Advances in stem cell biology have challenged the notion that infarcted myocardium is irreparable. The pluripotent ability of stem cells to differentiate into specialized cell lines began to garner intense interest within cardiology when it was shown in animal models that intramyocardial injection of bone marrow stem cells (MSCs), or the mobilization of bone marrow stem cells with spontaneous homing to myocardium, could improve cardiac function and survival after induced myocardial infarction (MI) [1, 2]. Furthermore, the existence of stem cells in myocardium has been identified in animal heart [3, 4], and intense research is under way in an attempt to clarify their potential clinical application for patients with myocardial infarction. To date, in order to identify the best one, different kinds of stem cells have been studied; these have been derived from embryo or adult tissues (i.e. bone marrow, heart, peripheral blood etc.). Currently, three different biologic therapies for cardiovascular diseases are under investigation: cell therapy, gene therapy and the more recent “tissue-engineering” therapy . During my Ph.D. course, first I focalised my study on the isolation and characterization of Cardiac Stem Cells (CSCs) in wild-type and transgenic mice and for this purpose I attended, for more than one year, the Cardiovascular Research Institute of the New York Medical College, in Valhalla (NY, USA) under the direction of Doctor Piero Anversa. During this period I learnt different Immunohistochemical and Biomolecular techniques, useful for investigating the regenerative potential of stem cells. Then, during the next two years, I studied the new approach of cardiac regenerative medicine based on “tissue-engineering” in order to investigate a new strategy to regenerate the infracted myocardium. Tissue-engineering is a promising approach that makes possible the creation of new functional tissue to replace lost or failing tissue. This new discipline combines isolated functioning cells and biodegradable 3-dimensional (3D) polymeric scaffolds. The scaffold temporarily provides the biomechanical support for the cells until they produce their own extracellular matrix. Because tissue-engineering constructs contain living cells, they may have the potential for growth and cellular self-repair and remodeling. In the present study, I examined whether the tissue-engineering strategy within hyaluron-based scaffolds would result in the formation of alternative cardiac tissue that could replace the scar and improve cardiac function after MI in syngeneic heterotopic rat hearts. Rat hearts were explanted, subjected to left coronary descending artery occlusion, and then grafted into the abdomen (aorta-aorta anastomosis) of receiving syngeneic rat. After 2 weeks, a pouch of 3 mm2 was made in the thickness of the ventricular wall at the level of the post-infarction scar. The hyaluronic scaffold, previously engineered for 3 weeks with rat MSCs, was introduced into the pouch and the myocardial edges sutured with few stitches. Two weeks later we evaluated the cardiac function by M-Mode echocardiography and the myocardial morphology by microscope analysis. We chose bone marrow-derived mensenchymal stem cells (MSCs) because they have shown great signaling and regenerative properties when delivered to heart tissue following a myocardial infarction (MI). However, while the object of cell transplantation is to improve ventricular function, cardiac cell transplantation has had limited success because of poor graft viability and low cell retention, that’s why we decided to combine MSCs with a biopolimeric scaffold. At the end of the experiments we observed that the hyaluronan fibres had not been substantially degraded 2 weeks after heart-transplantation. Most MSCs had migrated to the surrounding infarcted area where they were especially found close to small-sized vessels. Scar tissue was moderated in the engrafted region and the thickness of the corresponding ventricular wall was comparable to that of the non-infarcted remote area. Also, the left ventricular shortening fraction, evaluated by M-Mode echocardiography, was found a little bit increased when compared to that measured just before construct transplantation. Therefore, this study suggests that post-infarction myocardial remodelling can be favourably affected by the grafting of MSCs delivered through a hyaluron-based scaffold

No description available.

The Clusterin (CLU) gene produces different forms of protein products which vary in their biological properties and distribution within the cell. Both the extra- and intracellular CLU forms regulate cell proliferation and apoptosis. Dis-regulation of CLU expression occurs in many cancer types, including prostate cancer. The role that CLU plays in tumorigenesis is still unclear. We found that CLU over-expression inhibited cell proliferation and induced apoptosis in prostate cancer cells. Here we show that depletion of CLU affects the growth of PC-3 prostate cancer cells. Following siRNA, all protein products quickly disappeared, inducing cell cycle progression and higher expression of specific proliferation markers (i.e. H3 mRNA, PCNA and cyclins A, B1 and D) as detected by RT-qPCR and Western blot. Quite surprisingly, we also found that the turnover of CLU protein is very rapid and tightly regulated by ubiquitin–proteasome mediated degradation. Inhibition of protein synthesis by cycloheximide showed that CLU half-life is less than 2 hours. All CLU protein products were found poly-ubiquitinated by co-immuniprecipitation. Proteasome inhibition by MG132 caused stabilization and accumulation of all CLU protein products, strongly inducing the nuclear form of CLU (nCLU) and committing cells to caspase-dependent death. In conclusion, proteasome inhibition may induce prostate cancer cell death through accumulation of nCLU, a potential tumour suppressor factor.

