Transcriptional regulation of human mu-opioid receptor gene: functional characterization of activating and inhibitory transcription factors

The organization of the nervous and immune systems is characterized by obvious differences and striking parallels. Both systems need to relay information across very short and very long distances. The nervous system communicates over both long and short ranges primarily by means of more or less hardwired intercellular connections, consisting of axons, dendrites, and synapses. Longrange communication in the immune system occurs mainly via the ordered and guided migration of immune cells and systemically acting soluble factors such as antibodies, cytokines, and chemokines. Its short-range communication either is mediated by locally acting soluble factors or transpires during direct cell–cell contact across specialized areas called “immunological synapses” (Kirschensteiner et al., 2003). These parallels in intercellular communication are complemented by a complex array of factors that induce cell growth and differentiation: these factors in the immune system are called cytokines; in the nervous system, they are called neurotrophic factors. Neither the cytokines nor the neurotrophic factors appear to be completely exclusive to either system (Neumann et al., 2002). In particular, mounting evidence indicates that some of the most potent members of the neurotrophin family, for example, nerve growth factor (NGF) and brainderived neurotrophic factor (BDNF), act on or are produced by immune cells (Kerschensteiner et al., 1999) There are, however, other neurotrophic factors, for example the insulin-like growth factor-1 (IGF-1), that can behave similarly (Kermer et al., 2000). These factors may allow the two systems to “cross-talk” and eventually may provide a molecular explanation for the reports that inflammation after central nervous system (CNS) injury has beneficial effects (Moalem et al., 1999). In order to shed some more light on such a cross-talk, therefore, transcription factors modulating mu-opioid receptor (MOPr) expression in neurons and immune cells are here investigated. More precisely, I focused my attention on IGF-I modulation of MOPr in neurons and T-cell receptor induction of MOPr expression in T-lymphocytes. Three different opioid receptors [mu (MOPr), delta (DOPr), and kappa (KOPr)] belonging to the G-protein coupled receptor super-family have been cloned. They are activated by structurallyrelated exogenous opioids or endogenous opioid peptides, and contribute to the regulation of several functions including pain transmission, respiration, cardiac and gastrointestinal functions, and immune response (Zollner and Stein 2007). MOPr is expressed mainly in the central nervous system where it regulates morphine-induced analgesia, tolerance and dependence (Mayer and Hollt 2006). Recently, induction of MOPr expression in different immune cells induced by cytokines has been reported (Kraus et al., 2001; Kraus et al., 2003). The human mu-opioid receptor gene (OPRM1) promoter is of the TATA-less type and has clusters of potential binding sites for different transcription factors (Law et al. 2004). Several studies, primarily focused on the upstream region of the OPRM1 promoter, have investigated transcriptional regulation of MOPr expression. Presently, however, it is still not completely clear how positive and negative transcription regulators cooperatively coordinate cellor tissue-specific transcription of the OPRM1 gene, and how specific growth factors influence its expression. IGF-I and its receptors are widely distributed throughout the nervous system during development, and their involvement in neurogenesis has been extensively investigated (Arsenijevic et al. 1998; van Golen and Feldman 2000). As previously mentioned, such neurotrophic factors can be also produced and/or act on immune cells (Kerschenseteiner et al., 2003). Most of the physiologic effects of IGF-I are mediated by the type I IGF surface receptor which, after ligand binding-induced autophosphorylation, associates with specific adaptor proteins and activates different second messengers (Bondy and Cheng 2004). These include: phosphatidylinositol 3-kinase, mitogen-activated protein kinase (Vincent and Feldman 2002; Di Toro et al. 2005) and members of the Janus kinase (JAK)/STAT3 signalling pathway (Zong et al. 2000; Yadav et al. 2005). REST plays a complex role in neuronal cells by differentially repressing target gene expression (Lunyak et al. 2004; Coulson 2005; Ballas and Mandel 2005). REST expression decreases during neurogenesis, but has been detected in the adult rat brain (Palm et al. 1998) and is up-regulated in response to global ischemia (Calderone et al. 2003) and induction of epilepsy (Spencer et al. 2006). Thus, the REST concentration seems to influence its function and the expression of neuronal genes, and may have different effects in embryonic and differentiated neurons (Su et al. 2004; Sun et al. 2005). In a previous study, REST was elevated during the early stages of neural induction by IGF-I in neuroblastoma cells. REST may contribute to the down-regulation of genes not yet required by the differentiation program, but its expression decreases after five days of treatment to allow for the acquisition of neural phenotypes. Di Toro et al. proposed a model in which the extent of neurite outgrowth in differentiating neuroblastoma cells was affected by the disappearance of REST (Di Toro et al. 2005). The human mu-opioid receptor gene (OPRM1) promoter contains a DNA sequence binding the repressor element 1 silencing transcription factor (REST) that is implicated in transcriptional repression. Therefore, in the fist part of this thesis, I investigated whether insulin-like growth factor I (IGF-I), which affects various aspects of neuronal induction and maturation, regulates OPRM1 transcription in neuronal cells in the context of the potential influence of REST. A series of OPRM1-luciferase promoter/reporter constructs were transfected into two neuronal cell models, neuroblastoma-derived SH-SY5Y cells and PC12 cells. In the former, endogenous levels of human mu-opioid receptor (hMOPr) mRNA were evaluated by real-time PCR. IGF-I upregulated OPRM1 transcription in: PC12 cells lacking REST, in SH-SY5Y cells transfected with constructs deficient in the REST DNA binding element, or when REST was down-regulated in retinoic acid-differentiated cells. IGF-I activates the signal transducer and activator of transcription-3 (STAT3) signaling pathway and this transcription factor, binding to the STAT1/3 DNA element located in the promoter, increases OPRM1 transcription. T-cell receptor (TCR) recognizes peptide antigens displayed in the context of the major histocompatibility complex (MHC) and gives rise to a potent as well as branched intracellular signalling that convert naïve T-cells in mature effectors, thus significantly contributing to the genesis of a specific immune response. In the second part of my work I exposed wild type Jurkat CD4+ T-cells to a mixture of CD3 and CD28 antigens in order to fully activate TCR and study whether its signalling influence OPRM1 expression. Results were that TCR engagement determined a significant induction of OPRM1 expression through the activation of transcription factors AP-1, NF-kB and NFAT. Eventually, I investigated MOPr turnover once it has been expressed on T-cells outer membrane. It turned out that DAMGO induced MOPr internalisation and recycling, whereas morphine did not. Overall, from the data collected in this thesis we can conclude that that a reduction in REST is a critical switch enabling IGF-I to up-regulate human MOPr, helping these findings clarify how human MOPr expression is regulated in neuronal cells, and that TCR engagement up-regulates OPRM1 transcription in T-cells. My results that neurotrophic factors a and TCR engagement, as well as it is reported for cytokines, seem to up-regulate OPRM1 in both neurons and immune cells suggest an important role for MOPr as a molecular bridge between neurons and immune cells; therefore, MOPr could play a key role in the cross-talk between immune system and nervous system and in particular in the balance between pro-inflammatory and pro-nociceptive stimuli and analgesic and neuroprotective effects.

