Immunoconiugati contenenti tossine vegetali o siRNA per la deplezione selettiva di cellule leucemiche. Preparazione, citotossicità e studi di mutagenesi sito-specifica.

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.

Enabling a direct path from end-user specifications to executable protocols in a biology laboratory environment

Biomedical analyses are becoming increasingly complex, with respect to both the type of the data to be produced and the procedures to be executed. This trend is expected to continue in the future. The development of information and protocol management systems that can sustain this challenge is therefore becoming an essential enabling factor for all actors in the field. The use of custom-built solutions that require the biology domain expert to acquire or procure software engineering expertise in the development of the laboratory infrastructure is not fully satisfactory because it incurs undesirable mutual knowledge dependencies between the two camps. We propose instead an infrastructure concept that enables the domain experts to express laboratory protocols using proper domain knowledge, free from the incidence and mediation of the software implementation artefacts. In the system that we propose this is made possible by basing the modelling language on an authoritative domain specific ontology and then using modern model-driven architecture technology to transform the user models in software artefacts ready for execution in a multi-agent based execution platform specialized for biomedical laboratories.

Design And Implementation Of An End-To-End Simulator For The BepiColombo Rotation Experiment

Among the scientific objectives addressed by the Radio Science Experiment hosted on board the ESA mission BepiColombo is the retrieval of the rotational state of planet Mercury. In fact, the estimation of the obliquity and the librations amplitude were proven to be fundamental for constraining the interior composition of Mercury. This is accomplished by the Mercury Orbiter Radio science Experiment (MORE) via a strict interaction among different payloads thus making the experiment particularly challenging. The underlying idea consists in capturing images of the same landmark on the surface of the planet in different epochs in order to observe a displacement of the identified features with respect to a nominal rotation which allows to estimate the rotational parameters. Observations must be planned accurately in order to obtain image pairs carrying the highest information content for the following estimation process. This is not a trivial task especially in light of the several dynamical constraints involved. Another delicate issue is represented by the pattern matching process between image pairs for which the lowest correlation errors are desired. The research activity was conducted in the frame of the MORE rotation experiment and addressed the design and implementation of an end-to-end simulator of the experiment with the final objective of establishing an optimal science planning of the observations. In the thesis, the implementation of the singular modules forming the simulator is illustrated along with the simulations performed. The results obtained from the preliminary release of the optimization algorithm are finally presented although the software implemented is only at a preliminary release and will be improved and refined in the future also taking into account the developments of the mission.

Brain-Computer Interfaces for augmented communication: Asynchronous and adaptive algorithms and evaluation with end users

This thesis aimed at addressing some of the issues that, at the state of the art, avoid the P300-based brain computer interface (BCI) systems to move from research laboratories to end users’ home. An innovative asynchronous classifier has been defined and validated. It relies on the introduction of a set of thresholds in the classifier, and such thresholds have been assessed considering the distributions of score values relating to target, non-target stimuli and epochs of voluntary no-control. With the asynchronous classifier, a P300-based BCI system can adapt its speed to the current state of the user and can automatically suspend the control when the user diverts his attention from the stimulation interface. Since EEG signals are non-stationary and show inherent variability, in order to make long-term use of BCI possible, it is important to track changes in ongoing EEG activity and to adapt BCI model parameters accordingly. To this aim, the asynchronous classifier has been subsequently improved by introducing a self-calibration algorithm for the continuous and unsupervised recalibration of the subjective control parameters. Finally an index for the online monitoring of the EEG quality has been defined and validated in order to detect potential problems and system failures. This thesis ends with the description of a translational work involving end users (people with amyotrophic lateral sclerosis-ALS). Focusing on the concepts of the user centered design approach, the phases relating to the design, the development and the validation of an innovative assistive device have been described. The proposed assistive technology (AT) has been specifically designed to meet the needs of people with ALS during the different phases of the disease (i.e. the degree of motor abilities impairment). Indeed, the AT can be accessed with several input devices either conventional (mouse, touchscreen) or alterative (switches, headtracker) up to a P300-based BCI.