This thesis is focused on the metabolomic study of human cancer tissues by ex vivo High Resolution-Magic Angle Spinning (HR-MAS) nuclear magnetic resonance (NMR) spectroscopy. This new technique allows for the acquisition of spectra directly on intact tissues (biopsy or surgery), and it has become very important for integrated metabonomics studies. The objective is to identify metabolites that can be used as markers for the discrimination of the different types of cancer, for the grading, and for the assessment of the evolution of the tumour. Furthermore, an attempt to recognize metabolites, that although involved in the metabolism of tumoral tissues in low concentration, can be important modulators of neoplastic proliferation, was performed. In addition, NMR data was integrated with statistical techniques in order to obtain semi-quantitative information about the metabolite markers. In the case of gliomas, the NMR study was correlated with gene expression of neoplastic tissues. Chapter 1 begins with a general description of a new “omics” study, the metabolomics. The study of metabolism can contribute significantly to biomedical research and, ultimately, to clinical medical practice. This rapidly developing discipline involves the study of the metabolome: the total repertoire of small molecules present in cells, tissues, organs, and biological fluids. Metabolomic approaches are becoming increasingly popular in disease diagnosis and will play an important role on improving our understanding of cancer mechanism. Chapter 2 addresses in more detail the basis of NMR Spectroscopy, presenting the new HR-MAS NMR tool, that is gaining importance in the examination of tumour tissues, and in the assessment of tumour grade. Some advanced chemometric methods were used in an attempt to enhance the interpretation and quantitative information of the HR-MAS NMR data are and presented in chapter 3. Chemometric methods seem to have a high potential in the study of human diseases, as it permits the extraction of new and relevant information from spectroscopic data, allowing a better interpretation of the results. Chapter 4 reports results obtained from HR-MAS NMR analyses performed on different brain tumours: medulloblastoma, meningioms and gliomas. The medulloblastoma study is a case report of primitive neuroectodermal tumor (PNET) localised in the cerebellar region by Magnetic Resonance Imaging (MRI) in a 3-year-old child. In vivo single voxel 1H MRS shows high specificity in detecting the main metabolic alterations in the primitive cerebellar lesion; which consist of very high amounts of the choline-containing compounds and of very low levels of creatine derivatives and N-acetylaspartate. Ex vivo HR-MAS NMR, performed at 9.4 Tesla on the neoplastic specimen collected during surgery, allows the unambiguous identification of several metabolites giving a more in-depth evaluation of the metabolic pattern of the lesion. The ex vivo HR-MAS NMR spectra show higher detail than that obtained in vivo. In addition, the spectroscopic data appear to correlate with some morphological features of the medulloblastoma. The present study shows that ex vivo HR-MAS 1H NMR is able to strongly improve the clinical possibility of in vivo MRS and can be used in conjunction with in vivo spectroscopy for clinical purposes. Three histological subtypes of meningiomas (meningothelial, fibrous and oncocytic) were analysed both by in vivo and ex vivo MRS experiments. The ex vivo HR-MAS investigations are very helpful for the assignment of the in vivo resonances of human meningiomas and for the validation of the quantification procedure of in vivo MR spectra. By using one- and two dimensional experiments, several metabolites in different histological subtypes of meningiomas, were identified. The spectroscopic data confirmed the presence of the typical metabolites of these benign neoplasms and, at the same time, that meningomas with different morphological characteristics have different metabolic profiles, particularly regarding macromolecules and lipids. The profile of total choline metabolites (tCho) and the expression of the Kennedy pathway genes in biopsies of human gliomas were also investigated using HR-MAS NMR, and microfluidic genomic cards. 