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Advanced Hepatitis C Virus Replication PDE Models within a Realistic Intracellular Geometric Environment

The hepatitis C virus (HCV) RNA replication cycle is a dynamic intracellular process occurring in three-dimensional space (3D), which is difficult both to capture experimentally and to visualize conceptually. HCV-generated replication factories are housed within virus-induced intracellular structure...

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Autores principales: Knodel, Markus M., Targett-Adams, Paul, Grillo, Alfio, Herrmann, Eva, Wittum, Gabriel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388173/
https://www.ncbi.nlm.nih.gov/pubmed/30759770
http://dx.doi.org/10.3390/ijerph16030513
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author Knodel, Markus M.
Targett-Adams, Paul
Grillo, Alfio
Herrmann, Eva
Wittum, Gabriel
author_facet Knodel, Markus M.
Targett-Adams, Paul
Grillo, Alfio
Herrmann, Eva
Wittum, Gabriel
author_sort Knodel, Markus M.
collection PubMed
description The hepatitis C virus (HCV) RNA replication cycle is a dynamic intracellular process occurring in three-dimensional space (3D), which is difficult both to capture experimentally and to visualize conceptually. HCV-generated replication factories are housed within virus-induced intracellular structures termed membranous webs (MW), which are derived from the Endoplasmatic Reticulum (ER). Recently, we published 3D spatiotemporal resolved diffusion–reaction models of the HCV RNA replication cycle by means of surface partial differential equation (sPDE) descriptions. We distinguished between the basic components of the HCV RNA replication cycle, namely HCV RNA, non-structural viral proteins (NSPs), and a host factor. In particular, we evaluated the sPDE models upon realistic reconstructed intracellular compartments (ER/MW). In this paper, we propose a significant extension of the model based upon two additional parameters: different aggregate states of HCV RNA and NSPs, and population dynamics inspired diffusion and reaction coefficients instead of multilinear ones. The combination of both aspects enables realistic modeling of viral replication at all scales. Specifically, we describe a replication complex state consisting of HCV RNA together with a defined amount of NSPs. As a result of the combination of spatial resolution and different aggregate states, the new model mimics a cis requirement for HCV RNA replication. We used heuristic parameters for our simulations, which were run only on a subsection of the ER. Nevertheless, this was sufficient to allow the fitting of core aspects of virus reproduction, at least qualitatively. Our findings should help stimulate new model approaches and experimental directions for virology.
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spelling pubmed-63881732019-02-27 Advanced Hepatitis C Virus Replication PDE Models within a Realistic Intracellular Geometric Environment Knodel, Markus M. Targett-Adams, Paul Grillo, Alfio Herrmann, Eva Wittum, Gabriel Int J Environ Res Public Health Article The hepatitis C virus (HCV) RNA replication cycle is a dynamic intracellular process occurring in three-dimensional space (3D), which is difficult both to capture experimentally and to visualize conceptually. HCV-generated replication factories are housed within virus-induced intracellular structures termed membranous webs (MW), which are derived from the Endoplasmatic Reticulum (ER). Recently, we published 3D spatiotemporal resolved diffusion–reaction models of the HCV RNA replication cycle by means of surface partial differential equation (sPDE) descriptions. We distinguished between the basic components of the HCV RNA replication cycle, namely HCV RNA, non-structural viral proteins (NSPs), and a host factor. In particular, we evaluated the sPDE models upon realistic reconstructed intracellular compartments (ER/MW). In this paper, we propose a significant extension of the model based upon two additional parameters: different aggregate states of HCV RNA and NSPs, and population dynamics inspired diffusion and reaction coefficients instead of multilinear ones. The combination of both aspects enables realistic modeling of viral replication at all scales. Specifically, we describe a replication complex state consisting of HCV RNA together with a defined amount of NSPs. As a result of the combination of spatial resolution and different aggregate states, the new model mimics a cis requirement for HCV RNA replication. We used heuristic parameters for our simulations, which were run only on a subsection of the ER. Nevertheless, this was sufficient to allow the fitting of core aspects of virus reproduction, at least qualitatively. Our findings should help stimulate new model approaches and experimental directions for virology. MDPI 2019-02-12 2019-02 /pmc/articles/PMC6388173/ /pubmed/30759770 http://dx.doi.org/10.3390/ijerph16030513 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Knodel, Markus M.
Targett-Adams, Paul
Grillo, Alfio
Herrmann, Eva
Wittum, Gabriel
Advanced Hepatitis C Virus Replication PDE Models within a Realistic Intracellular Geometric Environment
title Advanced Hepatitis C Virus Replication PDE Models within a Realistic Intracellular Geometric Environment
title_full Advanced Hepatitis C Virus Replication PDE Models within a Realistic Intracellular Geometric Environment
title_fullStr Advanced Hepatitis C Virus Replication PDE Models within a Realistic Intracellular Geometric Environment
title_full_unstemmed Advanced Hepatitis C Virus Replication PDE Models within a Realistic Intracellular Geometric Environment
title_short Advanced Hepatitis C Virus Replication PDE Models within a Realistic Intracellular Geometric Environment
title_sort advanced hepatitis c virus replication pde models within a realistic intracellular geometric environment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388173/
https://www.ncbi.nlm.nih.gov/pubmed/30759770
http://dx.doi.org/10.3390/ijerph16030513
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