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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...

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Autores principales: Wu, Fuqing, Su, Ri-Qi, Lai, Ying-Cheng, Wang, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2017
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
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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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