Literature DB >> 25433231

Unraveling liver complexity from molecular to organ level: challenges and perspectives.

L A D'Alessandro1, S Hoehme2, A Henney3, D Drasdo4, U Klingmüller5.   

Abstract

Biological responses are determined by information processing at multiple and highly interconnected scales. Within a tissue the individual cells respond to extracellular stimuli by regulating intracellular signaling pathways that in turn determine cell fate decisions and influence the behavior of neighboring cells. As a consequence the cellular responses critically impact tissue composition and architecture. Understanding the regulation of these mechanisms at different scales is key to unravel the emergent properties of biological systems. In this perspective, a multidisciplinary approach combining experimental data with mathematical modeling is introduced. We report the approach applied within the Virtual Liver Network to analyze processes that regulate liver functions from single cell responses to the organ level using a number of examples. By facilitating interdisciplinary collaborations, the Virtual Liver Network studies liver regeneration and inflammatory processes as well as liver metabolic functions at multiple scales, and thus provides a suitable example to identify challenges and point out potential future application of multi-scale systems biology.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  Hepatocyte; Liver; Modeling; Multi-scale; Tissue

Mesh:

Year:  2014        PMID: 25433231     DOI: 10.1016/j.pbiomolbio.2014.11.005

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  5 in total

1.  A physiome interoperability roadmap for personalized drug development.

Authors:  Simon Thomas; Katherine Wolstencroft; Bernard de Bono; Peter J Hunter
Journal:  Interface Focus       Date:  2016-04-06       Impact factor: 3.906

2.  Building a 3D Virtual Liver: Methods for Simulating Blood Flow and Hepatic Clearance on 3D Structures.

Authors:  Diana White; Dennis Coombe; Vahid Rezania; Jack Tuszynski
Journal:  PLoS One       Date:  2016-09-20       Impact factor: 3.240

3.  Preventing Data Ambiguity in Infectious Diseases with Four-Dimensional and Personalized Evaluations.

Authors:  Michelle J Iandiorio; Jeanne M Fair; Stylianos Chatzipanagiotou; Anastasios Ioannidis; Eleftheria Trikka-Graphakos; Nikoletta Charalampaki; Christina Sereti; George P Tegos; Almira L Hoogesteijn; Ariel L Rivas
Journal:  PLoS One       Date:  2016-07-13       Impact factor: 3.240

4.  From whole-organ imaging to in-silico blood flow modeling: A new multi-scale network analysis for revisiting tissue functional anatomy.

Authors:  Pol Kennel; Jules Dichamp; Corinne Barreau; Christophe Guissard; Lise Teyssedre; Jacques Rouquette; Julien Colombelli; Anne Lorsignol; Louis Casteilla; Franck Plouraboué
Journal:  PLoS Comput Biol       Date:  2020-02-14       Impact factor: 4.475

Review 5.  Computational Modeling in Liver Surgery.

Authors:  Bruno Christ; Uta Dahmen; Karl-Heinz Herrmann; Matthias König; Jürgen R Reichenbach; Tim Ricken; Jana Schleicher; Lars Ole Schwen; Sebastian Vlaic; Navina Waschinsky
Journal:  Front Physiol       Date:  2017-11-14       Impact factor: 4.566

  5 in total

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