On the origins of developmental robustness : Modeling buffering mechanisms against cell-level noise
Cano-Fernández, Hugo (Universitat Autònoma de Barcelona. Departament de Genètica i de Microbiologia)
Tissot, Tazzio (University of Southampton. Electronics and Computer Science Department)
Brun-Usan, Miguel (Universidad Autónoma de Madrid. Departamento de Biología)
Salazar Ciudad, Isaac (Universitat Autònoma de Barcelona. Departament de Genètica i de Microbiologia)

Fecha:	2023
Resumen:	During development, cells are subject to stochastic fluctuations in their positions (i. e. cell-level noise) which can potentially, lead to morphological noise (i. e. , stochastic differences between morphologies that are expected to be equal, like the right and left sides of bilateral organisms). In this study we explore new and already existing hypotheses on buffering mechanisms against cell-level noise. Many of these hypotheses focus on how the boundaries between territories of gene expression remain regular and well-defined in spite of cell-level noise and division. We study these hypotheses and how irregular territory boundaries lead to morphological noise. To determine the consistency of the different hypotheses we use a general computational model of development, EmbryoMaker. EmbryoMaker can implement arbitrary gene networks regulating basic cell behaviors (contraction, adhesion, etc. ), signaling and tissue biomechanics. We found that buffering mechanisms based on the orientation of cell divisions cannot lead to regular boundaries but that other buffering mechanisms can (homotypic adhesion, planar contraction, non-dividing boundaries, constant signaling and majority rule hypotheses). We also explored the effects of the shape and size of the territories on morphological noise.
Ayudas:	Agencia Estatal de Investigación PID2021-122930NB-I00 Ministerio de Ciencia e Innovación CNS2022-135397 Ministerio de Ciencia, Innovación y Universidades FPU19/01428 Agencia Estatal de Investigación CEX2020-001084-M
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Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Biomechanical Phenomena ; Cell Division ; Gene Regulatory Networks ; Noise ; Signal Transduction ; Stochastic Processes
Publicado en:	Development (Cambridge), Vol. 150, Issue 24 (December 2023) , art. dev201911, ISSN 1477-9129

DOI: 10.1242/dev.201911

28 p, 12.7 MB

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