, showing that they carry almost the same information of the related mobility networks, but are also influenced by a hierarchy among the activities performed. We discover that Wardrop's principles are violated as drivers have only incomplete information on traffic state and therefore rely on knowledge on the average travel-times. We propose an assimilation model to solve the intrinsic scattering of GPS data on the street network, permitting the real-time reconstruction of traffic state at a urban scale.