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Spatio-temporal Stochastic Models for Phenotype and Gene Regulation by the Human Papillomavirus

Descrizione del progetto

Un modello matematico sull’infezione da HPV

I papillomavirus umani (HPV) sono responsabili di molti tipi di cancro, quali il cancro del collo dell’utero. Sebbene le recenti prove sul meccanismo dell’infezione da HPV indirizzino la comunità scientifica verso lo sviluppo di nuovi farmaci antivirali, mancano ancora alcune tessere del puzzle. Il progetto STEPV, finanziato dall’UE, è interessato alla rete genica dell’HPV e al modo in cui è regolata per controllare l’infezione. Alcuni ricercatori intendono sviluppare un modello matematico che superi i limiti esistenti e si specializzi nell’infezione da HPV. Essi sperano di utilizzare questo modello per collegare il genotipo con la persistenza virale e alimentare la ricerca futura sugli aspetti sfuggenti dell’infezione da HPV.

Obiettivo

Human papillomaviruses (HPVs) cause a range of serious diseases, with particular regard to cervical cancer, most anal cancers and half of head and neck cancers, and the need for new and effective antiviral therapies is of paramount importance. Important advancements regarding the HPV infection, throughout the infected epithelium, have been recently made. However, a full mechanistic understanding of how stochastic and dynamical properties of the HPV gene network interact with the cellular circuitry that controls proliferation/differentiation and cell-to-cell communication affects responses at the single cell and tissue level during infection is lacking. A better understanding of these aspects is critical to understand viral persistence, cancer progression, and to develop novel strategies for antiviral therapies. Mathematical models, developed under rigorous mathematical and biological assumptions, can be of great help in generating optimal solutions to these problems. STEPV project aims at improving the current available frameworks for stochastic tissue-level mathematical modeling, by tackling their limitations and specialize them in the context of HPVs, as well as to improve clinical/biological discoveries about HPVs infection. The specific goals are: (1) development of novel spatio-temporal modeling frameworks in order to describe HPVs gene expression and its connection with the phenotype control; (2) use of the developed models to understand the phenotype regulation by oncoproteins, understand viral persistence and propose novel antiviral strategies. By achieving these goals, STEPV will provide, for the first time, innovative modeling frameworks in the field of the computational systems biology applied to the context of HPVs infection, allowing quantitative and noninvasive tools to deeply investigate still elusive mechanisms, regarding HPVs infection, as well as investigate inaccessible or poorly understood clinical/biological scenarios.

Coordinatore

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Contribution nette de l'UE
€ 159 700,32
Indirizzo
TRINITY LANE THE OLD SCHOOLS
CB2 1TN Cambridge
Regno Unito

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Regione
East of England East Anglia Cambridgeshire CC
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
€ 159 700,32