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  Biomaterials and computation: a strategic alliance to investigate emergent responses of neural cells

Sergi, P. N., & Cavalcanti-Adam, E. A. (2017). Biomaterials and computation: a strategic alliance to investigate emergent responses of neural cells. Biomaterials Science, 5, 648-657. doi:10.1039/C6BM00871B.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-C270-2 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002E-A4FB-C
Genre: Journal Article

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BiomaterialsSci_5_2017_648.pdf (Any fulltext), 8MB
 
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 Creators:
Sergi, Pier Nicola, Author
Cavalcanti-Adam, Elisabetta Ada1, 2, Author              
Affiliations:
1Cellular Biophysics, Max Planck Institute for Medical Research, Max Planck Society, ou_2364731              
2Biophysical Chemistry, Institute of Physical Chemistry, University of Heidelberg, 69120 Heidelberg, Germany, ou_persistent22              

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 Abstract: Topographical and chemical cues drive migration, outgrowth and regeneration of neurons in different and crucial biological conditions. In the natural extracellular matrix, their influences are so closely coupled that they result in complex cellular responses. As a consequence, engineered biomaterials are widely used to simplify in vitro conditions, disentangling intricate in vivo behaviours, and narrowing the investigation on particular emergent responses. Nevertheless, how topographical and chemical cues affect the emergent response of neural cells is still unclear, thus in silico models are used as additional tools to reproduce and investigate the interactions between cells and engineered biomaterials. This work aims at presenting the synergistic use of biomaterials-based experiments and computation as a strategic way to promote the discovering of complex neural responses as well as to allow the interactions between cells and biomaterials to be quantitatively investigated, fostering a rational design of experiments.

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Language(s): eng - English
 Dates: 2016-11-292017-01-312017-02-162017-03-28
 Publication Status: Published in print
 Pages: 10
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 Rev. Method: Peer
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Title: Biomaterials Science
Source Genre: Journal
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Publ. Info: Cambridge : Royal Society of Chemistry
Pages: - Volume / Issue: 5 Sequence Number: - Start / End Page: 648 - 657 Identifier: ISSN: 2047-4830
CoNE: https://pure.mpg.de/cone/journals/resource/2047-4830