基于水凝胶的生物打印新软件工具

A. Robu, Nicolae Robu, A. Neagu
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引用次数: 4

摘要

组织工程试图通过在实验室中构建组织和器官来解决供体器官短缺的问题。组织工程的一个强有力的方法是三维(3D)生物打印——一种细胞和生物材料的数字控制沉积。然而,生物打印的结果取决于随后由发育生物学机制控制的细胞运动。这项工作提出了新的信息学工具,用于预测生物打印结构的打印后形成。我们扩展了SIMMMC应用程序,该应用程序用于模拟基于支架的组织工程中的细胞重排,并添加了新的模块,用于建模和模拟由细胞、水凝胶和细胞培养基组成的生物打印组织结构的演变。我们采用了Metropolis蒙特卡罗算法,它是我们模拟的基础,这样它就考虑了系统中所有元素之间相互作用的能量。我们还创建了一个模块,该模块在加载XYZ文件后自动生成制造组织结构的3D模型。因此,我们有可能在我们的平台上集成许多生物打印组织结构的架构。为了验证我们的新软件组件,我们生成了两个在实验中使用的模型,并模拟了它们的演变,在实验和模拟之间找到了定性的一致。通过测试打印头的不同路径以及不同的细胞-细胞和细胞-水凝胶相互作用,这里提供的软件包可用于优化基于挤出的生物打印。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Software Tools for Hydrogel-Based Bioprinting
Tissue engineering seeks to solve the problem of donor organ shortage by building tissues and organs in the laboratory. A powerful approach to tissue engineering is three-dimensional (3D) bioprinting-a numerically controlled deposition of cells and biomaterials. The outcome of bioprinting, however, depends on subsequent cell movements governed by mechanisms known from developmental biology. This work presents new informatics tools for predicting post-printing structure formation in bioprinted constructs. We extended the SIMMMC application, developed for simulating cell rearrangements in scaffold-based tissue engineering, with new modules for modeling and simulating the evolution of bioprinted tissue constructs, composed of cells, hydrogels, and cell culture medium. We adapted the Metropolis Monte Carlo algorithm, which lies at the basis of our simulations, such that it takes into consideration the energies of interaction between all the elements of the system. We also created a module that generates automatically the 3D models of fabricated tissue constructs, after loading an XYZ file. Thus, we have the possibility to integrate in our platform many architectures of bioprinted tissue constructs. To validate our new software components, we generated two models used in experiments and simulated their evolution, finding a qualitative agreement between experiments and simulations. The software packages presented here might be used to optimize extrusion-based bioprinting by testing various paths of the print head and diverse cell-cell and cell-hydrogel interactions.
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