High-throughput design of cultured tissue moulds using a biophysical model: optimising cell alignment.

IF 2 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Physical biology Pub Date : 2023-10-30 DOI:10.1088/1478-3975/ad0276
James P Hague, Allison E Andrews, Hugh Dickinson
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引用次数: 1

Abstract

The technique presented here identifies tethered mould designs, optimised for growing cultured tissue with very highly-aligned cells. It is based on a microscopic biophysical model for polarised cellular hydrogels. There is an unmet need for tools to assist mould and scaffold designs for the growth of cultured tissues with bespoke cell organisations, that can be used in applications such as regenerative medicine, drug screening and cultured meat. High-throughput biophysical calculations were made for a wide variety of computer-generated moulds, with cell-matrix interactions and tissue-scale forces simulated using a contractile network dipole orientation model. Elongated moulds with central broadening and one of the following tethering strategies are found to lead to highly-aligned cells: (1) tethers placed within the bilateral protrusions resulting from an indentation on the short edge, to guide alignment (2) tethers placed within a single vertex to shrink the available space for misalignment. As such, proof-of-concept has been shown for mould and tethered scaffold design based on a recently developed biophysical model. The approach is applicable to a broad range of cell types that align in tissues and is extensible for 3D scaffolds.

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使用生物物理模型对培养的组织模具进行高通量设计:优化细胞排列。
这里介绍的技术确定了系留模具设计,该设计针对培养具有高度排列细胞的组织进行了优化。它基于极化细胞水凝胶的微观生物物理模型。目前还没有满足对辅助模具和支架设计的工具的需求,这些工具可以用于再生医学、药物筛选和培养肉等应用中,用于定制细胞组织的培养组织的生长。对各种计算机生成的模具进行了高通量生物物理计算,使用收缩网络偶极子定向模型模拟了细胞-基质相互作用和组织尺度力。发现具有中心加宽和以下系留策略之一的细长模具可导致细胞高度对齐:(1)将系留物放置在由短边缘上的压痕形成的双侧突起内,以引导对齐(2)将系住物放置在单个顶点内,以缩小未对齐的可用空间。因此,基于最近开发的生物物理模型,模具和系留支架的设计已经得到了概念验证。该方法适用于在组织中排列的广泛细胞类型,并且可扩展用于3D支架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physical biology
Physical biology 生物-生物物理
CiteScore
4.20
自引率
0.00%
发文量
50
审稿时长
3 months
期刊介绍: Physical Biology publishes articles in the broad interdisciplinary field bridging biology with the physical sciences and engineering. This journal focuses on research in which quantitative approaches – experimental, theoretical and modeling – lead to new insights into biological systems at all scales of space and time, and all levels of organizational complexity. Physical Biology accepts contributions from a wide range of biological sub-fields, including topics such as: molecular biophysics, including single molecule studies, protein-protein and protein-DNA interactions subcellular structures, organelle dynamics, membranes, protein assemblies, chromosome structure intracellular processes, e.g. cytoskeleton dynamics, cellular transport, cell division systems biology, e.g. signaling, gene regulation and metabolic networks cells and their microenvironment, e.g. cell mechanics and motility, chemotaxis, extracellular matrix, biofilms cell-material interactions, e.g. biointerfaces, electrical stimulation and sensing, endocytosis cell-cell interactions, cell aggregates, organoids, tissues and organs developmental dynamics, including pattern formation and morphogenesis physical and evolutionary aspects of disease, e.g. cancer progression, amyloid formation neuronal systems, including information processing by networks, memory and learning population dynamics, ecology, and evolution collective action and emergence of collective phenomena.
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