1H HR-MAS spectra, allowed the resolution and relative quantification by LCModel of the resonances from choline (Cho), phosphorylcholine (PC) and glycerolphorylcholine (GPC), the three main components of the combined tCho peak observed in gliomas by in vivo 1H MRS spectroscopy. All glioma biopsies depicted an increase in tCho as calculated from the addition of Cho, PC and GPC HR-MAS resonances. However, the increase was constantly derived from augmented GPC in low grade NMR gliomas or increased PC content in the high grade gliomas, respectively. This circumstance allowed the unambiguous discrimination of high and low grade gliomas by 1H HR-MAS, which could not be achieved by calculating the tCho/Cr ratio commonly used by in vivo 1H MR spectroscopy. The expression of the genes involved in choline metabolism was investigated in the same biopsies. The present findings offer a convenient procedure to classify accurately glioma grade using 1H HR-MAS, providing in addition the genetic background for the alterations of choline metabolism observed in high and low gliomas grade. Chapter 5 reports the study on human gastrointestinal tract (stomach and colon) neoplasms. The human healthy gastric mucosa, and the characteristics of the biochemical profile of human gastric adenocarcinoma in comparison with that of healthy gastric mucosa were analyzed using ex vivo HR-MAS NMR. Healthy human mucosa is mainly characterized by the presence of small metabolites (more than 50 identified) and macromolecules. The adenocarcinoma spectra were dominated by the presence of signals due to triglycerides, that are usually very low in healthy gastric mucosa. The use of spin-echo experiments enable us to detect some metabolites in the unhealthy tissues and to determine their variation with respect to the healthy ones. Then, the ex vivo HR-MAS NMR analysis was applied to human gastric tissue, to obtain information on the molecular steps involved in the gastric carcinogenesis. A microscopic investigation was also carried out in order to identify and locate the lipids in the cellular and extra-cellular environments. Correlation of the morphological changes detected by transmission (TEM) and scanning (SEM) electron microscopy, with the metabolic profile of gastric mucosa in healthy, gastric atrophy autoimmune diseases (AAG), Helicobacter pylori-related gastritis and adenocarcinoma subjects, were obtained. These ultrastructural studies of AAG and gastric adenocarcinoma revealed lipid intra- and extra-cellularly accumulation associated with a severe prenecrotic hypoxia and mitochondrial degeneration. A deep insight into the metabolic profile of human healthy and neoplastic colon tissues was gained using ex vivo HR-MAS NMR spectroscopy in combination with multivariate methods: Principal Component Analysis (PCA) and Partial Least Squares Discriminant Analysis (PLS-DA). The NMR spectra of healthy tissues highlight different metabolic profiles with respect to those of neoplastic and microscopically normal colon specimens (these last obtained at least 15 cm far from the adenocarcinoma). Furthermore, metabolic variations are detected not only for neoplastic tissues with different histological diagnosis, but also for those classified identical by histological analysis. These findings suggest that the same subclass of colon carcinoma is characterized, at a certain degree, by metabolic heterogeneity. The statistical multivariate approach applied to the NMR data is crucial in order to find metabolic markers of the neoplastic state of colon tissues, and to correctly classify the samples. Significant different levels of choline containing compounds, taurine and myoinositol, were observed. Chapter 6 deals with the metabolic profile of normal and tumoral renal human tissues obtained by ex vivo HR-MAS NMR. The spectra of human normal cortex and medulla show the presence of differently distributed osmolytes as markers of physiological renal condition. The marked decrease or disappearance of these metabolites and the high lipid content (triglycerides and cholesteryl esters) is typical of clear cell renal carcinoma (RCC), while papillary RCC is characterized by the absence of lipids and very high amounts of taurine. This research is a contribution to the biochemical classification of renal neoplastic pathologies, especially for RCCs, which can be evaluated by in vivo MRS for clinical purposes. Moreover, these data help to gain a better knowledge of the molecular processes envolved in the onset of renal carcinogenesis.

