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Modeling and Visualization of Receptor Clustering on the Cellular Membrane
VISUS - Visualization Research Center, University of Stuttgart, Germany.ORCID iD: 0000-0003-1511-5006
Institute of Analysis, Dynamics, and Modeling, University of Stuttgart, Germany.
Institute of Analysis, Dynamics, and Modeling, University of Stuttgart, Germany.
VISUS - Visualization Research Center, University of Stuttgart, Germany.
2011 (English)In: IEEE Symposium on Biological Data Visualization (BioVis 2011), IEEE, 2011, p. 9-15Conference paper, Published paper (Refereed)
Abstract [en]

In cell biology, apopotosis is a very important cellular process. Apopotosis, or programmed cell death, allows an organism to remove damaged or unneeded cells in a structured manner in contrast to necrosis. Ligands bind to the death receptors located on the cellular membrane forming ligand-receptor clusters. In this paper, we develop a novel mathematical model describing the stochastic process of the ligand-receptor clustering. To study the structure and the size of the receptor clusters, a stochastic particle simulation is employed. Besides the translation of the particles on the plasma membrane, we also take the particle rotation into account as we model binding sites explicitly. Glyph-based visualization techniques are used to validate and analyze the results of our in-silico model. Information on the individual clusters as well as particle-specific data can be selected by the user and are mapped to colors to highlight certain properties of the data. The preliminary results of our model look very promising. The visualization supports the process of model development by visual data analysis containing the identification of cluster components as well as the illustration of particle trajectories.

Place, publisher, year, edition, pages
IEEE, 2011. p. 9-15
Keyword [en]
Glyphs, SystemBiology
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:liu:diva-143704DOI: 10.1109/BioVis.2011.6094042ISBN: 978-1-4673-0004-9 (electronic)ISBN: 978-1-4673-0003-2 (print)OAI: oai:DiVA.org:liu-143704DiVA: diva2:1166254
Conference
IEEE Symposium on Biological Data Visualization (BioVis 2011), 23-24 Oct. 2011, Providence, RI, USA
Available from: 2017-12-14 Created: 2017-12-14 Last updated: 2018-01-13

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf