Expression and cellular localization of Copper transporter 2 (Ctr2) in Mus musculus

The Ctr family is an essential part of the copper homeostasis machinery and its members share sequence homology and structural and functional features. Higher eukaryotes express two members of this family Ctr1 and Ctr2. Numerous structural and functional studies are available for Ctr1, the only high affinity Cu(I) transporter thus far identified. Ctr1 holigotrimers mediate cellular copper uptake and this protein was demonstrated to be essential for embryonic development and to play a crucial role in dietary copper acquisition. Instead very little is known about Ctr2, it bears structural homology to the yeast vacuolar copper transporter, which mediates mobilization of vacuolar copper stores. Recent studies using over-expressed epitope-tagged forms of human Ctr2 suggested a function as a low affinity copper transporter that can mediate either copper uptake from the extracellular environment or mobilization of lysosomal copper stores. Using an antibody that recognizes endogenous mouse Ctr2, we studied the expression and localization of endogenous mouse Ctr2 in cell culture and in mouse models to understand its regulation and function in copper homeostasis. By immunoblot we observed a regulation of mCtr2 protein levels in a copper and Ctr1 dependent way. Our observations in cells and transgenic mice suggest that lack of Ctr1 induces a strong downregulation of Ctr2 probably by a post-translational mechanism. By indirect immunofluorescence we observed an exclusive intracellular localization in a perinuclear compartment and no co-localization with lysosomal markers. Immunofluorescence experiments in Ctr1 null cells, supported by sequence analysis, suggest that lysosomes may play a role in mCtr2 biology not as resident compartment, but as a degradation site. In appendix a LC-mass method for analysis of algal biotoxins belonging to the family of PsP (paralytic shellfish poisoning) is described.

Meccanismi replicativi e di regolazione dell'espressione genica di Parvovirus B19

Il Parvovirus B19, virus patogeno umano della famiglia Parvoviridae, mostra uno specifico tropismo per i precursori eritroidi e una limitata replicazione in alcune linee cellulari megacarioblastoidi. Allo scopo di sviluppare sistemi utili allo studio delle caratteristiche biologiche del virus, diversi laboratori si sono occupati della costruzione di cloni genomici di B19 dotati di competenza funzionale e capaci di generare virus infettante. Parte del presente lavoro ha riguardato l’analisi funzionale di diversi cloni genomici di B19 e ha permesso di caratterizzare le regioni terminali del virus e di identificare requisiti essenziali per la loro funzionalità. Nel contesto intracellulare, esistono differenti livelli di restrizione in relazione alla capacità della cellula di supportare la replicazione virale, non ancora del tutto caratterizzati. Inoltre si sono accumulate evidenze circa la capacità del B19 di instaurare persistenza in numerosi tessuti. Non sono ancora note le caratteristiche funzionali del genoma virale in questo stato, è possibile che il virus persista in forma silente e meccanismi epigenetici possano regolare tale silenziamento. In questo studio è stato analizzato lo stato di metilazione del genoma di B19 e il suo possibile effetto sul ciclo replicativo virale ed è stata investigata la possibile associazione del DNA virale agli istoni cellulari nel corso di infezione in vitro. I risultati ottenuti confermano la presenza di questi meccanismi epigenetici, potendo ipotizzare che giochino un importante ruolo nella regolazione della funzionalità virale e nell’interazione B19-cellula e siano un elemento critico per l’adattamento del virus nell’ambiente in cui si trova. Inoltre l’ipotesi che anche i microRNA possano assumere un importante significato nell’interazione B19-cellula è stata proposta da diversi lavori e nel presente studio è stata valutata la produzione di queste piccole molecole durante l'infezione in vitro, ricercando microRNA (cellulari e/o virali) con omologia di sequenza per il genoma di B19 e quindi specifici per il virus.

A clustering method for robust and reliable large scale functional and structural protein sequence annotation

Bioinformatics, in the last few decades, has played a fundamental role to give sense to the huge amount of data produced. Obtained the complete sequence of a genome, the major problem of knowing as much as possible of its coding regions, is crucial. Protein sequence annotation is challenging and, due to the size of the problem, only computational approaches can provide a feasible solution. As it has been recently pointed out by the Critical Assessment of Function Annotations (CAFA), most accurate methods are those based on the transfer-by-homology approach and the most incisive contribution is given by cross-genome comparisons. In the present thesis it is described a non-hierarchical sequence clustering method for protein automatic large-scale annotation, called “The Bologna Annotation Resource Plus” (BAR+). The method is based on an all-against-all alignment of more than 13 millions protein sequences characterized by a very stringent metric. BAR+ can safely transfer functional features (Gene Ontology and Pfam terms) inside clusters by means of a statistical validation, even in the case of multi-domain proteins. Within BAR+ clusters it is also possible to transfer the three dimensional structure (when a template is available). This is possible by the way of cluster-specific HMM profiles that can be used to calculate reliable template-to-target alignments even in the case of distantly related proteins (sequence identity < 30%). Other BAR+ based applications have been developed during my doctorate including the prediction of Magnesium binding sites in human proteins, the ABC transporters superfamily classification and the functional prediction (GO terms) of the CAFA targets. Remarkably, in the CAFA assessment, BAR+ placed among the ten most accurate methods. At present, as a web server for the functional and structural protein sequence annotation, BAR+ is freely available at http://bar.biocomp.unibo.it/bar2.0.