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Predictive Model of Lymphocyte-Specific Protein Tyrosine Kinase (LCK) Autoregulation
Lymphocyte-specific protein tyrosine kinase (LCK) is a key activator of T cells; however, little is known about the specific autoregulatory mechanisms that control its activity. We have constructed a model of LCK autophosphorylation and phosphorylation by the regulating kinase CSK. The model was fit...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978775/ https://www.ncbi.nlm.nih.gov/pubmed/27547268 http://dx.doi.org/10.1007/s12195-016-0438-7 |
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author | Rohrs, Jennifer A. Wang, Pin Finley, Stacey D. |
author_facet | Rohrs, Jennifer A. Wang, Pin Finley, Stacey D. |
author_sort | Rohrs, Jennifer A. |
collection | PubMed |
description | Lymphocyte-specific protein tyrosine kinase (LCK) is a key activator of T cells; however, little is known about the specific autoregulatory mechanisms that control its activity. We have constructed a model of LCK autophosphorylation and phosphorylation by the regulating kinase CSK. The model was fit to existing experimental data in the literature that presents an in vitro reconstituted membrane system, which provides more physiologically relevant kinetic measurements than traditional solution-based systems. The model is able to predict a robust mechanism of LCK autoregulation. It provides insights into the molecular causes of key site-specific phosphorylation differences between distinct experimental conditions. Probing the model also provides new hypotheses regarding the influence of individual binding and catalytic rates, which can be tested experimentally. This minimal model is required to elucidate the mechanistic interactions of LCK and CSK and can be further expanded to better understand T cell activation from a systems perspective. Our computational model enables the evaluation of LCK protein interactions that mediate T cell activation on a more quantitative level, providing new insights and testable hypotheses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s12195-016-0438-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4978775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-49787752016-08-18 Predictive Model of Lymphocyte-Specific Protein Tyrosine Kinase (LCK) Autoregulation Rohrs, Jennifer A. Wang, Pin Finley, Stacey D. Cell Mol Bioeng Article Lymphocyte-specific protein tyrosine kinase (LCK) is a key activator of T cells; however, little is known about the specific autoregulatory mechanisms that control its activity. We have constructed a model of LCK autophosphorylation and phosphorylation by the regulating kinase CSK. The model was fit to existing experimental data in the literature that presents an in vitro reconstituted membrane system, which provides more physiologically relevant kinetic measurements than traditional solution-based systems. The model is able to predict a robust mechanism of LCK autoregulation. It provides insights into the molecular causes of key site-specific phosphorylation differences between distinct experimental conditions. Probing the model also provides new hypotheses regarding the influence of individual binding and catalytic rates, which can be tested experimentally. This minimal model is required to elucidate the mechanistic interactions of LCK and CSK and can be further expanded to better understand T cell activation from a systems perspective. Our computational model enables the evaluation of LCK protein interactions that mediate T cell activation on a more quantitative level, providing new insights and testable hypotheses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s12195-016-0438-7) contains supplementary material, which is available to authorized users. Springer US 2016-04-26 2016 /pmc/articles/PMC4978775/ /pubmed/27547268 http://dx.doi.org/10.1007/s12195-016-0438-7 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Rohrs, Jennifer A. Wang, Pin Finley, Stacey D. Predictive Model of Lymphocyte-Specific Protein Tyrosine Kinase (LCK) Autoregulation |
title | Predictive Model of Lymphocyte-Specific Protein Tyrosine Kinase (LCK) Autoregulation |
title_full | Predictive Model of Lymphocyte-Specific Protein Tyrosine Kinase (LCK) Autoregulation |
title_fullStr | Predictive Model of Lymphocyte-Specific Protein Tyrosine Kinase (LCK) Autoregulation |
title_full_unstemmed | Predictive Model of Lymphocyte-Specific Protein Tyrosine Kinase (LCK) Autoregulation |
title_short | Predictive Model of Lymphocyte-Specific Protein Tyrosine Kinase (LCK) Autoregulation |
title_sort | predictive model of lymphocyte-specific protein tyrosine kinase (lck) autoregulation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978775/ https://www.ncbi.nlm.nih.gov/pubmed/27547268 http://dx.doi.org/10.1007/s12195-016-0438-7 |
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