Nel presente lavoro di tesi sono state messe a confronto le ATP sintasi wild-type e γM23-K in cromatofori del batterio fotosintetico Rhodobacter capsulatus sotto gli aspetti funzionale e regolatorio. Si pensava inizialmente che la mutazione, in base a studi riportati in letteratura condotti sull’omologa mutazione in E. coli, avrebbe indotto disaccoppiamento intrinseco nell’enzima. Il presente lavoro ha chiarito che il principale effetto della mutazione è un significativo aumento dell’affinità dell’enzima per l’ADP inibitorio, che ne determina il ridotto livello di ATP idrolisi e la rapidissima reinattivazione in seguito ad attivazione da forza protonmotiva. Il residuo 23 della subunità γ si trova posizionato in prossimità della regione conservata DEELSED carica negativamente della subunità β, e l’introduzione nel mutante di una ulteriore carica positiva potrebbe determinare una maggiore richiesta di energia per indurre l’apertura del sito catalitico. Un’analisi quantitativa dei dati di proton pumping condotta mediante inibizione parziale dell’idrolisi del wildtype ha inoltre mostrato come il grado di accoppiamento del mutante in condizioni standard non differisca sostanzialmente da quello del wild-type. D’altro canto, è stato recentemente osservato come un disaccoppiamento intrinseco possa venire osservato in condizioni opportune anche nel wild-type, e cioè a basse concentrazioni di ADP e Pi. Nel presente lavoro di tesi si è dimostrato come nel mutante l’osservazione del fenomeno del disaccoppiamento intrinseco sia facilitata rispetto al wild-type. È stato proprio nell’ambito delle misure condotte sul mutante che è stato possibile dimostrare per la prima volta il ruolo fondamentale della componente elettrica della forza protonmotiva nel mantenere lo stato enzimatico ad elevato accoppiamento. Tale ruolo è stato successivamente messo in luce anche nel wild-type, in parte anche grazie all’uso di inibitori specifici di F1 e di FO. Il disaccoppiamento intrinseco nel wild-type è stato ulteriormente esaminato anche nella sua dipendenza dalla rimozione di ADP e Pi; in particolare, oltre all’amina fluorescente ACMA, è stata utilizzata come sonda di ΔpH anche la 9-aminoacridina e come sonda di Δψ l’Oxonolo VI. In entrambi i casi il ruolo accoppiante di questi due ligandi è stato confermato, inoltre utilizzando la 9-aminoacridina è stato possibile calibrare il segnale di fluorescenza con salti acido-base, dando quindi una base quantitativa ai dati ottenuti. Noi riteniamo che il più probabile candidato strutturale coinvolto in questi cambiamenti di stato enzimatici sia la subunità ε, di cui è noto il coinvolgimento in processi di regolazione e in cambiamenti strutturali indotti da nucleotidi e dalla forza protonmotiva. In collaborazione con il Dipartimento di Chimica Fisica dell’Università di Friburgo è in atto un progetto per studiare i cambiamenti strutturali presumibilmente associati al disaccoppiamento intrinseco tramite FRET in singola molecola di complessi ATP-sintasici marcati con fluorofori sia sulla subunità ε che sulla subunità γ. Nell’ambito di questa tesi sono stati creati a questo fine alcuni doppi mutanti cisteinici ed è stato messo a punto un protocollo per la loro marcatura con sonde fluorescenti.

In this thesis we focussed on the characterization of the reaction center (RC) protein purified from the photosynthetic bacterium Rhodobacter sphaeroides. In particular, we discussed the effects of native and artificial environment on the light-induced electron transfer processes. The native environment consist of the inner antenna LH1 complex that copurifies with the RC forming the so called core complex, and the lipid phase tightly associated with it. In parallel, we analyzed the role of saccharidic glassy matrices on the interplay between electron transfer processes and internal protein dynamics. As a different artificial matrix, we incorporated the RC protein in a layer-by-layer structure with a twofold aim: to check the behaviour of the protein in such an unusual environment and to test the response of the system to herbicides. By examining the RC in its native environment, we found that the light-induced charge separated state P+QB - is markedly stabilized (by about 40 meV) in the core complex as compared to the RC-only system over a physiological pH range. We also verified that, as compared to the average composition of the membrane, the core complex copurifies with a tightly bound lipid complement of about 90 phospholipid molecules per RC, which is strongly enriched in cardiolipin. In parallel, a large ubiquinone pool was found in association with the core complex, giving rise to a quinone concentration about ten times larger than the average one in the membrane. Moreover, this quinone pool is fully functional, i.e. it is promptly available at the QB site during multiple turnover excitation of the RC. The latter two observations suggest important heterogeneities and anisotropies in the native membranes which can in principle account for the stabilization of the charge separated state in the core complex. The thermodynamic and kinetic parameters obtained in the RC-LH1 complex are very close to those measured in intact membranes, indicating that