Investigating the role of single point mutations in the human proteome: a computational study

In the post genomic era with the massive production of biological data the understanding of factors affecting protein stability is one of the most important and challenging tasks for highlighting the role of mutations in relation to human maladies. The problem is at the basis of what is referred to as molecular medicine with the underlying idea that pathologies can be detailed at a molecular level. To this purpose scientific efforts focus on characterising mutations that hamper protein functions and by these affect biological processes at the basis of cell physiology. New techniques have been developed with the aim of detailing single nucleotide polymorphisms (SNPs) at large in all the human chromosomes and by this information in specific databases are exponentially increasing. Eventually mutations that can be found at the DNA level, when occurring in transcribed regions may then lead to mutated proteins and this can be a serious medical problem, largely affecting the phenotype. Bioinformatics tools are urgently needed to cope with the flood of genomic data stored in database and in order to analyse the role of SNPs at the protein level. In principle several experimental and theoretical observations are suggesting that protein stability in the solvent-protein space is responsible of the correct protein functioning. Then mutations that are found disease related during DNA analysis are often assumed to perturb protein stability as well. However so far no extensive analysis at the proteome level has investigated whether this is the case. Also computationally methods have been developed to infer whether a mutation is disease related and independently whether it affects protein stability. Therefore whether the perturbation of protein stability is related to what it is routinely referred to as a disease is still a big question mark. In this work we have tried for the first time to explore the relation among mutations at the protein level and their relevance to diseases with a large-scale computational study of the data from different databases. To this aim in the first part of the thesis for each mutation type we have derived two probabilistic indices (for 141 out of 150 possible SNPs): the perturbing index (Pp), which indicates the probability that a given mutation effects protein stability considering all the “in vitro” thermodynamic data available and the disease index (Pd), which indicates the probability of a mutation to be disease related, given all the mutations that have been clinically associated so far. We find with a robust statistics that the two indexes correlate with the exception of all the mutations that are somatic cancer related. By this each mutation of the 150 can be coded by two values that allow a direct comparison with data base information. Furthermore we also implement computational methods that starting from the protein structure is suited to predict the effect of a mutation on protein stability and find that overpasses a set of other predictors performing the same task. The predictor is based on support vector machines and takes as input protein tertiary structures. We show that the predicted data well correlate with the data from the databases. All our efforts therefore add to the SNP annotation process and more importantly found the relationship among protein stability perturbation and the human variome leading to the diseasome.

Analysis of the immunological and functional features of the Neisserial Heparin Binding Antigen (NHBA)

Neisserial Heparin Binding Antigen (NHBA) is a surface-exposed lipoprotein ubiquitously expressed by genetically diverse Neisseria meningitidis strains and is an antigen of the multicomponent protein-based 4CMenB vaccine, able to induce bactericidal antibodies in humans and to bind heparin-like molecules. The aim of this study is to characterize the immunological and functional properties of NHBA. To evaluate immunogenicity and the contribution of aminoacid sequence variability to vaccine coverage, we constructed recombinant isogenic strains that are susceptible to bactericidal killing only by anti-NHBA antibodies and engineered them to express equal levels of selected NHBA peptides. In these recombinant strains, we observed different titres associated with the different peptide variants. These recombinant strains were then further engineered to express NHBA chimeric proteins to investigate the regions important for immunogenicity. In natural strains, anti-NHBA antibodies were found to be cross-protective against strains expressing different peptides. To investigate the functional properties of this antigen, the recombinant purified NHBA protein was tested in in vitro binding studies and was found to be able to bind epithelial cells. The binding was abolished when cells were treated specifically with heparinase III, suggesting that the interaction with the cells is mediated by heparan sulfate proteoglycans (HSPG). Mutation of the Arg-rich tract of NHBA abrogated the binding, confirming the importance of this region in mediating the binding to heparin-like molecules. In a panel of N. meningitidis strains, the deletion of nhba resulted in a reduction of adhesion with respect to each isogenic wild type strain. Furthermore, the adhesion of the wild-type strain was prevented by using anti-NHBA polyclonal sera, demonstrating the specificity of the interaction. These results suggest that NHBA could be a novel meningococcal adhesin contributing to host-cell interaction. Moreover, we analysed NHBA NalP-mediated cleavage in different NHBA peptides and showed that not all NHBA peptides are cleaved.

Acquired and inherited cardiomyopathies: evaluation of cardiotoxic effects in preclinical models

Cardiomyopathies are a heterogeneous group of myocardial disorders defined by structural and functional alterations of the heart. These cardiac diseases can have both non-genetic and genetic origin. Nevertheless, a different etiology can trigger the same phenotype, as in the case of anthracycline-induced cardiotoxicity and desmin-related cardiomyopathy (DRM). Therefore, the aim of this study was to investigate the cellular mechanisms driving the development of these cardiotoxic conditions in in vitro models. Doxorubicin (DOX) is a commonly used antineoplastic drug for the treatment of a wide range of tumors. Besides, its clinical use is restricted because of dose-dependent cardiotoxicity. Our findings provided evidence that phospholipase C Beta 2 (PLCβ2) may have a critical role in DOX-induced cardiotoxicity in undifferentiated and differentiated H9c2 cell line. Interestingly, the results obtained revealed that cardiomyocytes are less sensitive to DOX, following the evaluation of cellular mechanisms such as: oxidative stress, apoptosis and cell proliferation. Nonetheless, the treatment induced a significant upregulation of PLCβ2 associated to morphological changes in both models, demonstrating the implication in a hypertrophic response. On the other hand, a hereditary DRM was associated to a missense mutation of aB crystallin (CRYAB), a chaperone protein involved in the regulation of the intermediate filament network. Since research has only been conducted on transgenic (TG) mice and neonatal rat cardiomyocytes, this study aimed at investigating cellular mechanisms triggered by CRYABR120G mutation in a hiPSC-derived DRM model. Our model confirmed the impairment of the cytoskeletal organization resulting in the formation of desmin and CRYAB aggregates and myofibril misalignment. Moreover, the missense mutation confirmed a hypertrophic cardiomyopathy phenotype, a feature of DRM patients, on cardiac engineered tissues. Lastly, these data obtained suggest that further research on PLCβ2 and CRYAB are needed to comprehend the molecular mechanisms behind the development of these 2 cardiac diseases.

