Literature DB >> 26737780

Modeling HPV early promoter regulation.

A Giaretta, B Di Camillo, L Barzon, G M Toffolo.   

Abstract

In high risk forms, human papillomaviruses (HPV) can either induce or promote cancerous lesions, especially cervical cancer which is considered the second most common cancer in the women worldwide. HPV life cycle is tightly linked to the infected cell differentiation program and its evolution is strictly joined to the switch between the early and the late viral polycistronic promoters.The aim of this study is to develop a novel mathematical model which collects and structures the available biologic knowledge on the early promoter regulation for HPV in episomal form. The model includes the main regulation by E2 viral protein as well as a novel discovered co-regulation function mediated by the viral E1 protein. Only by including both E2 and E1 regulatory effect the model is able to correctly predict the temporal behaviour of the early promoter switching off. A possible use of the model as in silico tool to evaluate new antiviral therapies is discussed.

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Year:  2015        PMID: 26737780     DOI: 10.1109/EMBC.2015.7319880

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  In vivo Antitumor Effect of an HPV-specific Promoter driving IL-12 Expression in an HPV 16-positive Murine Model of Cervical Cancer.

Authors:  Victor Hugo Bermúdez-Morales; Geny Fierros-Zarate; Celina García-Meléndrez; Juan Manuel Alcocer-Gonzalez; Ausencio Morales-Ortega; Oscar Peralta-Zaragoza; Kirvis Torres-Poveda; Ana Isabel Burguete-García; Eva Hernández-Márquez; Vicente Madrid-Marina
Journal:  J Cancer       Date:  2016-09-27       Impact factor: 4.207

2.  Stochastic modeling of human papillomavirusearly promoter gene regulation.

Authors:  Alberto Giaretta; Gianna Maria Toffolo; Timothy C Elston
Journal:  J Theor Biol       Date:  2019-10-28       Impact factor: 2.691

3.  Modeling the dynamics of chromosomal alteration progression in cervical cancer: A computational model.

Authors:  Augusto Cabrera-Becerril; Cruz Vargas-De-León; Sergio Hernández; Pedro Miramontes; Raúl Peralta
Journal:  PLoS One       Date:  2017-07-19       Impact factor: 3.240

  3 in total

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