Un estere misto degli acidi ialuronico, butirrico e retinoico è in grado di agire come rimodellante inverso della matrice cellulare sui fibroblasti cardiaci

Le cardiomiopatie che insorgono a seguito di infarto miocardico sono causa di elevata morbilità e mortalità dalle importanti ricadute cliniche, dovute alle patologie insorgenti a seguito dell’ischemia e della cicatrice post-infatuale. Il ventricolo sinistro danneggiato va incontro a un rimodellamento progressivo, con perdita di cardiomiociti e proliferazione dei fibroblasti, risultante in un’architettura e in una funzionalità dell’organo distorta. I fibroblasti cardiaci sono i principali responsabili della fibrosi, il processo di cicatrizzazione caratterizzato da un’eccessiva deposizione di matrice extracellulare (ECM). Negli ultimi anni gli sforzi del nostro laboratorio sono stati volti a cercare di risolvere questo problema, attraverso l’uso di una molecola da noi sintetizzata, un estere misto degli acidi butirrico, retinoico e ialuronico, HBR, capace di commissionare le cellule staminali in senso cardio-vascolare. Studi in vivo mostrano come l’iniezione diretta di HBR in cuori di animali sottoposti a infarto sperimentale, sia in grado, tra le atre cose, di diminuire la fibrosi cardiaca. Sulla base di questa evidenza abbiamo cercato di capire come e se HBR agisse direttamente sui fibroblasti, indagando i meccanismi coinvolti nella riduzione della fibrosi in vivo.. In questa tesi abbiamo dimostrato come HBR abbia un’azione diretta su fibroblasti, inibendone la proliferazione, senza effetti citotossici. Inoltre HBR induce una significativa riduzione della deposizione di collagene.. HBR agisce sull’espressione genica e sulla sintesi proteica, sopprimendo la trascrizione dei geni del collagene, così come dell’a-sma, inibendo la trasizione fibroblasti-miofibroblasti, e promuovendo la vasculogenesi (attraverso VEGF), la chemoattrazione di cellule staminali (attraverso SDF) e un’attività antifibrotica (inibendo CTGF). HBR sembra modulare l’espressione genica agendo direttamente sulle HDAC, probabilmente grazie alla subunità BU. L’abilità di HBR di ridurre la fibrosi post-infartuale, come dimostrato dai nostri studi in vivo ed in vitro, apre la strada a importanti prospettive terapeutiche.

