Examining tissue differentiation stability through large scale, multi-cellular pathway modeling

Richard L. Schiek, Elebeoba May

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Genetic expression and control pathways can be successfully modeled as electrical circuits. To tackle large multicellular and genome scale simulations, the massively-parallel, electronic circuit simulator, Xyce™ [11], was adapted to address biological problems. Unique to this bio-circuit simulator is the ability to simulate not just one or a set of genetic circuits in a cell, but many cells and their internal circuits interacting through a common environment. Additionally, the circuit simulator Xyce can couple to the optimization and uncertainty analysis framework Dakota [2] allowing one to find viable parameter spaces for normal cell functionality and required parameter ranges for unknown or difficult to measure biological constants. Using such tools, we investigate the Drosophila sp. segmental differentiation network's stability as a function of initial conditions.

Original languageEnglish (US)
Title of host publication2005 NSTI Nanotechnology Conference and Trade Show - NSTI Nanotech 2005 Technical Proceedings
EditorsM. Laudon, B. Romanowicz
Pages516-519
Number of pages4
StatePublished - Dec 1 2005
Event2005 NSTI Nanotechnology Conference and Trade Show - NSTI Nanotech 2005 - Anaheim, CA, United States
Duration: May 8 2005May 12 2005

Other

Other2005 NSTI Nanotechnology Conference and Trade Show - NSTI Nanotech 2005
CountryUnited States
CityAnaheim, CA
Period5/8/055/12/05

Keywords

  • Differentiation
  • Drosophila
  • Genetic network
  • Metabolic network
  • Model

ASJC Scopus subject areas

  • Engineering(all)

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