the electron transfer properties of the RC in vivo are essentially determined by its local environment. The studies performed by incorporating the RC into saccharidic matrices evidenced the relevance of solvent-protein interactions and dynamical coupling in determining the kinetics of electron transfer processes. The usual approach when studying the interplay between internal motions and protein function consists in freezing the degrees of freedom of the protein at cryogenic temperature. We proved that the “trehalose approach” offers distinct advantages with respect to this traditional methodology. We showed, in fact, that the RC conformational dynamics, coupled to specific electron transfer processes, can be modulated by varying the hydration level of the trehalose matrix at room temperature, thus allowing to disentangle solvent from temperature effects. The comparison between different saccharidic matrices has revealed that the structural and dynamical protein-matrix coupling depends strongly upon the sugar. The analyses performed in RCs embedded in polyelectrolyte multilayers (PEM) structures have shown that the electron transfer from QA - to QB, a conformationally gated process extremely sensitive to the RC environment, can be strongly modulated by the hydration level of the matrix, confirming analogous results obtained for this electron transfer reaction in sugar matrices. We found that PEM-RCs are a very stable system, particularly suitable to study the thermodynamics and kinetics of herbicide binding to the QB site. These features make PEM-RC structures quite promising in the development of herbicide biosensors. The studies discussed in the present thesis have shown that, although the effects on electron transfer induced by the native and artificial environments tested are markedly different, they can be described on the basis of a common kinetic model which takes into account the static conformational heterogeneity of the RC and the interconversion between conformational substates. Interestingly, the same distribution of rate constants (i.e. a Gamma distribution function) can describe charge recombination processes in solutions of purified RC, in RC-LH1 complexes, in wet and dry RC-PEM structures and in glassy saccharidic matrices over a wide range of hydration levels. In conclusion, the results obtained for RCs in different physico-chemical environments emphasize the relevance of the structure/dynamics solvent/protein coupling in determining the energetics and the kinetics of electron transfer processes in a membrane protein complex.

Gli istoni sono proteine basiche che possono essere classificate in varie classi: H1, H2A, H2B, H3 e H4. Queste proteine formano l’ottamero proteico attorno al quale si avvolge il DNA per formare il nucleosoma che è l’unità fondamentale della cromatina. A livello delle code N-terminali, gli istoni possono essere soggetti a numerose modifiche posttraduzionali quali acetilazioni, metilazioni, fosforilazioni, ADP-ribosilazioni e ubiquitinazioni. Queste modifiche portano alla formazione di diversi siti di riconoscimento per diversi complessi enzimatici coinvolti in importanti processi come la riparazione e la replicazione del DNA e l’assemblaggio della cromatina. La più importante e la più studiata di queste modifiche è l’acetilazione che avviene a livello dei residui amminici della catena laterale dell’amminoacido lisina. I livelli corretti di acetilazione delle proteine istoniche sono mantenuti dall’attività combinata di due enzimi: istone acetil transferasi (HAT) e istone deacetilasi (HDAC). Gli enzimi appartenenti a questa famiglia possono essere suddivisi in varie classi a seconda delle loro diverse caratteristiche, quali la localizzazione cellulare, la dimensione, l’omologia strutturale e il meccanismo d’azione. Recentemente è stato osservato che livelli aberranti di HDAC sono coinvolti nella carcinogenesi; per questo motivo numerosi gruppi di ricerca sono interessati alla progettazione e alla sintesi di composti che siano in grado di inibire questa classe enzimatica. L’inibizione delle HDAC può infatti provocare arresto della crescita cellulare, apoptosi o morte cellulare. Per questo motivo la ricerca farmaceutica in campo antitumorale è mirata alla sintesi di inibitori selettivi verso le diverse classi di HDAC per sviluppare farmaci meno tossici e per cercare di comprendere con maggiore chiarezza il ruolo biologico di questi enzimi. Il potenziale antitumorale degli inibitori delle HDAC deriva infatti dalla loro capacità di interferire con diversi processi cellulari, generalmente non più controllati nelle cellule neoplastiche. Nella maggior parte dei casi l’attività antitumorale risiede nella capacità di attivare programmi di differenziamento, di inibire la progressione del ciclo cellulare e di indurre apoptosi. Inoltre sembra essere molto importante anche la capacità di attivare la risposta immunitaria e l’inibizione dell’angiogenesi. Gli inibitori delle HDAC possono essere a loro volta classificati in base alla struttura chimica, alla loro origine (naturale o sintetica), e alla loro capacità di inibire selettivamente le HDAC appartenenti a classi diverse. Non è ancora chiaro se la selettività di queste