Studio del possibile ruolo del complesso polycomb nel determinare la schisi del labbro e del palato

La labioschisi con o senza palatoschisi non-sindromica (NSCL/P) è tra le più frequenti alterazioni dello sviluppo embrionale, causata dall’interazione di fattori genetici e ambientali, moti dei quali ancora ignoti. L'obiettivo del mio progetto di Dottorato consiste nell’identificazione di fattori di rischio genetico in un processo a due stadi che prevede la selezione di geni candidati e la verifica del loro coinvolgimento nella determinazione della malformazione mediante studi di associazione. Ho analizzato alcuni polimorfismi a singolo nucleotide (SNPs) dei geni RFC1 e DHFR, appartenenti alla via metabolica dell’acido folico, evidenziando una debole associazione tra alcuni degli SNPs indagati e la NSCL/P nella popolazione italiana. Presso il laboratorio della Dott.ssa Mangold dell’Università di Bonn, ho valutato il ruolo di 15 diverse regioni cromosomiche nel determinare la suscettibilità alla malattia, evidenziando una significativa associazione per i marcatori localizzati in 8q24 e 1p22. Ho quindi rivolto la mia attenzione al ruolo del complesso Polycomb nell’insorgenza della schisi. Nell’uomo i due complessi Polycomb, PRC1 e PRC2, rimodellano la cromatina agendo da regolatori dei meccanismi trascrizionali alla base della differenziazione cellulare e dello sviluppo embrionale. Ho ipotizzato che mutazioni a carico di geni appartenenti a PRC2 possano essere considerati potenziali fattori di rischio genetico nel determinare la NSCL/P. Il razionale consiste nel fatto che JARID2, una proteina che interagisce con PRC2, è associata all’insorgenza della NSCL/P ed espressa a livello delle cellule epiteliali delle lamine palatine che si approssimano alla fusione. L’indagine condotta analizzando i geni di elementi o partner dei due complessi Polycomb, ha evidenziato un’associazione significativa con alcuni polimorfismi dei geni indagati, associazione ulteriormente confermata dall’analisi degli aplotipi. Le analisi condotte sui geni candidati mi hanno permesso di raccogliere dati interessanti sull’eziologia della malformazione. Studi indipendenti saranno necessari per poter validare l'associazione tra le varianti genetiche di questi geni candidati e la NSCL/P.

Modulation of hypoxia-inducible factors as a therapeutic target for multiple myeloma

Hypoxia-inducible factor-1 alpha (HIF-1α) plays a critical role in survival and is associated with poor prognosis in solid tumors. The role of HIF-1α in multiple myeloma is not completely known. In the present study, we explored the effect of EZN2968, an locked nucleic acid antisense oligonucleotide against HIF-1α, as a molecular target in MM. A panel of MM cell lines and primary samples from MM patients were cultured in vitro in the presence of EZN2968 . Under normoxia culture condition, HIF-1α mRNA and protein expression was detectable in all MM cell lines and in CD138+ cells from newly diagnosed MM patients samples. Significant up-regulation of HIF-1α protein expression was observed after incubation with IL6 or IGF-I, confirming that HIF-1α can be further induced by biological stimuli. EZN2968 efficiently induces a selective and stable down-modulation of HIF-1α and decreased the secretion of VEGF released by MM cell. Treatment with EZN2968 gave rise to a progressive accumulation of cells in the S and subG0 phase. The analysis of p21, a cyclin-dependent kinase inhibitors controlling cell cycle check point, shows upregulation of protein levels. These results suggest that HIF-1α inhibition is sufficient for cell cycle arrest in normoxia, and for inducing an apoptotic pathways.. In the presence of bone marrow microenvironment, HIF-1α inhibition blocks MAPK kinase pathway and secretion of pro-surviaval cytokines ( IL6,VEGF,IL8) In this study we provide evidence that HIF-1α, even in the absence of hypoxia signal, is expressed in MM plasma cells and further inducible by bone marrow milieu stimuli; moreover its inhibition is sufficient to induce a permanent cell cycle arrest. Our data support the hypothesis that HIF-1α inhibition may suppress tumor growth by preventing proliferation of plasma cells through p21 activation and blocking pro-survival stimuli from bone marrow microenvironment.

