Cargando…
Gain and loss of function mutations in biological chemical reaction networks: a mathematical model with application to colorectal cancer cells
This paper studies a system of Ordinary Differential Equations modeling a chemical reaction network and derives from it a simulation tool mimicking Loss of Function and Gain of Function mutations found in cancer cells. More specifically, from a theoretical perspective, our approach focuses on the de...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096774/ https://www.ncbi.nlm.nih.gov/pubmed/33945019 http://dx.doi.org/10.1007/s00285-021-01607-0 |
_version_ | 1783688213772107776 |
---|---|
author | Sommariva, Sara Caviglia, Giacomo Piana, Michele |
author_facet | Sommariva, Sara Caviglia, Giacomo Piana, Michele |
author_sort | Sommariva, Sara |
collection | PubMed |
description | This paper studies a system of Ordinary Differential Equations modeling a chemical reaction network and derives from it a simulation tool mimicking Loss of Function and Gain of Function mutations found in cancer cells. More specifically, from a theoretical perspective, our approach focuses on the determination of moiety conservation laws for the system and their relation with the corresponding stoichiometric surfaces. Then we show that Loss of Function mutations can be implemented in the model via modification of the initial conditions in the system, while Gain of Function mutations can be implemented by eliminating specific reactions. Finally, the model is utilized to examine in detail the G1-S phase of a colorectal cancer cell. |
format | Online Article Text |
id | pubmed-8096774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-80967742021-05-05 Gain and loss of function mutations in biological chemical reaction networks: a mathematical model with application to colorectal cancer cells Sommariva, Sara Caviglia, Giacomo Piana, Michele J Math Biol Article This paper studies a system of Ordinary Differential Equations modeling a chemical reaction network and derives from it a simulation tool mimicking Loss of Function and Gain of Function mutations found in cancer cells. More specifically, from a theoretical perspective, our approach focuses on the determination of moiety conservation laws for the system and their relation with the corresponding stoichiometric surfaces. Then we show that Loss of Function mutations can be implemented in the model via modification of the initial conditions in the system, while Gain of Function mutations can be implemented by eliminating specific reactions. Finally, the model is utilized to examine in detail the G1-S phase of a colorectal cancer cell. Springer Berlin Heidelberg 2021-05-04 2021 /pmc/articles/PMC8096774/ /pubmed/33945019 http://dx.doi.org/10.1007/s00285-021-01607-0 Text en © The Author(s) 2021 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 Sommariva, Sara Caviglia, Giacomo Piana, Michele Gain and loss of function mutations in biological chemical reaction networks: a mathematical model with application to colorectal cancer cells |
title | Gain and loss of function mutations in biological chemical reaction networks: a mathematical model with application to colorectal cancer cells |
title_full | Gain and loss of function mutations in biological chemical reaction networks: a mathematical model with application to colorectal cancer cells |
title_fullStr | Gain and loss of function mutations in biological chemical reaction networks: a mathematical model with application to colorectal cancer cells |
title_full_unstemmed | Gain and loss of function mutations in biological chemical reaction networks: a mathematical model with application to colorectal cancer cells |
title_short | Gain and loss of function mutations in biological chemical reaction networks: a mathematical model with application to colorectal cancer cells |
title_sort | gain and loss of function mutations in biological chemical reaction networks: a mathematical model with application to colorectal cancer cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096774/ https://www.ncbi.nlm.nih.gov/pubmed/33945019 http://dx.doi.org/10.1007/s00285-021-01607-0 |
work_keys_str_mv | AT sommarivasara gainandlossoffunctionmutationsinbiologicalchemicalreactionnetworksamathematicalmodelwithapplicationtocolorectalcancercells AT cavigliagiacomo gainandlossoffunctionmutationsinbiologicalchemicalreactionnetworksamathematicalmodelwithapplicationtocolorectalcancercells AT pianamichele gainandlossoffunctionmutationsinbiologicalchemicalreactionnetworksamathematicalmodelwithapplicationtocolorectalcancercells |