Unraveling liver complexity from molecular to organ level: Challenges and perspectives

Lorenza Alice D'Alessandro 1 Stefan Hoehme 2 Adriano Henney 3, 4 Dirk Drasdo 2, 5, 6 Ursula Klingmüller 1
1 Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), INF 280, 69120 Heidelberg, Germany
2 IZBI - Interdisciplinary Centre for Bioinformatics [Leipzig]
3 Obsidian Biomedical Consulting Ltd., Macclesfield, UK
4 Virtual Liver Network [Heidelberg]
5 MAMBA - Modelling and Analysis for Medical and Biological Applications
LJLL - Laboratoire Jacques-Louis Lions, Inria Paris-Rocquencourt
6 CNRS, 7598 Paris, France
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.
Keywords : Modeling Tissue Multi-scale Liver Hepatocyte
Type de document :
Article dans une revue
Progress in Biophysics and Molecular Biology, Elsevier, 2015, 117 (1), pp.78-86. 〈10.1016/j.pbiomolbio.2014.11.005〉
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https://hal.inria.fr/hal-01257160
Contributeur : Yi Yin <>
Soumis le : vendredi 15 janvier 2016 - 18:13:53
Dernière modification le : vendredi 4 janvier 2019 - 17:33:31

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Lorenza Alice D'Alessandro, Stefan Hoehme, Adriano Henney, Dirk Drasdo, Ursula Klingmüller. Unraveling liver complexity from molecular to organ level: Challenges and perspectives. Progress in Biophysics and Molecular Biology, Elsevier, 2015, 117 (1), pp.78-86. 〈10.1016/j.pbiomolbio.2014.11.005〉. 〈hal-01257160〉

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