Progettazione di base di un'unità di trattamento aria per locali ISO8

Nella prima parte della tesi vengono date informazioni di base sulle unitdi trattamento aria e sui locali a contaminazione controllata. Nella seconda parte viene presentata la documentazione progettuale relativa a un impianto "tipo" che stata realizzata in sede di tirocinio ma che rappresenta allo stesso tempo la procedura da seguire per la progettazione di impianti di maggior complessitopenEmbargo per motivi di segretezza e/o di proprietà dei risultati e/o informazioni sensibil

Modello 2D di un reattore per steam reforming in pressione

Usando un software CFD commerciale è stato sviluppato un modello 2D per simulare un reattore in cui vengono condotti esperimenti di steam reforming. Sono utilizzate le equazioni di bilancio di quantità  di moto, materia ed energia e un modello cinetico di letteratura. I confronti tra dati sperimentali e risultati del modello sono molto buoni, anche se i dati sperimentali sono molto vicini all'equilibrio per cui l'utilizzo di un modello cinetico perde in parte la sua utilitàope

A system-level approach for deciphering the transcriptional response to prion infection

Motivation: Deciphering the response of a complex biological system to an insulting event, at the gene expression level, requires adopting theoretical models that are more sophisticated than a one-to-one comparison (i.e. t-test). Here, we investigate the ability of a novel reverse engineering approach (System Response Inference) to unveil non-obvious transcriptional signatures of the system response induced by prion infection. Results: To this end, we analyze previously published gene expression data, from which we extrapolate a putative full-scale model of transcriptional gene-gene dependencies in the mouse central nervous system. Then, we use this nominal model to interpret the gene expression changes caused by prion replication, aiming at selecting the genes primarily influenced by this perturbation. Our method sheds light on the mode of action of prions by identifying key transcripts that are the most likely to be responsible for the overall transcriptional rearrangement from a nominal regulatory network. As a first result of our inference, we have been able to predict known targets of prions (i.e. PrPC) and to unveil the potential role of previously unsuspected genes. Contact: [email protected] Supplementary Information: Supplementary data are available at Bioinformatics onlin

mRNA stability and the unfolding of gene expression in the long-period yeast metabolic cycle

<p>Abstract</p> <p>Background</p> <p>In yeast, genome-wide periodic patterns associated with energy-metabolic oscillations have been shown recently for both short (approx. 40 min) and long (approx. 300 min) periods.</p> <p>Results</p> <p>The dynamical regulation due to mRNA stability is found to be an important aspect of the genome-wide coordination of the long-period yeast metabolic cycle. It is shown that for periodic genes, arranged in classes according either to expression profile or to function, the pulses of mRNA abundance have phase and width which are directly proportional to the corresponding turnover rates.</p> <p>Conclusion</p> <p>The cascade of events occurring during the yeast metabolic cycle (and their correlation with mRNA turnover) reflects to a large extent the gene expression program observable in other dynamical contexts such as the response to stresses/stimuli.</p

Transient Expression in Red Beet of a Biopharmaceutical Candidate Vaccine for Type-1 Diabetes

Plant molecular farming is the use of plants to produce molecules of interest. In this perspective, plants may be used both as bioreactors for the production and subsequent purification of the final product and for the direct oral delivery of heterologous proteins when using edible plant species. In this work, we present the development of a candidate oral vaccine against Type 1 Diabetes (T1D) in edible plant systems using deconstructed plant virus-based recombinant DNA technology, delivered with vacuum infiltration. Our results show that a red beet is a suitable host for the transient expression of a human derived autoantigen associated to T1D, considered to be a promising candidate as a T1D vaccine. Leaves producing the autoantigen were thoroughly characterized for their resistance to gastric digestion, for the presence of residual bacterial charge and for their secondary metabolic profile, giving an overview of the process production for the potential use of plants for direct oral delivery of a heterologous protein. Our analysis showed almost complete degradation of the freeze-dried candidate oral vaccine following a simulated gastric digestion, suggesting that an encapsulation strategy in the manufacture of the plant-derived GAD vaccine is required

A computational procedure to identify significant overlap of differentially expressed and genomic imbalanced regions in cancer datasets†

