Quantifying cell transitions in C. elegans with data-fitted landscape models.

Increasing interest has emerged in new mathematical approaches that simplify the study of complex differentiation processes by formalizing Waddington's landscape metaphor. However, a rational method to build these landscape models remains an open problem. Here we study vulval development in C....

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Autores principales:	Elena Camacho-Aguilar, Aryeh Warmflash, David A Rand
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/fd91e618146c4d8cbff6c12a54209aa2
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id	oai:doaj.org-article:fd91e618146c4d8cbff6c12a54209aa2
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spelling	oai:doaj.org-article:fd91e618146c4d8cbff6c12a54209aa22021-12-02T19:57:52ZQuantifying cell transitions in C. elegans with data-fitted landscape models.1553-734X1553-735810.1371/journal.pcbi.1009034https://doaj.org/article/fd91e618146c4d8cbff6c12a54209aa22021-06-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009034https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Increasing interest has emerged in new mathematical approaches that simplify the study of complex differentiation processes by formalizing Waddington's landscape metaphor. However, a rational method to build these landscape models remains an open problem. Here we study vulval development in C. elegans by developing a framework based on Catastrophe Theory (CT) and approximate Bayesian computation (ABC) to build data-fitted landscape models. We first identify the candidate qualitative landscapes, and then use CT to build the simplest model consistent with the data, which we quantitatively fit using ABC. The resulting model suggests that the underlying mechanism is a quantifiable two-step decision controlled by EGF and Notch-Delta signals, where a non-vulval/vulval decision is followed by a bistable transition to the two vulval states. This new model fits a broad set of data and makes several novel predictions.Elena Camacho-AguilarAryeh WarmflashDavid A RandPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 6, p e1009034 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Elena Camacho-Aguilar Aryeh Warmflash David A Rand Quantifying cell transitions in C. elegans with data-fitted landscape models.
description	Increasing interest has emerged in new mathematical approaches that simplify the study of complex differentiation processes by formalizing Waddington's landscape metaphor. However, a rational method to build these landscape models remains an open problem. Here we study vulval development in C. elegans by developing a framework based on Catastrophe Theory (CT) and approximate Bayesian computation (ABC) to build data-fitted landscape models. We first identify the candidate qualitative landscapes, and then use CT to build the simplest model consistent with the data, which we quantitatively fit using ABC. The resulting model suggests that the underlying mechanism is a quantifiable two-step decision controlled by EGF and Notch-Delta signals, where a non-vulval/vulval decision is followed by a bistable transition to the two vulval states. This new model fits a broad set of data and makes several novel predictions.
format	article
author	Elena Camacho-Aguilar Aryeh Warmflash David A Rand
author_facet	Elena Camacho-Aguilar Aryeh Warmflash David A Rand
author_sort	Elena Camacho-Aguilar
title	Quantifying cell transitions in C. elegans with data-fitted landscape models.
title_short	Quantifying cell transitions in C. elegans with data-fitted landscape models.
title_full	Quantifying cell transitions in C. elegans with data-fitted landscape models.
title_fullStr	Quantifying cell transitions in C. elegans with data-fitted landscape models.
title_full_unstemmed	Quantifying cell transitions in C. elegans with data-fitted landscape models.
title_sort	quantifying cell transitions in c. elegans with data-fitted landscape models.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/fd91e618146c4d8cbff6c12a54209aa2
work_keys_str_mv	AT elenacamachoaguilar quantifyingcelltransitionsinceleganswithdatafittedlandscapemodels AT aryehwarmflash quantifyingcelltransitionsinceleganswithdatafittedlandscapemodels AT davidarand quantifyingcelltransitionsinceleganswithdatafittedlandscapemodels
_version_	1718375819284316160

Quantifying cell transitions in C. elegans with data-fitted landscape models.

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