molecole verso una specifica classe di HDAC sia importante per ottenere un effetto antitumorale, ma sicuramente inibitori selettivi possono essere molto utili per investigare e chiarire il ruolo delle HDAC nei processi cellulari che portano all’insorgenza del tumore. Nel primo capitolo di questa tesi quindi è riportata un’introduzione sull’importanza delle proteine istoniche non solo da un punto di vista strutturale ma anche funzionale per il destino cellulare. Nel secondo capitolo è riportato lo stato dell’arte dell’analisi delle proteine istoniche che comprende sia i metodi tradizionali come il microsequenziamento e l’utilizzo di anticorpi, sia metodi più innovativi (RP-LC, HILIC, HPCE) ideati per poter essere accoppiati ad analisi mediante spettrometria di massa. Questa tecnica consente infatti di ottenere importanti e precise informazioni che possono aiutare sia a identificare gli istoni come proteine che a individuare i siti coinvolti nelle modifiche post-traduzionali. Nel capitolo 3 è riportata la prima parte del lavoro sperimentale di questa tesi volto alla caratterizzazione delle proteine istoniche mediante tecniche cromatografiche accoppiate alla spettrometria di massa. Nella prima fase del lavoro è stato messo a punto un nuovo metodo cromatografico HPLC che ha consentito di ottenere una buona separazione, alla linea di base, delle otto classi istoniche (H1-1, H1-2, H2A-1, H2A-2, H2B, H3-1, H3-2 e H4). La separazione HPLC delle proteine istoniche ha permesso di poter eseguire analisi accurate di spettrometria di massa mediante accoppiamento con un analizzatore a trappola ionica tramite la sorgente electrospray (ESI). E’ stato così possibile identificare e quantificare tutte le isoforme istoniche, che differiscono per il tipo e il numero di modifiche post-traduzionali alle quali sono soggette, previa estrazione da colture cellulari di HT29 (cancro del colon). Un’analisi così dettagliata delle isoforme non può essere ottenuta con i metodi immunologici e permette di eseguire un’indagine molto accurata delle modifiche delle proteine istoniche correlandole ai diversi stadi della progressione del ciclo e alla morte cellulare. Il metodo messo a punto è stato convalidato mediante analisi comparative che prevedono la stessa separazione cromatografica ma accoppiata a uno spettrometro di massa avente sorgente ESI e analizzatore Q-TOF, dotato di maggiore sensibilità e risoluzione. Successivamente, per identificare quali sono gli specifici amminoacidi coinvolti nelle diverse modifiche post-traduzionali, l’istone H4 è stato sottoposto a digestione enzimatica e successiva analisi mediante tecniche MALDI-TOF e LC-ESI-MSMS. Queste analisi hanno permesso di identificare le specifiche lisine acetilate della coda N-terminale e la sequenza temporale di acetilazione delle lisine stesse. Nel quarto capitolo sono invece riportati gli studi di inibizione, mirati a caratterizzare le modifiche a carico delle proteine istoniche indotte da inibitori delle HDAC, dotati di diverso profilo di potenza e selettività. Dapprima Il metodo messo a punto per l’analisi delle proteine istoniche è stato applicato all’analisi di istoni estratti da cellule HT29 trattate con due noti inibitori delle HDAC, valproato e butirrato, somministrati alle cellule a dosi diverse, che corrispondono alle dosi con cui sono stati testati in vivo, per convalidare il metodo per studi di inibizione di composti incogniti. Successivamente, lo studio è proseguito con lo scopo di evidenziare effetti legati alla diversa potenza e selettività degli inibitori. Le cellule sono state trattate con due inibitori più potenti, SAHA e MS275, alla stessa concentrazione. In entrambi i casi il metodo messo a punto ha permesso di evidenziare l’aumento dei livelli di acetilazione indotto dal trattamento con gli inibitori; ha inoltre messo in luce differenti livelli di acetilazione. Ad esempio il SAHA, potente inibitore di tutte le classi di HDAC, ha prodotto un’estesa iperacetilazione di tutte le proteine istoniche, mentre MS275 selettivo per la classe I di HDAC, ha prodotto modifiche molto più blande. E’ stato quindi deciso di applicare questo metodo per studiare la dose e la tempo-dipendenza dell’effetto di quattro diversi inibitori delle HDAC (SAHA, MS275, MC1855 e MC1568) sulle modifiche post-traduzionali di istoni estratti da cellule HT29. Questi inibitori differiscono oltre che per la struttura chimica anche per il profilo di selettività nei confronti delle HDAC appartenenti alle diverse classi. Sono stati condotti quindi studi di dose-dipendenza che hanno consentito di ottenere i valori di IC50 (concentrazione capace di ridurre della metà la quantità relativa dell’istone meno acetilato) caratteristici per ogni inibitore nei confronti di tutte le classi istoniche. E’ stata inoltre calcolata la percentuale massima di inibizione per ogni inibitore. Infine sono stati eseguiti studi di tempo-dipendenza. I risultati ottenuti da questi studi hanno permesso di correlare i livelli di acetilazione delle varie classi istoniche con la selettività d’azione e la struttura chimica degli inibitori somministrati alle cellule. In particolare, SAHA e MC1855, inibitori delle HDAC di classi I e II a struttura idrossamica, hanno causato