Computational methods for genome screening

Motivation An actual issue of great interest, both under a theoretical and an applicative perspective, is the analysis of biological sequences for disclosing the information that they encode. The development of new technologies for genome sequencing in the last years, opened new fundamental problems since huge amounts of biological data still deserve an interpretation. Indeed, the sequencing is only the first step of the genome annotation process that consists in the assignment of biological information to each sequence. Hence given the large amount of available data, in silico methods became useful and necessary in order to extract relevant information from sequences. The availability of data from Genome Projects gave rise to new strategies for tackling the basic problems of computational biology such as the determination of the tridimensional structures of proteins, their biological function and their reciprocal interactions. Results The aim of this work has been the implementation of predictive methods that allow the extraction of information on the properties of genomes and proteins starting from the nucleotide and aminoacidic sequences, by taking advantage of the information provided by the comparison of the genome sequences from different species. In the first part of the work a comprehensive large scale genome comparison of 599 organisms is described. 2,6 million of sequences coming from 551 prokaryotic and 48 eukaryotic genomes were aligned and clustered on the basis of their sequence identity. This procedure led to the identification of classes of proteins that are peculiar to the different groups of organisms. Moreover the adopted similarity threshold produced clusters that are homogeneous on the structural point of view and that can be used for structural annotation of uncharacterized sequences. The second part of the work focuses on the characterization of thermostable proteins and on the development of tools able to predict the thermostability of a protein starting from its sequence. By means of Principal Component Analysis the codon composition of a non redundant database comprising 116 prokaryotic genomes has been analyzed and it has been showed that a cross genomic approach can allow the extraction of common determinants of thermostability at the genome level, leading to an overall accuracy in discriminating thermophilic coding sequences equal to 95%. This result outperform those obtained in previous studies. Moreover, we investigated the effect of multiple mutations on protein thermostability. This issue is of great importance in the field of protein engineering, since thermostable proteins are generally more suitable than their mesostable counterparts in technological applications. A Support Vector Machine based method has been trained to predict if a set of mutations can enhance the thermostability of a given protein sequence. The developed predictor achieves 88% accuracy.

Development of screening assays to test novel integrin antagonists in allergic inflammation

Aim of the research: to develop a prototype of homogeneous high-throughput screening (HTS) for identification of novel integrin antagonists for the treatment of ocular allergy and to better understand the mechanisms of action of integrin-mediated levocabastine antiallergic action. Results: This thesis provides evidence that adopting scintillation proximity assay (SPA) levocabastine (IC50=406 mM), but not the first-generation antihistamine chlorpheniramine, displaces [125I]fibronectin (FN) binding to human a4b1 integrin. This result is supported by flow cytometry analysis, where levocabastine antagonizes the binding of a primary antibody to integrin a4 expressed in Jurkat E6.1 cells. Levocabastine, but not chlorpheniramine, binds to a4b1 integrin and prevents eosinophil adhesion to VCAM-1, FN or human umbilical vein endothelial cells (HUVEC) cultured in vitro. Similarly, levocabastine affects aLb2/ICAM-1-mediated adhesion of Jurkat E6.1 cells. Analyzing the supernatant of TNF-a-treated (24h) eosinophilic cells (EoL-1), we report that levocabastine reduces the TNF-a-induced release of the cytokines IL-12p40, IL-8 and VEGF. Finally, in a model of allergic conjunctivitis, levocastine eye drops (0.05%) reduced the clinical aspects of the early and late phase reactions and the conjunctival expression of a4b1 integrin by reducing infiltrated eosinophils. Conclusions: SPA is a highly efficient, amenable to automation and robust binding assay to screen novel integrin antagonists in a HTS setting. We propose that blockade of integrinmediated cell adhesion might be a target of the anti-allergic action of levocabastine and may play a role in preventing eosinophil adhesion and infiltration in allergic conjunctivitis.

Anticancer drug screening from images of zebrafish embryogenesis

During the previous 10 years, global R&D expenditure in the pharmaceuticals and biotechnology sector has steadily increased, without a corresponding increase in output of new medicines. To address this situation, the biopharmaceutical industry's greatest need is to predict the failures at the earliest possible stage of the drug development process. A major key to reducing failures in drug screenings is the development and use of preclinical models that are more predictive of efficacy and safety in clinical trials. Further, relevant animal models are needed to allow a wider testing of novel hypotheses. Key to this is the developing, refining, and validating of complex animal models that directly link therapeutic targets to the phenotype of disease, allowing earlier prediction of human response to medicines and identification of safety biomarkers. Morehover, well-designed animal studies are essential to bridge the gap between test in cell cultures and people. Zebrafish is emerging, complementary to other models, as a powerful system for cancer studies and drugs discovery. We aim to investigate this research area designing a new preclinical cancer model based on the in vivo imaging of zebrafish embryogenesis. Technological advances in imaging have made it feasible to acquire nondestructive in vivo images of fluorescently labeled structures, such as cell nuclei and membranes, throughout early Zebrafishsh embryogenesis. This In vivo image-based investigation provides measurements for a large number of features at cellular level and events including nuclei movements, cells counting, and mitosis detection, thereby enabling the estimation of more significant parameters such as proliferation rate, highly relevant for investigating anticancer drug effects. In this work, we designed a standardized procedure for accessing drug activity at the cellular level in live zebrafish embryos. The procedure includes methodologies and tools that combine imaging and fully automated measurements of embryonic cell proliferation rate. We achieved proliferation rate estimation through the automatic classification and density measurement of epithelial enveloping layer and deep layer cells. Automatic embryonic cells classification provides the bases to measure the variability of relevant parameters, such as cell density, in different classes of cells and is finalized to the estimation of efficacy and selectivity of anticancer drugs. Through these methodologies we were able to evaluate and to measure in vivo the therapeutic potential and overall toxicity of Dbait and Irinotecan anticancer molecules. Results achieved on these anticancer molecules are presented and discussed; furthermore, extensive accuracy measurements are provided to investigate the robustness of the proposed procedure. Altogether, these observations indicate that zebrafish embryo can be a useful and cost-effective alternative to some mammalian models for the preclinical test of anticancer drugs and it might also provides, in the near future, opportunities to accelerate the process of drug discovery.

