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Building predictive signaling models by perturbing yeast cells with time-varying stimulations resulting in distinct signaling responses

This protocol provides a step-by-step approach to perturb single cells with time-varying stimulation profiles, collect distinct signaling responses, and use these to infer a system of ordinary differential equations to capture and predict dynamics of protein-protein regulation in signal transduction...

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Detalles Bibliográficos
Autores principales: Jashnsaz, Hossein, Fox, Zachary R., Munsky, Brian, Neuert, Gregor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273411/
https://www.ncbi.nlm.nih.gov/pubmed/34286292
http://dx.doi.org/10.1016/j.xpro.2021.100660
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author Jashnsaz, Hossein
Fox, Zachary R.
Munsky, Brian
Neuert, Gregor
author_facet Jashnsaz, Hossein
Fox, Zachary R.
Munsky, Brian
Neuert, Gregor
author_sort Jashnsaz, Hossein
collection PubMed
description This protocol provides a step-by-step approach to perturb single cells with time-varying stimulation profiles, collect distinct signaling responses, and use these to infer a system of ordinary differential equations to capture and predict dynamics of protein-protein regulation in signal transduction pathways. The models are validated by predicting the signaling activation upon new cell stimulation conditions. In comparison to using standard step-like stimulations, application of diverse time-varying cell stimulations results in better inference of model parameters and substantially improves model predictions. For complete details on the use and results of this protocol, please refer to Jashnsaz et al. (2020).
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spelling pubmed-82734112021-07-19 Building predictive signaling models by perturbing yeast cells with time-varying stimulations resulting in distinct signaling responses Jashnsaz, Hossein Fox, Zachary R. Munsky, Brian Neuert, Gregor STAR Protoc Protocol This protocol provides a step-by-step approach to perturb single cells with time-varying stimulation profiles, collect distinct signaling responses, and use these to infer a system of ordinary differential equations to capture and predict dynamics of protein-protein regulation in signal transduction pathways. The models are validated by predicting the signaling activation upon new cell stimulation conditions. In comparison to using standard step-like stimulations, application of diverse time-varying cell stimulations results in better inference of model parameters and substantially improves model predictions. For complete details on the use and results of this protocol, please refer to Jashnsaz et al. (2020). Elsevier 2021-07-07 /pmc/articles/PMC8273411/ /pubmed/34286292 http://dx.doi.org/10.1016/j.xpro.2021.100660 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Jashnsaz, Hossein
Fox, Zachary R.
Munsky, Brian
Neuert, Gregor
Building predictive signaling models by perturbing yeast cells with time-varying stimulations resulting in distinct signaling responses
title Building predictive signaling models by perturbing yeast cells with time-varying stimulations resulting in distinct signaling responses
title_full Building predictive signaling models by perturbing yeast cells with time-varying stimulations resulting in distinct signaling responses
title_fullStr Building predictive signaling models by perturbing yeast cells with time-varying stimulations resulting in distinct signaling responses
title_full_unstemmed Building predictive signaling models by perturbing yeast cells with time-varying stimulations resulting in distinct signaling responses
title_short Building predictive signaling models by perturbing yeast cells with time-varying stimulations resulting in distinct signaling responses
title_sort building predictive signaling models by perturbing yeast cells with time-varying stimulations resulting in distinct signaling responses
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273411/
https://www.ncbi.nlm.nih.gov/pubmed/34286292
http://dx.doi.org/10.1016/j.xpro.2021.100660
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