Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Dey, Subrata, Ghosh, Aditi, Banerjee, Malay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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
_version_ 1785029421208436736
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
work_keys_str_mv AT deysubrata amathematicalmodelingtechniquetounderstandtheroleofdecoyreceptorsinligandreceptorinteraction
AT ghoshaditi amathematicalmodelingtechniquetounderstandtheroleofdecoyreceptorsinligandreceptorinteraction
AT banerjeemalay amathematicalmodelingtechniquetounderstandtheroleofdecoyreceptorsinligandreceptorinteraction
AT deysubrata mathematicalmodelingtechniquetounderstandtheroleofdecoyreceptorsinligandreceptorinteraction
AT ghoshaditi mathematicalmodelingtechniquetounderstandtheroleofdecoyreceptorsinligandreceptorinteraction
AT banerjeemalay mathematicalmodelingtechniquetounderstandtheroleofdecoyreceptorsinligandreceptorinteraction