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Engineering of a synthetic quadrastable gene network to approach Waddington landscape and cell fate determination
The process of cell fate determination has been depicted intuitively as cells travelling and resting on a rugged landscape, which has been probed by various theoretical studies. However, few studies have experimentally demonstrated how underlying gene regulatory networks shape the landscape and henc...
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/PMC5388541/ https://www.ncbi.nlm.nih.gov/pubmed/28397688 http://dx.doi.org/10.7554/eLife.23702 |
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author | Wu, Fuqing Su, Ri-Qi Lai, Ying-Cheng Wang, Xiao |
author_facet | Wu, Fuqing Su, Ri-Qi Lai, Ying-Cheng Wang, Xiao |
author_sort | Wu, Fuqing |
collection | PubMed |
description | The process of cell fate determination has been depicted intuitively as cells travelling and resting on a rugged landscape, which has been probed by various theoretical studies. However, few studies have experimentally demonstrated how underlying gene regulatory networks shape the landscape and hence orchestrate cellular decision-making in the presence of both signal and noise. Here we tested different topologies and verified a synthetic gene circuit with mutual inhibition and auto-activations to be quadrastable, which enables direct study of quadruple cell fate determination on an engineered landscape. We show that cells indeed gravitate towards local minima and signal inductions dictate cell fates through modulating the shape of the multistable landscape. Experiments, guided by model predictions, reveal that sequential inductions generate distinct cell fates by changing landscape in sequence and hence navigating cells to different final states. This work provides a synthetic biology framework to approach cell fate determination and suggests a landscape-based explanation of fixed induction sequences for targeted differentiation. DOI: http://dx.doi.org/10.7554/eLife.23702.001 |
format | Online Article Text |
id | pubmed-5388541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-53885412017-04-14 Engineering of a synthetic quadrastable gene network to approach Waddington landscape and cell fate determination Wu, Fuqing Su, Ri-Qi Lai, Ying-Cheng Wang, Xiao eLife Computational and Systems Biology The process of cell fate determination has been depicted intuitively as cells travelling and resting on a rugged landscape, which has been probed by various theoretical studies. However, few studies have experimentally demonstrated how underlying gene regulatory networks shape the landscape and hence orchestrate cellular decision-making in the presence of both signal and noise. Here we tested different topologies and verified a synthetic gene circuit with mutual inhibition and auto-activations to be quadrastable, which enables direct study of quadruple cell fate determination on an engineered landscape. We show that cells indeed gravitate towards local minima and signal inductions dictate cell fates through modulating the shape of the multistable landscape. Experiments, guided by model predictions, reveal that sequential inductions generate distinct cell fates by changing landscape in sequence and hence navigating cells to different final states. This work provides a synthetic biology framework to approach cell fate determination and suggests a landscape-based explanation of fixed induction sequences for targeted differentiation. DOI: http://dx.doi.org/10.7554/eLife.23702.001 eLife Sciences Publications, Ltd 2017-04-11 /pmc/articles/PMC5388541/ /pubmed/28397688 http://dx.doi.org/10.7554/eLife.23702 Text en © 2017, Wu et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Wu, Fuqing Su, Ri-Qi Lai, Ying-Cheng Wang, Xiao Engineering of a synthetic quadrastable gene network to approach Waddington landscape and cell fate determination |
title | Engineering of a synthetic quadrastable gene network to approach Waddington landscape and cell fate determination |
title_full | Engineering of a synthetic quadrastable gene network to approach Waddington landscape and cell fate determination |
title_fullStr | Engineering of a synthetic quadrastable gene network to approach Waddington landscape and cell fate determination |
title_full_unstemmed | Engineering of a synthetic quadrastable gene network to approach Waddington landscape and cell fate determination |
title_short | Engineering of a synthetic quadrastable gene network to approach Waddington landscape and cell fate determination |
title_sort | engineering of a synthetic quadrastable gene network to approach waddington landscape and cell fate determination |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5388541/ https://www.ncbi.nlm.nih.gov/pubmed/28397688 http://dx.doi.org/10.7554/eLife.23702 |
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