l’iperacetilazione di tutte le proteine istoniche, mentre MC1568 (inibitore selettivo per HDAC di classe II) ha prodotto l’iperacetilazione solo di H4. Inoltre la potenza e la selettività degli inibitori nel provocare un aumento dei livelli di acetilazione a livello delle distinte classi istoniche è stata correlata al destino biologico della cellula, tramite studi di vitalità cellulare. E’ stato osservato che il SAHA e MC1855, inibitori potenti e non selettivi, somministrati alla coltura HT29 a dose 50 μM producono morte cellulare, mentre MS275 alla stessa dose produce accumulo citostatico in G1/G0. MC1568, invece, non produce effetti significatici sul ciclo cellulare. Questo studio ha perciò dimostrato che l’analisi tramite HPLC-ESI-MS delle proteine istoniche permette di caratterizzare finemente la potenza e la selettività di nuovi composti inibitori delle HDAC, prevedendone l’effetto sul ciclo cellulare. In maggiore dettaglio è risultato che l’iperacetilazione di H4 non è in grado di provocare modifiche significative sul ciclo cellulare. Questo metodo, insieme alle analisi MALDI-TOF e LC-ESI-MSMS che permettono di individuare l’ordine di acetilazione delle lisine della coda N-terminale, potrà fornire importanti informazioni sugli inibitori delle HDAC e potrà essere applicato per delineare la potenza, la selettività e il meccanismo di azione di nuovi potenziali inibitori di questa classe enzimatica in colture cellulari tumorali.

Many new Escherichia coli outer membrane proteins have recently been identified by proteomics techniques. However, poorly expressed proteins and proteins expressed only under certain conditions may escape detection when wild-type cells are grown under standard conditions. Here, we have taken a complementary approach where candidate outer membrane proteins have been identified by bioinformatics prediction, cloned and overexpressed, and finally localized by cell fractionation experiments. Out of eight predicted outer membrane proteins, we have confirmed the outer membrane localization for five—YftM, YaiO, YfaZ, CsgF, and YliI—and also provide preliminary data indicating that a sixth—YfaL—may be an outer membrane autotransporter.

Dendritic Cells (DCs) derived from human blood monocytes that have been nurtured in GM-CSF and IL-4, followed by maturation in a monocyte-conditioned medium, are the most potent APCs known. These DCs have many features of primary DCs, including the expression of molecules that enhance antigen capture and selective receptors that guide DCs to and from several sites in the body, where they elicit the T cell mediated immune response. For these features, immature DCs (iDC) loaded with tumor antigen and matured (mDC) with a standard cytokine cocktail, are used for therapeutic vaccination in clinical trials of different cancers. However, the efficacy of DCs in the development of immunocompetence is critically influenced by the type (whole lysate, proteins, peptides, mRNA), the amount and the time of exposure of the tumor antigens used for loading in the presentation phase. The aim of the present study was to create instruments to acquire more information about DC antigen uptake and presentation mechanisms to improve the clinical efficacy of DCbased vaccine. In particular, two different tumor antigen were studied: the monoclonal immunoglobulin (IgG or IgA) produced in Myeloma Multiple, and the whole lysate obtained from melanoma tissues. These proteins were conjugated with fluorescent probe (FITC) to evaluate the kinetic of tumor antigen capturing process and its localization into DCs, by cytofluorimetric and fluorescence microscopy analysis, respectively. iDC pulsed with 100μg of IgG-FITC/106 cells were monitored from 2 to 22 hours after loading. By the cytofluorimetric analysis it was observed that the monoclonal antibody was completely captured after 2 hours from pulsing, and was decreased into mDC in 5 hours after maturation stimulus. To monitor the lysate uptake, iDC were pulsed with 80μg of tumor lysate/106 cells, then were monitored in the 2h to 22 hours interval time after loading. Then, to reveal difference between increasing lysate concentration, iDC were loaded with 20-40-80-100-200-400μg of tumor lysate/106 cells and monitored at 2-4-8-13h from pulsing. By the cytofluorimetric analysis, it was observed that, the 20-40-80-100μg uptake, after 8 hours loading was completed reaching a plateau phase. For 200 and 400μg the mean fluorescence of cells increased until 13h from pulsing. The lysate localization into iDC was evaluated with conventional and confocal fluorescence microscopy analysis. In the 2h to 8h time interval from loading an intensive and diffuse fluorescence was observed within the cytoplasmic compartment. Moreover, after 8h, the lysate fluorescence appeared to be organized in a restricted cloudy-shaded area with a typical polarized aspect. In addition, small fluorescent spots clearly appeared with an increment in the number and fluorescence intensity. The nature of these spot-like formations and cloudy area is now being investigated detecting the colocalization of the fluorescence lysate and specific markers for lysosomes, autophagosomes, endoplasmic reticulum and MHCII positive vesicles.