Computational methods for the analysis of protein structure and function

The vast majority of known proteins have not yet been experimentally characterized and little is known about their function. The design and implementation of computational tools can provide insight into the function of proteins based on their sequence, their structure, their evolutionary history and their association with other proteins. Knowledge of the three-dimensional (3D) structure of a protein can lead to a deep understanding of its mode of action and interaction, but currently the structures of <1% of sequences have been experimentally solved. For this reason, it became urgent to develop new methods that are able to computationally extract relevant information from protein sequence and structure. The starting point of my work has been the study of the properties of contacts between protein residues, since they constrain protein folding and characterize different protein structures. Prediction of residue contacts in proteins is an interesting problem whose solution may be useful in protein folding recognition and de novo design. The prediction of these contacts requires the study of the protein inter-residue distances related to the specific type of amino acid pair that are encoded in the so-called contact map. An interesting new way of analyzing those structures came out when network studies were introduced, with pivotal papers demonstrating that protein contact networks also exhibit small-world behavior. In order to highlight constraints for the prediction of protein contact maps and for applications in the field of protein structure prediction and/or reconstruction from experimentally determined contact maps, I studied to which extent the characteristic path length and clustering coefficient of the protein contacts network are values that reveal characteristic features of protein contact maps. Provided that residue contacts are known for a protein sequence, the major features of its 3D structure could be deduced by combining this knowledge with correctly predicted motifs of secondary structure. In the second part of my work I focused on a particular protein structural motif, the coiled-coil, known to mediate a variety of fundamental biological interactions. Coiled-coils are found in a variety of structural forms and in a wide range of proteins including, for example, small units such as leucine zippers that drive the dimerization of many transcription factors or more complex structures such as the family of viral proteins responsible for virus-host membrane fusion. The coiled-coil structural motif is estimated to account for 5-10% of the protein sequences in the various genomes. Given their biological importance, in my work I introduced a Hidden Markov Model (HMM) that exploits the evolutionary information derived from multiple sequence alignments, to predict coiled-coil regions and to discriminate coiled-coil sequences. The results indicate that the new HMM outperforms all the existing programs and can be adopted for the coiled-coil prediction and for large-scale genome annotation. Genome annotation is a key issue in modern computational biology, being the starting point towards the understanding of the complex processes involved in biological networks. The rapid growth in the number of protein sequences and structures available poses new fundamental problems that still deserve an interpretation. Nevertheless, these data are at the basis of the design of new strategies for tackling problems such as the prediction of protein structure and function. Experimental determination of the functions of all these proteins would be a hugely time-consuming and costly task and, in most instances, has not been carried out. As an example, currently, approximately only 20% of annotated proteins in the Homo sapiens genome have been experimentally characterized. A commonly adopted procedure for annotating protein sequences relies on the "inheritance through homology" based on the notion that similar sequences share similar functions and structures. This procedure consists in the assignment of sequences to a specific group of functionally related sequences which had been grouped through clustering techniques. The clustering procedure is based on suitable similarity rules, since predicting protein structure and function from sequence largely depends on the value of sequence identity. However, additional levels of complexity are due to multi-domain proteins, to proteins that share common domains but that do not necessarily share the same function, to the finding that different combinations of shared domains can lead to different biological roles. In the last part of this study I developed and validate a system that contributes to sequence annotation by taking advantage of a validated transfer through inheritance procedure of the molecular functions and of the structural templates. After a cross-genome comparison with the BLAST program, clusters were built on the basis of two stringent constraints on sequence identity and coverage of the alignment. The adopted measure explicity answers to the problem of multi-domain proteins annotation and allows a fine grain division of the whole set of proteomes used, that ensures cluster homogeneity in terms of sequence length. A high level of coverage of structure templates on the length of protein sequences within clusters ensures that multi-domain proteins when present can be templates for sequences of similar length. This annotation procedure includes the possibility of reliably transferring statistically validated functions and structures to sequences considering information available in the present data bases of molecular functions and structures.