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Development of a Simple Kinetic Mathematical Model of Aggregation of Particles or Clustering of Receptors
The process of clustering of plasma membrane receptors in response to their agonist is the first step in signal transduction. The rate of the clustering process and the size of the clusters determine further cell responses. Here we aim to demonstrate that a simple 2-differential equation mathematica...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345685/ https://www.ncbi.nlm.nih.gov/pubmed/32604803 http://dx.doi.org/10.3390/life10060097 |
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author | Garzon Dasgupta, Andrei K. Martyanov, Alexey A. Filkova, Aleksandra A. Panteleev, Mikhail A. Sveshnikova, Anastasia N. |
author_facet | Garzon Dasgupta, Andrei K. Martyanov, Alexey A. Filkova, Aleksandra A. Panteleev, Mikhail A. Sveshnikova, Anastasia N. |
author_sort | Garzon Dasgupta, Andrei K. |
collection | PubMed |
description | The process of clustering of plasma membrane receptors in response to their agonist is the first step in signal transduction. The rate of the clustering process and the size of the clusters determine further cell responses. Here we aim to demonstrate that a simple 2-differential equation mathematical model is capable of quantitative description of the kinetics of 2D or 3D cluster formation in various processes. Three mathematical models based on mass action kinetics were considered and compared with each other by their ability to describe experimental data on GPVI or CR3 receptor clustering (2D) and albumin or platelet aggregation (3D) in response to activation. The models were able to successfully describe experimental data without losing accuracy after switching between complex and simple models. However, additional restrictions on parameter values are required to match a single set of parameters for the given experimental data. The extended clustering model captured several properties of the kinetics of cluster formation, such as the existence of only three typical steady states for this system: unclustered receptors, receptor dimers, and clusters. Therefore, a simple kinetic mass-action-law-based model could be utilized to adequately describe clustering in response to activation both in 2D and in 3D. |
format | Online Article Text |
id | pubmed-7345685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73456852020-07-09 Development of a Simple Kinetic Mathematical Model of Aggregation of Particles or Clustering of Receptors Garzon Dasgupta, Andrei K. Martyanov, Alexey A. Filkova, Aleksandra A. Panteleev, Mikhail A. Sveshnikova, Anastasia N. Life (Basel) Article The process of clustering of plasma membrane receptors in response to their agonist is the first step in signal transduction. The rate of the clustering process and the size of the clusters determine further cell responses. Here we aim to demonstrate that a simple 2-differential equation mathematical model is capable of quantitative description of the kinetics of 2D or 3D cluster formation in various processes. Three mathematical models based on mass action kinetics were considered and compared with each other by their ability to describe experimental data on GPVI or CR3 receptor clustering (2D) and albumin or platelet aggregation (3D) in response to activation. The models were able to successfully describe experimental data without losing accuracy after switching between complex and simple models. However, additional restrictions on parameter values are required to match a single set of parameters for the given experimental data. The extended clustering model captured several properties of the kinetics of cluster formation, such as the existence of only three typical steady states for this system: unclustered receptors, receptor dimers, and clusters. Therefore, a simple kinetic mass-action-law-based model could be utilized to adequately describe clustering in response to activation both in 2D and in 3D. MDPI 2020-06-26 /pmc/articles/PMC7345685/ /pubmed/32604803 http://dx.doi.org/10.3390/life10060097 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Garzon Dasgupta, Andrei K. Martyanov, Alexey A. Filkova, Aleksandra A. Panteleev, Mikhail A. Sveshnikova, Anastasia N. Development of a Simple Kinetic Mathematical Model of Aggregation of Particles or Clustering of Receptors |
title | Development of a Simple Kinetic Mathematical Model of Aggregation of Particles or Clustering of Receptors |
title_full | Development of a Simple Kinetic Mathematical Model of Aggregation of Particles or Clustering of Receptors |
title_fullStr | Development of a Simple Kinetic Mathematical Model of Aggregation of Particles or Clustering of Receptors |
title_full_unstemmed | Development of a Simple Kinetic Mathematical Model of Aggregation of Particles or Clustering of Receptors |
title_short | Development of a Simple Kinetic Mathematical Model of Aggregation of Particles or Clustering of Receptors |
title_sort | development of a simple kinetic mathematical model of aggregation of particles or clustering of receptors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345685/ https://www.ncbi.nlm.nih.gov/pubmed/32604803 http://dx.doi.org/10.3390/life10060097 |
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