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Gene-free methodology for cell fate dynamics during development

Models of cell function that assign a variable to each gene frequently lead to systems of equations with many parameters whose behavior is obscure. Geometric models reduce dynamics to intuitive pictorial elements that provide compact representations for sparse in vivo data and transparent descriptio...

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Detalles Bibliográficos
Autores principales: Corson, Francis, Siggia, Eric D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5771671/
https://www.ncbi.nlm.nih.gov/pubmed/29235987
http://dx.doi.org/10.7554/eLife.30743
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author Corson, Francis
Siggia, Eric D
author_facet Corson, Francis
Siggia, Eric D
author_sort Corson, Francis
collection PubMed
description Models of cell function that assign a variable to each gene frequently lead to systems of equations with many parameters whose behavior is obscure. Geometric models reduce dynamics to intuitive pictorial elements that provide compact representations for sparse in vivo data and transparent descriptions of developmental transitions. To illustrate, a geometric model fit to vulval development in Caenorhabditis elegans, implies a phase diagram where cell-fate choices are displayed in a plane defined by EGF and Notch signaling levels. This diagram defines allowable and forbidden cell-fate transitions as EGF or Notch levels change, and explains surprising observations previously attributed to context-dependent action of these signals. The diagram also reveals the existence of special points at which minor changes in signal levels lead to strong epistatic interactions between EGF and Notch. Our model correctly predicts experiments near these points and suggests specific timed perturbations in signals that can lead to additional unexpected outcomes.
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spelling pubmed-57716712018-01-19 Gene-free methodology for cell fate dynamics during development Corson, Francis Siggia, Eric D eLife Developmental Biology Models of cell function that assign a variable to each gene frequently lead to systems of equations with many parameters whose behavior is obscure. Geometric models reduce dynamics to intuitive pictorial elements that provide compact representations for sparse in vivo data and transparent descriptions of developmental transitions. To illustrate, a geometric model fit to vulval development in Caenorhabditis elegans, implies a phase diagram where cell-fate choices are displayed in a plane defined by EGF and Notch signaling levels. This diagram defines allowable and forbidden cell-fate transitions as EGF or Notch levels change, and explains surprising observations previously attributed to context-dependent action of these signals. The diagram also reveals the existence of special points at which minor changes in signal levels lead to strong epistatic interactions between EGF and Notch. Our model correctly predicts experiments near these points and suggests specific timed perturbations in signals that can lead to additional unexpected outcomes. eLife Sciences Publications, Ltd 2017-12-13 /pmc/articles/PMC5771671/ /pubmed/29235987 http://dx.doi.org/10.7554/eLife.30743 Text en © 2017, Corson et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Developmental Biology
Corson, Francis
Siggia, Eric D
Gene-free methodology for cell fate dynamics during development
title Gene-free methodology for cell fate dynamics during development
title_full Gene-free methodology for cell fate dynamics during development
title_fullStr Gene-free methodology for cell fate dynamics during development
title_full_unstemmed Gene-free methodology for cell fate dynamics during development
title_short Gene-free methodology for cell fate dynamics during development
title_sort gene-free methodology for cell fate dynamics during development
topic Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5771671/
https://www.ncbi.nlm.nih.gov/pubmed/29235987
http://dx.doi.org/10.7554/eLife.30743
work_keys_str_mv AT corsonfrancis genefreemethodologyforcellfatedynamicsduringdevelopment
AT siggiaericd genefreemethodologyforcellfatedynamicsduringdevelopment