Computational methods for genome screening

Motivation An actual issue of great interest, both under a theoretical and an applicative perspective, is the analysis of biological sequences for disclosing the information that they encode. The development of new technologies for genome sequencing in the last years, opened new fundamental problems since huge amounts of biological data still deserve an interpretation. Indeed, the sequencing is only the first step of the genome annotation process that consists in the assignment of biological information to each sequence. Hence given the large amount of available data, in silico methods became useful and necessary in order to extract relevant information from sequences. The availability of data from Genome Projects gave rise to new strategies for tackling the basic problems of computational biology such as the determination of the tridimensional structures of proteins, their biological function and their reciprocal interactions. Results The aim of this work has been the implementation of predictive methods that allow the extraction of information on the properties of genomes and proteins starting from the nucleotide and aminoacidic sequences, by taking advantage of the information provided by the comparison of the genome sequences from different species. In the first part of the work a comprehensive large scale genome comparison of 599 organisms is described. 2,6 million of sequences coming from 551 prokaryotic and 48 eukaryotic genomes were aligned and clustered on the basis of their sequence identity. This procedure led to the identification of classes of proteins that are peculiar to the different groups of organisms. Moreover the adopted similarity threshold produced clusters that are homogeneous on the structural point of view and that can be used for structural annotation of uncharacterized sequences. The second part of the work focuses on the characterization of thermostable proteins and on the development of tools able to predict the thermostability of a protein starting from its sequence. By means of Principal Component Analysis the codon composition of a non redundant database comprising 116 prokaryotic genomes has been analyzed and it has been showed that a cross genomic approach can allow the extraction of common determinants of thermostability at the genome level, leading to an overall accuracy in discriminating thermophilic coding sequences equal to 95%. This result outperform those obtained in previous studies. Moreover, we investigated the effect of multiple mutations on protein thermostability. This issue is of great importance in the field of protein engineering, since thermostable proteins are generally more suitable than their mesostable counterparts in technological applications. A Support Vector Machine based method has been trained to predict if a set of mutations can enhance the thermostability of a given protein sequence. The developed predictor achieves 88% accuracy.

Valutazione dell’impiego dei test per la genotipizzazione di HPV e l’espressione degli oncogeni virali nel follow-up di donne conizzate per lesioni cervicali di alto grado nello screening del cervico-carcinoma della Regione Emilia-Romagna

Obiettivi: Valutare la prevalenza dei diversi genotipi di HPV in pazienti con diagnosi di CIN2/3 nella Regione Emilia-Romagna, la persistenza genotipo-specifica di HPV e l’espressione degli oncogeni virali E6/E7 nel follow-up post-trattamento come fattori di rischio di recidiva/persistenza o progressione di malattia; verificare l’applicabilità di nuovi test diagnostici biomolecolari nello screening del cervicocarcinoma. Metodi: Sono state incluse pazienti con citologia di screening anormale, sottoposte a trattamento escissionale (T0) per diagnosi di CIN2/3 su biopsia mirata. Al T0 e durante il follow-up a 6, 12, 18 e 24 mesi, oltre al Pap test e alla colposcopia, sono state effettuate la ricerca e la genotipizzazione dell'HPV DNA di 28 genotipi. In caso di positività al DNA dei 5 genotipi 16, 18, 31, 33 e/o 45, si è proceduto alla ricerca dell'HPV mRNA di E6/E7. Risultati preliminari: Il 95.8% delle 168 pazienti selezionate è risultato HPV DNA positivo al T0. Nel 60.9% dei casi le infezioni erano singole (prevalentemente da HPV 16 e 31), nel 39.1% erano multiple. L'HPV 16 è stato il genotipo maggiormente rilevato (57%). Il 94.3% (117/124) delle pazienti positive per i 5 genotipi di HPV DNA sono risultate mRNA positive. Abbiamo avuto un drop-out di 38/168 pazienti. A 18 mesi (95% delle pazienti) la persistenza dell'HPV DNA di qualsiasi genotipo era del 46%, quella dell'HPV DNA dei 5 genotipi era del 39%, con espressione di mRNA nel 21%. Abbiamo avuto recidiva di malattia (CIN2+) nel 10.8% (14/130) a 18 mesi. Il pap test era negativo in 4/14 casi, l'HPV DNA test era positivo in tutti i casi, l'mRNA test in 11/12 casi. Conclusioni: L'HR-HPV DNA test è più sensibile della citologia, l'mRNA test è più specifico nell'individuare una recidiva. I dati definitivi saranno disponibili al termine del follow-up programmato.

Retrospective assessment of fracture risk through opportunistic radiological screening in a large modern cohort of liver transplant recipients

Objective: Liver transplantation has been associated with a high prevalence of osteoporosis, although most data rely on single-center studies with limited sample size, with most of them dating back to late 1990s and early 2000s. The present thesis aims to assess the prevalence of fragility fractures and contributing factors in a large modern cohort of liver transplant recipients managed in a referral Italian Liver Transplant Center. Design and Methods: Paper and electronic medical records of 429 consecutive patients receiving liver transplantation from 1/1/2010 to 31/12/2015 were reviewed, and 366 patients were selected. Clinically obtained electronic radiological images within 6 months from the date of liver transplant surgery, such as lateral views of spine X-rays or CT abdominal scans, were opportunistically reviewed in a blinded fashion to screen for morphometric vertebral fractures. Clinical fragility fractures reported in the medical records, along with information on etiology of cirrhosis and biochemistries at the time of liver surgery were also recorded. Results: Prevalence of fragility fractures in the whole cohort was 155/366 (42.3%), with no significant differences between sexes. Of patients with fractures, most sustained vertebral fractures (145/155, 93.5%), the majority of which were mild or moderate wedges. Multiple vertebral fractures were common (41.3%). Fracture rates were similar across different etiologies of cirrhosis and were also comparable in patients with diabetes or exposed to glucocorticoids. Kidney function was significantly worse in women with fractures. Independent of age, sex, alcohol use, eGFR, etiology of liver disease, lower BMI was the only independent risk factor for fractures (adjusted OR 1,058, 95%CI 1,001-1,118, P=0.046) in this study population. Conclusions: A considerable fracture burden was shown in a large and modern cohort of liver transplant recipients. Given the remarkably high prevalence of fractures, a metabolic bone disease screening should be implemented in every patient awaiting liver transplantation.