Your browser doesn't support javascript.
loading
On the origins of developmental robustness: modeling buffering mechanisms against cell-level noise.
Cano-Fernández, Hugo; Tissot, Tazzio; Brun-Usan, Miguel; Salazar-Ciudad, Isaac.
Afiliação
  • Cano-Fernández H; Genomics, Bioinformatics and Evolution group, Departament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, Barcelona 08193, Spain.
  • Tissot T; Electronics and Computer Science Department, University of Southampton, Southampton SO17 1BJ, UK.
  • Brun-Usan M; Departamento de Biologia, Universidad Autónoma de Madrid, Madrid 28049, Spain.
  • Salazar-Ciudad I; Genomics, Bioinformatics and Evolution group, Departament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, Barcelona 08193, Spain.
Development ; 150(24)2023 Dec 15.
Article em En | MEDLINE | ID: mdl-38032004
ABSTRACT
During development, cells are subject to stochastic fluctuations in their positions (i.e. cell-level noise) that can potentially lead to morphological noise (i.e. stochastic differences between morphologies that are expected to be equal, e.g. the right and left sides of bilateral organisms). In this study, we explore new and 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, despite 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 explore the effects of the shape and size of the territories on morphological noise.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Redes Reguladoras de Genes Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Redes Reguladoras de Genes Idioma: En Ano de publicação: 2023 Tipo de documento: Article