Deciphering the interplay between biology and physics with a finite element method-implemented vertex organoid model: A tool for the mechanical analysis of cell behavior on a spherical organoid shell.

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
PLoS Computational Biology Pub Date : 2025-01-10 eCollection Date: 2025-01-01 DOI:10.1371/journal.pcbi.1012681
Julien Laussu, Deborah Michel, Léa Magne, Stephane Segonds, Steven Marguet, Dimitri Hamel, Muriel Quaranta-Nicaise, Frederick Barreau, Emmanuel Mas, Vincent Velay, Florian Bugarin, Audrey Ferrand
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引用次数: 0

Abstract

Understanding the interplay between biology and mechanics in tissue architecture is challenging, particularly in terms of 3D tissue organization. Addressing this challenge requires a biological model enabling observations at multiple levels from cell to tissue, as well as theoretical and computational approaches enabling the generation of a synthetic model that is relevant to the biological model and allowing for investigation of the mechanical stresses experienced by the tissue. Using a monolayer human colon epithelium organoid as a biological model, freely available tools (Fiji, Cellpose, Napari, Morphonet, or Tyssue library), and the commercially available Abaqus FEM solver, we combined vertex and FEM approaches to generate a comprehensive viscoelastic finite element model of the human colon organoid and demonstrated its flexibility. We imaged human colon organoid development for 120 hours, following the evolution of the organoids from an immature to a mature morphology. According to the extracted architectural/geometric parameters of human colon organoids at various stages of tissue architecture establishment, we generated organoid active vertex models. However, this approach did not consider the mechanical aspects involved in the organoids' morphological evolution. Therefore, we applied a finite element method considering mechanical loads mimicking osmotic pressure, external solicitation, or active contraction in the vertex model by using the Abaqus FEM solver. Integration of finite element analysis (FEA) into the vertex model achieved a better fit with the biological model. Therefore, the FEM model provides a basis for depicting cell shape, tissue deformation, and cellular-level strain due to imposed stresses. In conclusion, we demonstrated that a combination of vertex and FEM approaches, combining geometrical and mechanical parameters, improves modeling of alterations in organoid morphology over time and enables better assessment of the mechanical cues involved in establishing the architecture of the human colon epithelium.

用有限元方法实现顶点类器官模型解读生物学和物理学之间的相互作用:一个用于球形类器官外壳上细胞行为力学分析的工具。
理解组织结构中生物学和力学之间的相互作用是具有挑战性的,特别是在3D组织组织方面。解决这一挑战需要一个能够在从细胞到组织的多个层面上进行观察的生物模型,以及能够生成与生物模型相关的合成模型的理论和计算方法,并允许研究组织所经历的机械应力。利用单层人结肠上皮类器官作为生物模型,利用免费的工具(Fiji, Cellpose, Napari, Morphonet,或Tyssue library),以及市买的Abaqus有限元求解器,我们结合顶点法和有限元法,生成了人结肠类器官的综合粘弹性有限元模型,并证明了其灵活性。我们对人类结肠类器官的发育进行了120小时的成像,跟踪类器官从未成熟形态到成熟形态的演变。根据提取的人体结肠类器官在组织结构建立的各个阶段的结构/几何参数,生成类器官活动顶点模型。然而,这种方法没有考虑类器官形态进化中涉及的机械方面。因此,我们使用Abaqus有限元求解器在顶点模型中采用了考虑模拟渗透压、外部恳请或主动收缩的机械载荷的有限元方法。将有限元分析(FEA)集成到顶点模型中,可以更好地与生物模型拟合。因此,有限元模型为描述细胞形状、组织变形和由于施加应力而引起的细胞水平应变提供了基础。总之,我们证明了顶点和FEM方法的结合,结合几何和力学参数,改进了类器官形态随时间变化的建模,并能够更好地评估建立人类结肠上皮结构所涉及的力学线索。
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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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