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  Cell orientation by a microgrooved substrate can be predicted by automatic control theory

Kemkemer, R., Jungbauer, S., Kaufmann, D., & Gruler, H. (2006). Cell orientation by a microgrooved substrate can be predicted by automatic control theory. Biophysical Journal (Annual Meeting Abstracts), 90(12), 4701-4711. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/16581835.

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Kemkemer, Ralf1, Author              
Jungbauer, Simon1, 2, Author              
Kaufmann, Dieter, Author
Gruler, Hans, Author
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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: Cells have the ability to measure and respond to extracellular signals like chemical molecules and topographical surface features by changing their orientation. Here, we examined the orientation of cultured human melanocytes exposed to grooved topographies. To predict the cells' orientation response, we describe the cell behavior with an automatic controller model. The predicted dependence of the cell response to height and spatial frequency of the grooves is obtained by considering the symmetry of the system (cell + substrate). One basic result is that the automatic controller responds to the square of the product of groove height and spatial frequency or to the aspect ratio for symmetric grooves. This theoretical prediction was verified by the experiments, in which melanocytes were exposed to microfabricated poly(dimethylsiloxane) substrates having parallel rectangular grooves of heights (h) between 25 and 200 nm and spatial frequencies (L) between 100 and 500 mm(-1). In addition, the model of the cellular automatic controller is extended to include the case of different guiding signals acting simultaneously.

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Language(s): eng - English
 Dates: 2005-06-032006-01-172006-03-312006-01-17
 Publication Status: Published in print
 Pages: 11
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 284959
URI: https://www.ncbi.nlm.nih.gov/pubmed/16581835
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Title: Biophysical Journal (Annual Meeting Abstracts)
  Other : Biophys. J. (Annual Meeting Abstracts)
Source Genre: Journal
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Publ. Info: Bethesda, MD : Biophysical Society
Pages: - Volume / Issue: 90 (12) Sequence Number: - Start / End Page: 4701 - 4711 Identifier: ISSN: 0006-3495
CoNE: https://pure.mpg.de/cone/journals/resource/954925385117_1