The continuous increase of genome sequencing projects produced a huge amount of data in the last 10 years: currently more than 600 prokaryotic and 80 eukaryotic genomes are fully sequenced and publically available. However the sole sequencing process of a genome is able to determine just raw nucleotide sequences. This is only the first step of the genome annotation process that will deal with the issue of assigning biological information to each sequence. The annotation process is done at each different level of the biological information processing mechanism, from DNA to protein, and cannot be accomplished only by in vitro analysis procedures resulting extremely expensive and time consuming when applied at a this large scale level. Thus, in silico methods need to be used to accomplish the task. The aim of this work was the implementation of predictive computational methods to allow a fast, reliable, and automated annotation of genomes and proteins starting from aminoacidic sequences. The first part of the work was focused on the implementation of a new machine learning based method for the prediction of the subcellular localization of soluble eukaryotic proteins. The method is called BaCelLo, and was developed in 2006. The main peculiarity of the method is to be independent from biases present in the training dataset, which causes the over‐prediction of the most represented examples in all the other available predictors developed so far. This important result was achieved by a modification, made by myself, to the standard Support Vector Machine (SVM) algorithm with the creation of the so called Balanced SVM. BaCelLo is able to predict the most important subcellular localizations in eukaryotic cells and three, kingdom‐specific, predictors were implemented. In two extensive comparisons, carried out in 2006 and 2008, BaCelLo reported to outperform all the currently available state‐of‐the‐art methods for this prediction task. BaCelLo was subsequently used to completely annotate 5 eukaryotic genomes, by integrating it in a pipeline of predictors developed at the Bologna Biocomputing group by Dr. Pier Luigi Martelli and Dr. Piero Fariselli. An online database, called eSLDB, was developed by integrating, for each aminoacidic sequence extracted from the genome, the predicted subcellular localization merged with experimental and similarity‐based annotations. In the second part of the work a new, machine learning based, method was implemented for the prediction of GPI‐anchored proteins. Basically the method is able to efficiently predict from the raw aminoacidic sequence both the presence of the GPI‐anchor (by means of an SVM), and the position in the sequence of the post‐translational modification event, the so called ω‐site (by means of an Hidden Markov Model (HMM)). The method is called GPIPE and reported to greatly enhance the prediction performances of GPI‐anchored proteins over all the previously developed methods. GPIPE was able to predict up to 88% of the experimentally annotated GPI‐anchored proteins by maintaining a rate of false positive prediction as low as 0.1%. GPIPE was used to completely annotate 81 eukaryotic genomes, and more than 15000 putative GPI‐anchored proteins were predicted, 561 of which are found in H. sapiens. In average 1% of a proteome is predicted as GPI‐anchored. A statistical analysis was performed onto the composition of the regions surrounding the ω‐site that allowed the definition of specific aminoacidic abundances in the different considered regions. Furthermore the hypothesis that compositional biases are present among the four major eukaryotic kingdoms, proposed in literature, was tested and rejected. All the developed predictors and databases are freely available at: BaCelLo http://gpcr.biocomp.unibo.it/bacello eSLDB http://gpcr.biocomp.unibo.it/esldb GPIPE http://gpcr.biocomp.unibo.it/gpipe