Unknown

Dataset Information

0

Fallon2000 - Interleukin-2 dynamics


ABSTRACT:

This a model from the article:
Computational model for effects of ligand/receptor binding properties oninterleukin-2 trafficking dynamics and T cell proliferation response.
Fallon EM, Lauffenburger DA. Biotechnol Prog 2000 Sep-Oct;16(5):905-16 11027188 ,
Abstract:
Multisubunit cytokine receptors such as the heterotrimeric receptor forinterleukin-2 (IL-2) are ubiquitous in hematopoeitic cell types of importance inbiotechnology and are crucial regulators of cell proliferation anddifferentiation behavior. Dynamics of cytokine/receptor endocytic traffickingcan significantly impact cell responses through effects of receptordown-regulation and ligand depletion, and in turn are governed byligand/receptor binding properties. We describe here a computational model fortrafficking dynamics of the IL-2 receptor (IL-2R) system, which is able topredict T cell proliferation responses to IL-2. This model comprises kineticequations describing binding, internalization, and postendocytic sorting of IL-2and IL-2R, including an experimentally derived dependence of cell proliferationrate on these properties. Computational results from this model predict thatIL-2 depletion can be reduced by decreasing its binding affinity for the IL-2Rbetagamma subunit relative to the alpha subunit at endosomal pH, as a result ofenhanced ligand sorting to recycling vis-a-vis degradation, and that an IL-2analogue with such altered binding properties should exhibit increased potencyfor stimulating the T cell proliferation response. These results are inagreement with our recent experimental findings for the IL-2 analogue termed 2D1[Fallon, E. M. et al. J. Biol. Chem. 2000, 275, 6790-6797]. Thus, this type ofmodel may enable prediction of beneficial cytokine/receptor binding propertiesto aid development of molecular design criteria for improvements in applicationssuch as in vivo cytokine therapies and in vitro hematopoietic cell bioreactors.

This model was taken from the CellML repository and automatically converted to SBML.
The original model was: Fallon EM, Lauffenburger DA. (2000) - version=1.0
The original CellML model was created by:
Catherine Lloyd
c.lloyd@auckland.ac.nz
The University of Auckland

This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not..

To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

SUBMITTER: Lucian Smith 

PROVIDER: MODEL1006230001 | biostudies-other |

SECONDARY ACCESSION(S): 11027188

REPOSITORIES: biostudies-other

altmetric image

Publications

Computational model for effects of ligand/receptor binding properties on interleukin-2 trafficking dynamics and T cell proliferation response.

Fallon E M EM   Lauffenburger D A DA  

Biotechnology progress 20000901 5


Multisubunit cytokine receptors such as the heterotrimeric receptor for interleukin-2 (IL-2) are ubiquitous in hematopoeitic cell types of importance in biotechnology and are crucial regulators of cell proliferation and differentiation behavior. Dynamics of cytokine/receptor endocytic trafficking can significantly impact cell responses through effects of receptor down-regulation and ligand depletion, and in turn are governed by ligand/receptor binding properties. We describe here a computational  ...[more]

Similar Datasets

| S-EPMC2682621 | biostudies-literature
| S-EPMC12508816 | biostudies-literature
| S-EPMC5837963 | biostudies-literature
2024-09-02 | BIOMD0000000665 | BioModels
| S-EPMC3970897 | biostudies-literature
| 2304873 | ecrin-mdr-crc
| S-EPMC3542501 | biostudies-literature