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A mathematical modeling technique to understand the role of decoy receptors in ligand-receptor interaction
The ligand-receptor interaction is fundamental to many cellular processes in eukaryotic cells such as cell migration, proliferation, adhesion, signaling and so on. Cell migration is a central process in the development of organisms. Receptor induced chemo-tactic sensitivity plays an important role i...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121693/ https://www.ncbi.nlm.nih.gov/pubmed/37085701 http://dx.doi.org/10.1038/s41598-023-33596-z |
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author | Dey, Subrata Ghosh, Aditi Banerjee, Malay |
author_facet | Dey, Subrata Ghosh, Aditi Banerjee, Malay |
author_sort | Dey, Subrata |
collection | PubMed |
description | The ligand-receptor interaction is fundamental to many cellular processes in eukaryotic cells such as cell migration, proliferation, adhesion, signaling and so on. Cell migration is a central process in the development of organisms. Receptor induced chemo-tactic sensitivity plays an important role in cell migration. However, recently some receptors identified as decoy receptors, obstruct some mechanisms of certain regular receptors. DcR3 is one such important decoy receptor, generally found in glioma cell, RCC cell and many various malignant cells which obstruct some mechanism including apoptosis cell-signaling, cell inflammation, cell migration. The goal of our work is to mathematically formulate ligand-receptor interaction induced cell migration in the presence of decoy receptors. We develop here a novel mathematical model, consisting of four coupled partial differential equations which predict the movement of glioma cells due to the reaction-kinetic mechanism between regular receptors CD95, its ligand CD95L and decoy receptors DcR3 as obtained in experimental results. The aim is to measure the number of cells in the chamber’s filter for different concentrations of ligand in presence of decoy receptors and compute the distance travelled by the cells inside filter due to cell migration. Using experimental results, we validate our model which suggests that the concentration of ligands plays an important role in cell migration. |
format | Online Article Text |
id | pubmed-10121693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101216932023-04-23 A mathematical modeling technique to understand the role of decoy receptors in ligand-receptor interaction Dey, Subrata Ghosh, Aditi Banerjee, Malay Sci Rep Article The ligand-receptor interaction is fundamental to many cellular processes in eukaryotic cells such as cell migration, proliferation, adhesion, signaling and so on. Cell migration is a central process in the development of organisms. Receptor induced chemo-tactic sensitivity plays an important role in cell migration. However, recently some receptors identified as decoy receptors, obstruct some mechanisms of certain regular receptors. DcR3 is one such important decoy receptor, generally found in glioma cell, RCC cell and many various malignant cells which obstruct some mechanism including apoptosis cell-signaling, cell inflammation, cell migration. The goal of our work is to mathematically formulate ligand-receptor interaction induced cell migration in the presence of decoy receptors. We develop here a novel mathematical model, consisting of four coupled partial differential equations which predict the movement of glioma cells due to the reaction-kinetic mechanism between regular receptors CD95, its ligand CD95L and decoy receptors DcR3 as obtained in experimental results. The aim is to measure the number of cells in the chamber’s filter for different concentrations of ligand in presence of decoy receptors and compute the distance travelled by the cells inside filter due to cell migration. Using experimental results, we validate our model which suggests that the concentration of ligands plays an important role in cell migration. Nature Publishing Group UK 2023-04-21 /pmc/articles/PMC10121693/ /pubmed/37085701 http://dx.doi.org/10.1038/s41598-023-33596-z Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Dey, Subrata Ghosh, Aditi Banerjee, Malay A mathematical modeling technique to understand the role of decoy receptors in ligand-receptor interaction |
title | A mathematical modeling technique to understand the role of decoy receptors in ligand-receptor interaction |
title_full | A mathematical modeling technique to understand the role of decoy receptors in ligand-receptor interaction |
title_fullStr | A mathematical modeling technique to understand the role of decoy receptors in ligand-receptor interaction |
title_full_unstemmed | A mathematical modeling technique to understand the role of decoy receptors in ligand-receptor interaction |
title_short | A mathematical modeling technique to understand the role of decoy receptors in ligand-receptor interaction |
title_sort | mathematical modeling technique to understand the role of decoy receptors in ligand-receptor interaction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121693/ https://www.ncbi.nlm.nih.gov/pubmed/37085701 http://dx.doi.org/10.1038/s41598-023-33596-z |
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