Role of CARM1 (PRMT4) in high grade serous ovarian cancer metabolism and function of PRMT5 in ARID1A- deficient endometrial cancer invasion

The arginine methyltransferase CARM1 (PRMT4) is amplified and overexpressed in ~20% of high-grade serous ovarian cancer (HGSOC) and correlates with a poor survival. Therapeutic approaches based on CARM1 expression remain to be an unmet need. Here we show that fatty acid metabolism represents a metabolic vulnerability for HGSOC in a CARM1 expression status dependent manner. CARM1 promotes the de novo synthesis of fatty acids and monounsaturated fatty acids (MUFAs). The disruption of MUFAs synthesis by inhibition of SCD1 results in excessive accumulation of cytotoxic saturated fatty acids and it is synthetic lethal with CARM1 expression. Collectively, our data show that the pharmacological inhibition of MUFAs synthesis via SCD1 inhibition represents a therapeutic strategy for CARM1-high HGSOC. Another arginine methyltransferase, PRMT5, has been identified by our CRISPR screening analysis as a promising candidate for invasive ARID1A-deficient endometrial cancer. Endometrial Cancer frequently harbor somatic inactivating mutation of ARID1A that can promote an invasive phenotype. Our in vitro approach validated the CRISPR screening showing that both PRTM5 knock down and its pharmaceutical inhibition specifically hamper the invasion of ARID1A inactivated cells. Mechanistically, PRMT5 directly regulates the epithelia to mesenchymal transition pathway genes interacting with the SWI/SNF complexes. Moreover, in vivo experiments showed that PRMT5 inhibition contrasted the myometrium invasion highlighting PRMT5 inhibition as promising therapeutic strategy for ARID1A- inactivated aggressive endometrial cancer.

Ruolo della fosfolipasi C-β1 nel differenziamento miogenico: identificazione di nuovi target nucleari

The expression of phospholipase C-β1 (PLC-β1) and cyclin D3 is highly induced during skeletal myoblast differentiation. We have previously shown that PLC-β1 activates cyclin D3 promoter during the differentiation of myoblasts to myotubes, indicating that PLC-β1 is a crucial regulator of mouse cyclin D3 gene. Here we report that PLC-β1 catalytic activity plays a role in the increase of cyclin D3 levels and in the induction of differentiation of C2C12 skeletal muscle cells. PLC-β1 mutational analysis revealed the importance of His331 and His378 for the catalytic activity. We show that following insulin administration, cyclin D3 mRNA levels are lower in cells overexpressing the PLC-β1 catalytically inactive form, as compared to wild type cells. We describe a novel signaling pathway elicited by PLC-β1 that modulates Activator Protein-1 (AP-1) activity. Indeed, gel mobility shift assays indicate that there is a c-jun binding site located in cyclin D3 promoter region specifically regulated by PLC-β1 and that c-jun binding activity is significantly increased by insulin stimulation and PLC-β1 overexpression. Moreover, mutation of c-jun/AP-1 binding site decreases the basal cyclin D3 promoter activity and eliminates its induction by insulin and PLC-β1 overexpression. Interestingly, we observed that the ectopic expression of the Inositol Polyphosphate Multikinase (IPMK) in C2C12 myoblasts enhances cyclin D3 gene expression and that the mutation of c-jun site in cyclin D3 promoter determines an impairment of IPMK-dependent promoter induction. These results indicate that PLC-β1 activates a c-jun/AP-1 target gene, i.e. cyclin D3, during myogenic differentiation through IPMK signaling.

Magnetic Resonance Imaging-Derived biomarkers of Isocitrate-Dehydrogenase mutation in diffuse gliomas: a conventional MR and Diffusion Weighted Imaging study.

The introduction of molecular criteria into the classification of diffuse gliomas has added interesting practical implications to glioma management. This has created a new clinical need for correlating imaging characteristics with glioma genotypes, also known as radiogenomics or imaging genomics. Whilst many studies have primarily focused on the use of advanced magnetic resonance imaging (MRI) techniques for radiogenomics purposes, conventional MRI sequences still remain the reference point in the study and characterization of brain tumours. Moreover, a different approach may rely on diffusion-weighted imaging (DWI) usage, which is considered a “conventional” sequence in line with recently published directions on glioma imaging. In a non-invasive way, it can provide direct insight into the microscopic physical properties of tissues. Considering that Isocitrate-Dehydrogenase gene mutations may reflect alterations in metabolism, cellularity, and angiogenesis, which may manifest characteristic features on an MRI, the identification of specific MRI biomarkers could be of great interest in managing patients with brain gliomas. My study aimed to evaluate the presence of specific MRI-derived biomarkers of IDH molecular status through conventional MRI and DWI sequences.