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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2017
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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. |
format | Online Article Text |
id | pubmed-5771671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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 |