The integration of high-throughput genomic data represents an opportunity for deciphering the interplay between structural and functional organization of genomes and for discovering novel biomarkers. However, the development of integrative approaches to complement gene expression (GE) data with other types of gene information, such as copy number (CN) and chromosomal localization, still represents a computational challenge in the genomic arena. This work presents a computational procedure that directly integrates CN and GE profiles at genome-wide level. When applied to DNA/RNA paired data, this approach leads to the identification of Significant Overlaps of Differentially Expressed and Genomic Imbalanced Regions (SODEGIR). This goal is accomplished in three steps. The first step extends to CN a method for detecting regional imbalances in GE. The second part provides the integration of CN and GE data and identifies chromosomal regions with concordantly altered genomic and transcriptional status in a tumor sample. The last step elevates the single-sample analysis to an entire dataset of tumor specimens. When applied to study chromosomal aberrations in a collection of astrocytoma and renal carcinoma samples, the procedure proved to be effective in identifying discrete chromosomal regions of coordinated CN alterations and changes in transcriptional levels

Author Correction: Combining CRISPRi and metabolomics for functional annotation of compound libraries

No abstract available

Combining CRISPRi and metabolomics for functional annotation of compound libraries

Molecular profiling of small molecules offers invaluable insights into the function of compounds and allows for hypothesis generation about small-molecule direct targets and secondary effects. However, current profiling methods are limited in either the number of measurable parameters or throughput. Here we developed a multiplexed, unbiased framework that, by linking genetic to drug-induced changes in nearly a thousand metabolites, allows for high-throughput functional annotation of compound libraries in Escherichia coli. First, we generated a reference map of metabolic changes from CRISPR interference (CRISPRi) with 352 genes in all major essential biological processes. Next, on the basis of the comparison of genetic changes with 1,342 drug-induced metabolic changes, we made de novo predictions of compound functionality and revealed antibacterials with unconventional modes of action (MoAs). We show that our framework, combining dynamic gene silencing with metabolomics, can be adapted as a general strategy for comprehensive high-throughput analysis of compound functionality from bacteria to human cell lines

Clinical scenarios of hypertrophic cardiomyopathy-related mortality : Relevance of age and stage of disease at presentation

The evolving epidemiology of hypertrophic cardiomyopathy (HCM) has progressively changed our perception of HCM-related mortality. However, recent studies detailing individual causes of death based on age and clinical setting are lacking. Thus, the present study aimed to describe the modes of death in a consecutive cohort of HCM patients based on presenting clinical features and stage of disease.By retrospective analysis of a large HCM cohort, we identified 161 patients with >1 year follow-up who died between 2000 and 2020 and thoroughly investigated their modes of death. HCM stage at presentation was defined as "classic", "adverse remodeling" or "overt dysfunction".Of the 161 patients, 103 (64%) died of HCM-related causes, whereas 58 (36%) died of non-HCM-related causes. Patients who died of HCM-related causes were younger than those who died of non-HCM related causes. The most common cause of death was heart failure (HF). Sudden cardiac death (SCD) ranked third, after non cardiovascular death, and mostly occurred in young individuals. The proportion of HF related death and SCD per stage of disease was 14% and 27% in "classic", 38% and 21% in "adverse remodeling" and 74% and 10% in "overt dysfunction".Most HCM patients die due to complications of their own disease, mainly in the context of HF. While SCD tends to be juvenile, HF related deaths often occur in age groups no longer amenable to cardiac transplant. Modes of death vary with the stage of disease, with SCD becoming less prevalent in more advanced phases, when competitive risk of HF becomes overwhelming

Prevalence of anxiety and depression symptoms in a sample of outpatients with ATTR cardiac amyloidosis

Patients with ATTR cardiac amyloidosis (ATTR-CA) face rare disease that could negatively influence psychological well-being with consequences on the course of the disease and quality of life. However, to date, no study analyzed the prevalence of anxiety and depression in patients with ATTR-CA and which clinical and sociodemographic characteristics are linked with these psychopathological conditions. A total of 109 consecutive patients (83% males) aged 62–90 years with ATTR-CA were recruited. In order to better understand the prevalence of anxiety and depression in ATTR-CA, a control group composed by 33 individuals equaling gender, education, and age were recruited. The level of anxiety and depression was measured using the Italian version of the Hospital Anxiety and Depression Scale (HADS). Sociodemographic and clinic characteristics were registered. Almost half of patients (49%) reported a clinical level of depression or anxiety, or both. ATTR-CA patients reported higher levels of anxiety and depression than control group. Results showed that older patients with ATTR-CA, especially females, with more advanced disease could be more at risk to develop an anxious disorder. Furthermore, being a woman, and presenting with a greater severity of symptoms, would appear to be a risk factor for developing a depressive disorder. Overall, these results highlighted the high presence of anxiety and depression in ATTR-CA patients, suggesting to physicians to pay attention to the psychological well-being of ATTR-CA patients. In fact, a psychological support for patients with high level of psychopathological disease could reduce disease burden and improve quality of life in ATTR-CA population