Mathematical modeling deciphering balance between cell survival and cell death using insulin
When modelling cell signalling networks, a balance must be struck between mechanistic detail and ease of interpretation. In this paper we apply a deterministic numerical method to the analysis of a large, systematic dataset describing the dynamics of cell signalling downstream of, tumor necrosis fac...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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International Academy of Ecology and Environmental Sciences
2011-06-01
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| Series: | Network Biology |
| Subjects: | |
| Online Access: | http://www.iaees.org/publications/journals/nb/articles/2011-1(1)/Mathematical-modeling-deciphering-balance.pdf |
| _version_ | 1831692708176986112 |
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| author | Shruti Jain Sunil V. Bhooshan Pradeep K. Naik |
| author_facet | Shruti Jain Sunil V. Bhooshan Pradeep K. Naik |
| author_sort | Shruti Jain |
| collection | DOAJ |
| description | When modelling cell signalling networks, a balance must be struck between mechanistic detail and ease of interpretation. In this paper we apply a deterministic numerical method to the analysis of a large, systematic dataset describing the dynamics of cell signalling downstream of, tumor necrosis factor-a (TNF), epidermal growth factor (EGF), and insulin receptors in human colon carcinoma cells. Deterministic modeling is useful as a means to assemble and test what we know about proteins and networks. We extensively study the space of parameters to show that the model is structurally stable and robust over a broad range of parameter values. We have made the biological view of the main paths of the insulin input showing cell survival and cell death. Than with the help of different parameters relating to that protein present in the model we have designed scheme of the biochemical paths/deterministic model. With those parameters equations were formed which vary with time i.e. differential equation. Thus, our model is suitable for implementation in multi-scale simulation programs that are presently under development to study the behavior of large tumor cell populations. |
| first_indexed | 2024-12-20T11:59:23Z |
| format | Article |
| id | doaj.art-87242fc53dae48b69132f0e247d9e87a |
| institution | Directory Open Access Journal |
| issn | 2220-8879 |
| language | English |
| last_indexed | 2024-12-20T11:59:23Z |
| publishDate | 2011-06-01 |
| publisher | International Academy of Ecology and Environmental Sciences |
| record_format | Article |
| series | Network Biology |
| spelling | doaj.art-87242fc53dae48b69132f0e247d9e87a2022-12-21T19:41:35ZengInternational Academy of Ecology and Environmental SciencesNetwork Biology2220-88792011-06-01114658Mathematical modeling deciphering balance between cell survival and cell death using insulinShruti JainSunil V. BhooshanPradeep K. NaikWhen modelling cell signalling networks, a balance must be struck between mechanistic detail and ease of interpretation. In this paper we apply a deterministic numerical method to the analysis of a large, systematic dataset describing the dynamics of cell signalling downstream of, tumor necrosis factor-a (TNF), epidermal growth factor (EGF), and insulin receptors in human colon carcinoma cells. Deterministic modeling is useful as a means to assemble and test what we know about proteins and networks. We extensively study the space of parameters to show that the model is structurally stable and robust over a broad range of parameter values. We have made the biological view of the main paths of the insulin input showing cell survival and cell death. Than with the help of different parameters relating to that protein present in the model we have designed scheme of the biochemical paths/deterministic model. With those parameters equations were formed which vary with time i.e. differential equation. Thus, our model is suitable for implementation in multi-scale simulation programs that are presently under development to study the behavior of large tumor cell populations.http://www.iaees.org/publications/journals/nb/articles/2011-1(1)/Mathematical-modeling-deciphering-balance.pdftumor necrosis factor-αepidermal growth factorinsulinsignalingbiological view |
| spellingShingle | Shruti Jain Sunil V. Bhooshan Pradeep K. Naik Mathematical modeling deciphering balance between cell survival and cell death using insulin Network Biology tumor necrosis factor-α epidermal growth factor insulin signaling biological view |
| title | Mathematical modeling deciphering balance between cell survival and cell death using insulin |
| title_full | Mathematical modeling deciphering balance between cell survival and cell death using insulin |
| title_fullStr | Mathematical modeling deciphering balance between cell survival and cell death using insulin |
| title_full_unstemmed | Mathematical modeling deciphering balance between cell survival and cell death using insulin |
| title_short | Mathematical modeling deciphering balance between cell survival and cell death using insulin |
| title_sort | mathematical modeling deciphering balance between cell survival and cell death using insulin |
| topic | tumor necrosis factor-α epidermal growth factor insulin signaling biological view |
| url | http://www.iaees.org/publications/journals/nb/articles/2011-1(1)/Mathematical-modeling-deciphering-balance.pdf |
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