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Initial bFGF Distribution Affects the Depth of Three-dimensional Microvessel Networks in Vitro

机译:初始bFGF分布会影响三维微血管网络的体外深度。

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References(15) Control of three-dimensional (3D) microvessel formation is critical for regenerative medicine and tissue engineering because vessels are essential for the formation and maintenance of organ function. In order to function, tissues need an internal network of vessels. To introduce a 3D vessel network deep into the tissue, it is necessary to introduce 3D microvessel control which makes it a critical factor in regenerative medicine and tissue engineering. This study focuses on the effect of the concentration gradient of growth factors used in seeding the endothelial cells (ECs) on the morphology of the network. First, ECs were seeded using two model environments: collagen gel containing bFGF and incubated without bFGF medium (gel-bFGF model), and collagen gel containing no bFGF and incubated with bFGF medium (medium-bFGF model). The networks were observed in 3D with confocal laser scanning microscopy. The migration of ECs on the collagen gel was analyzed to study the effect of the concentration gradient on the network formation process. We found that the ECs of the gel-bFGF model showed significantly longer migration distance and more sprouting points compared with those of the medium-bFGF model. The networks of the gel-bFGF model, expanded mainly in a depth of 20-30 μm, and many reached a depth of 50-60 μm, whereas many networks in the medium-bFGF model expanded in a depth of only 10-20 μm. These results revealed that the initial growth factor distribution affects (a) both EC migration of the network formation process and the number of sprouting points, and (b) network morphology.
机译:参考文献(15)三维(3D)微血管形成的控制对于再生医学和组织工程至关重要,因为血管对于器官功能的形成和维持至关重要。为了起作用,组织需要内部血管网络。为了将3D血管网络引入组织深处,有必要引入3D微血管控制,这使其成为再生医学和组织工程中的关键因素。这项研究的重点是用于播种内皮细胞(EC)的生长因子浓度梯度对网络形态的影响。首先,使用两种模型环境为EC接种:含bFGF的胶原蛋白凝胶并在没有bFGF培养基的情况下孵育(gel-bFGF模型),不含bFGF的胶原蛋白凝胶并与bFGF培养基一起孵育(medium-bFGF模型)。使用共聚焦激光扫描显微镜在3D模式下观察网络。分析ECs在胶原凝胶上的迁移,以研究浓度梯度对网络形成过程的影响。我们发现,与中等bFGF模型相比,gel-bFGF模型的EC表现出明显更长的迁移距离和更多的发芽点。 gel-bFGF模型的网络主要在20-30μm的深度扩展,许多达到50-60μm的深度,而中型bFGF模型的许多网络仅在10-20μm的深度扩展。这些结果表明,初始生长因子分布影响(a)网络形成过程的EC迁移和发芽点数,以及(b)网络形态。

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