Literature DB >> 16030073

A multicellular systems biology model predicts epidermal morphology, kinetics and Ca2+ flow.

Niels Grabe1, Karsten Neuber.   

Abstract

MOTIVATION: Systems biology is currently focused on integrating intracellular networks, although clinically, diseases are largely defined by their histological features. For example, no computational model can simulate today the formation of a horizontally layered epidermis. Since the epidermis is the most complex structured epithelial tissue, systems biology models could yield important insights in epithelial tissue, in which most of all human cancers arise.
RESULTS: We describe the algorithms of a system, capable of simulating the tissue homeostasis in human epidermis leading to a horizontally layered tissue with cells of different differentiation stages. The system predicts epidermal morphology, tissue kinetics and 2D flow of Ca2+ ions. Predicted properties of an epidermis with a healthy and a disturbed barrier are compared with the literature. The system closely mimics the respecting physiological situations. AVAILABILITY: Additional information and films of the simulation are available at the website. Source code is available on request. http://www.zbh.uni-hamburg.de/research/ESB/index.php CONTACT: grabe@zbh.uni-hamburg.de

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Year:  2005        PMID: 16030073     DOI: 10.1093/bioinformatics/bti585

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  15 in total

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Authors:  Minki Hwang; Marc Garbey; Scott A Berceli; Roger Tran-Son-Tay
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5.  Integrative multicellular biological modeling: a case study of 3D epidermal development using GPU algorithms.

Authors:  Scott Christley; Briana Lee; Xing Dai; Qing Nie
Journal:  BMC Syst Biol       Date:  2010-08-09

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7.  Risk factor-dependent dynamics of atopic dermatitis: modelling multi-scale regulation of epithelium homeostasis.

Authors:  Elisa Domínguez-Hüttinger; Masahiro Ono; Mauricio Barahona; Reiko J Tanaka
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8.  Nuclear staining and relative distance for quantifying epidermal differentiation in biomarker expression profiling.

Authors:  Thora Pommerencke; Thorsten Steinberg; Hartmut Dickhaus; Pascal Tomakidi; Niels Grabe
Journal:  BMC Bioinformatics       Date:  2008-11-06       Impact factor: 3.169

9.  Agent based modelling helps in understanding the rules by which fibroblasts support keratinocyte colony formation.

Authors:  Tao Sun; Phil McMinn; Mike Holcombe; Rod Smallwood; Sheila MacNeil
Journal:  PLoS One       Date:  2008-05-07       Impact factor: 3.240

10.  A computational model of the epidermis with the deformable dermis and its application to skin diseases.

Authors:  Kota Ohno; Yasuaki Kobayashi; Masaaki Uesaka; Takeshi Gotoda; Mitsuhiro Denda; Hideyuki Kosumi; Mika Watanabe; Ken Natsuga; Masaharu Nagayama
Journal:  Sci Rep       Date:  2021-06-24       Impact factor: 4.379

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