Valutazione dell’impiego dei test per la genotipizzazione di HPV e l’espressione degli oncogeni virali nel follow-up di donne conizzate per lesioni cervicali di alto grado nello screening del cervico-carcinoma della Regione Emilia-Romagna

Obiettivi: Valutare la prevalenza dei diversi genotipi di HPV in pazienti con diagnosi di CIN2/3 nella Regione Emilia-Romagna, la persistenza genotipo-specifica di HPV e l’espressione degli oncogeni virali E6/E7 nel follow-up post-trattamento come fattori di rischio di recidiva/persistenza o progressione di malattia; verificare l’applicabilità di nuovi test diagnostici biomolecolari nello screening del cervicocarcinoma. Metodi: Sono state incluse pazienti con citologia di screening anormale, sottoposte a trattamento escissionale (T0) per diagnosi di CIN2/3 su biopsia mirata. Al T0 e durante il follow-up a 6, 12, 18 e 24 mesi, oltre al Pap test e alla colposcopia, sono state effettuate la ricerca e la genotipizzazione dell'HPV DNA di 28 genotipi. In caso di positività al DNA dei 5 genotipi 16, 18, 31, 33 e/o 45, si è proceduto alla ricerca dell'HPV mRNA di E6/E7. Risultati preliminari: Il 95.8% delle 168 pazienti selezionate è risultato HPV DNA positivo al T0. Nel 60.9% dei casi le infezioni erano singole (prevalentemente da HPV 16 e 31), nel 39.1% erano multiple. L'HPV 16 è stato il genotipo maggiormente rilevato (57%). Il 94.3% (117/124) delle pazienti positive per i 5 genotipi di HPV DNA sono risultate mRNA positive. Abbiamo avuto un drop-out di 38/168 pazienti. A 18 mesi (95% delle pazienti) la persistenza dell'HPV DNA di qualsiasi genotipo era del 46%, quella dell'HPV DNA dei 5 genotipi era del 39%, con espressione di mRNA nel 21%. Abbiamo avuto recidiva di malattia (CIN2+) nel 10.8% (14/130) a 18 mesi. Il pap test era negativo in 4/14 casi, l'HPV DNA test era positivo in tutti i casi, l'mRNA test in 11/12 casi. Conclusioni: L'HR-HPV DNA test è più sensibile della citologia, l'mRNA test è più specifico nell'individuare una recidiva. I dati definitivi saranno disponibili al termine del follow-up programmato.

Computational strategies to include protein flexibility in Ligand Docking and Virtual Screening

The dynamic character of proteins strongly influences biomolecular recognition mechanisms. With the development of the main models of ligand recognition (lock-and-key, induced fit, conformational selection theories), the role of protein plasticity has become increasingly relevant. In particular, major structural changes concerning large deviations of protein backbones, and slight movements such as side chain rotations are now carefully considered in drug discovery and development. It is of great interest to identify multiple protein conformations as preliminary step in a screening campaign. Protein flexibility has been widely investigated, in terms of both local and global motions, in two diverse biological systems. On one side, Replica Exchange Molecular Dynamics has been exploited as enhanced sampling method to collect multiple conformations of Lactate Dehydrogenase A (LDHA), an emerging anticancer target. The aim of this project was the development of an Ensemble-based Virtual Screening protocol, in order to find novel potent inhibitors. On the other side, a preliminary study concerning the local flexibility of Opioid Receptors has been carried out through ALiBERO approach, an iterative method based on Elastic Network-Normal Mode Analysis and Monte Carlo sampling. Comparison of the Virtual Screening performances by using single or multiple conformations confirmed that the inclusion of protein flexibility in screening protocols has a positive effect on the probability to early recognize novel or known active compounds.

Pharmacological screening and biotecnological production of alkaloids from tissues and cells cultured by plants of the Amaryllidaceae family.

In this work particular attention was given to the study of secondary metabolites produced by some plants belonging to the Amaryllidaceae family, in the specific case isoquinoline alkaloids. At the first instance were characterized both qualitatively and quantitatively three different plants belonging to Amaryllidaceae family, such as: Crinum angustum Steud., Pancratium illyricum L., and Leucojum nicaeense Ard. The alkaloids extracts obtained were separately tested against enzymes involved in specific diseases or liable in multifactorial pathologies, like: MMPs, AChE,and PPO. From leaves extract of P.illyricum was isolated a new compound, 11α-hydroxy-O-methylleucotamine, with important role in AChE inbition. Considering the protection role against external bodies carried out by these metabolites in plant, extracts were also assayed against ATCC microorganisms and clinical isolates. Plants with promising pharmacological activities have been the basis for development of in vitro plant models.