GiantsosAdams2013 - Growth of glycocalyx under static conditions

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Giantsos-Adams2013 - Growth of glycocalyx under static conditions

This model is described in the article:

Giantsos-Adams KM, Koo AJ, Song S, Sakai J, Sankaran J, Shin JH, Garcia-Cardena G, Dewey CF.
Cell Mol Bioeng 2013 Jun; 6(2): 160-174

Abstract:

The local hemodynamic shear stress waveforms present in an artery dictate the endothelial cell phenotype. The observed decrease of the apical glycocalyx layer on the endothelium in atheroprone regions of the circulation suggests that the glycocalyx may have a central role in determining atherosclerotic plaque formation. However, the kinetics for the cells' ability to adapt its glycocalyx to the environment have not been quantitatively resolved. Here we report that the heparan sulfate component of the glycocalyx of HUVECs increases by 1.4-fold following the onset of high shear stress, compared to static cultured cells, with a time constant of 19 h. Cell morphology experiments show that 12 h are required for the cells to elongate, but only after 36 h have the cells reached maximal alignment to the flow vector. Our findings demonstrate that following enzymatic degradation, heparan sulfate is restored to the cell surface within 12 h under flow whereas the time required is 20 h under static conditions. We also propose a model describing the contribution of endocytosis and exocytosis to apical heparan sulfate expression. The change in HS regrowth kinetics from static to high-shear EC phenotype implies a differential in the rate of endocytic and exocytic membrane turnover.

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Format
SBML (L2V4)
Related Publication
  • Heparan Sulfate Regrowth Profiles Under Laminar Shear Flow Following Enzymatic Degradation.
  • Giantsos-Adams KM, Koo AJ, Song S, Sakai J, Sankaran J, Shin JH, Garcia-Cardena G, Dewey CF Jr
  • Cellular and molecular bioengineering , 6/ 2013 , Volume 6 , pages: 160-174
  • Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Rm. 3-254, Cambridge, MA 02139 USA ; Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Rm. 3-254, Cambridge, MA 02139 USA.
  • The local hemodynamic shear stress waveforms present in an artery dictate the endothelial cell phenotype. The observed decrease of the apical glycocalyx layer on the endothelium in atheroprone regions of the circulation suggests that the glycocalyx may have a central role in determining atherosclerotic plaque formation. However, the kinetics for the cells' ability to adapt its glycocalyx to the environment have not been quantitatively resolved. Here we report that the heparan sulfate component of the glycocalyx of HUVECs increases by 1.4-fold following the onset of high shear stress, compared to static cultured cells, with a time constant of 19 h. Cell morphology experiments show that 12 h are required for the cells to elongate, but only after 36 h have the cells reached maximal alignment to the flow vector. Our findings demonstrate that following enzymatic degradation, heparan sulfate is restored to the cell surface within 12 h under flow whereas the time required is 20 h under static conditions. We also propose a model describing the contribution of endocytosis and exocytosis to apical heparan sulfate expression. The change in HS regrowth kinetics from static to high-shear EC phenotype implies a differential in the rate of endocytic and exocytic membrane turnover.
Contributors
Mohammad Umer Sharif Shohan, Kristina Giantsos-Adams

Metadata information

is
BioModels Database MODEL1609100000
BioModels Database BIOMD0000000830
hasInstance
Taxonomy Homo sapiens
BioModels Database MODEL1609100000
Mathematical Modelling Ontology Ordinary differential equation model
NCIt Heparan Sulfate
hasTaxon
Taxonomy Homo sapiens
hasProperty
Mathematical Modelling Ontology Ordinary differential equation model
BioModels Database MODEL1609100000
isDescribedBy

Curation status
Curated


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Giantsos-Adams2013.xml SBML L2V4 representation of Giantsos-Adams2013 - Growth of glycocalyx under shear stress conditions 105.16 KB Preview | Download

Additional files

Giantsos-Adams2013_Figure11.cps COPASI 4.24 (Build 197) Growth of glycocalyx under shear stress conditions 102.50 KB Preview | Download
MODEL1609100000.m Auto-generated Octave file 4.04 KB Preview | Download
Giantsos-Adams2013.sedml SEDML L1V2 Growth of glycocalyx under shear stress conditions 1.01 KB Preview | Download
MODEL1609100000-biopax3.owl Auto-generated BioPAX (Level 3) 13.87 KB Preview | Download
MODEL1609100000_urn.xml Auto-generated SBML file with URNs 29.25 KB Preview | Download
MODEL1609100000.xpp Auto-generated XPP file 2.06 KB Preview | Download
MODEL1609100000.vcml Auto-generated VCML file 18.02 KB Preview | Download
MODEL1609100000_url.xml old xml file 29.25 KB Preview | Download
MODEL1609100000.png Auto-generated Reaction graph (PNG) 30.54 KB Preview | Download
MODEL1609100000.pdf Auto-generated PDF file 157.18 KB Preview | Download
MODEL1609100000.svg Auto-generated Reaction graph (SVG) 12.61 KB Preview | Download
MODEL1609100000.sci Auto-generated Scilab file 154.00 bytes Preview | Download
MODEL1609100000-biopax2.owl Auto-generated BioPAX (Level 2) 8.13 KB Preview | Download

  • Model originally submitted by : Kristina Giantsos-Adams
  • Submitted: 10-Sep-2016 01:56:40
  • Last Modified: 09-Oct-2019 17:00:31
Revisions
  • Version: 5 public model Download this version
    • Submitted on: 09-Oct-2019 17:00:31
    • Submitted by: Mohammad Umer Sharif Shohan
    • With comment: Automatically added model identifier BIOMD0000000830
  • Version: 2 public model Download this version
    • Submitted on: 28-Sep-2016 13:48:34
    • Submitted by: Kristina Giantsos-Adams
    • With comment: Current version of Giantsos-Adams2013 - Growth of glycocalyx under shear stress conditions
  • Version: 1 public model Download this version
    • Submitted on: 10-Sep-2016 01:56:40
    • Submitted by: Kristina Giantsos-Adams
    • With comment: Original import of MODEL1609100000.xml.origin
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Curator's comment:
(added: 09 Oct 2019, 16:18:40, updated: 09 Oct 2019, 16:18:40)
Model is encoded using COPASI 4.24 (Build197) and plots are generated using R ggplot package. Model simulation time is 70 hour. Figure 11 of the published model has been reproduced and simulation condition is similar to published data.