Aggregation process and numerical simulation of microfabricated tissues by using human fibroblast

MEI Yang; TANG Qiang; ZHOU Yan; TAN Wensong

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Aggregation process and numerical simulation of microfabricated tissues by using human fibroblast

更新时间：2025-12-10

- Aggregation process and numerical simulation of microfabricated tissues by using human fibroblast
- CIESC Journal Issue 3, Pages: 702-709(2009)
- 作者机构：
  
  华东理工大学生物反应器工程国家重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：05 March 2009，
  
  Published：05 March 2009
- 稿件说明：
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MEI Yang, TANG Qiang, ZHOU Yan, et al. Aggregation process and numerical simulation of microfabricated tissues by using human fibroblast[J]. CIESC Journal, 2009, (3): 702-709.
DOI：

MEI Yang, TANG Qiang, ZHOU Yan, et al. Aggregation process and numerical simulation of microfabricated tissues by using human fibroblast[J]. CIESC Journal, 2009, (3): 702-709. DOI：

摘要

微构组织的聚团尺寸影响其内部的细胞活性及体外构建大型工程化组织。采用转瓶系统，考察了皮肤成纤维细胞（human fibroblast

HF）接种密度、微载体浓度和添加抗坏血酸磷酸酯盐（L-ascorbic acid 2-phosphate

简称Vc）对微构组织形成及聚团尺寸的影响，并建立了微构组织聚团的数学模型。结果表明，微构组织的聚团过程可分为迟滞期、突跃期和稳定期，随着细胞接种密度、微载体浓度提高以及Vc的添加，微构组织的平均聚团尺寸增大，建立的数学模型能够模拟不同操作条件下微构组织形成的过程和聚团尺寸，模拟结果与实测值基本相符，为进一步调控微构组织聚团和大型工程化组织制备奠定基础。

Abstract

The viability of cells and the fabrication of large-scale engineered tissue in vitro are influenced by the aggregation of microfabricated tissue. The effects of human fibroblast seeding density

microcarrier concentration and L-ascorbic acid 2-phosphate(Vc) on the formation and size of microfabricated tissue aggregates were investigated in spinner flask. A mathematical model was developed to simulate the relationship between operation parameters and aggregate size. The results showed that the process of aggregation had three phases: lag phase

logarithmic phase and static phase. The average aggregate size of microfabricated tissue increased with the increase of cell seeding density

microcarrier concentration and addition of Vc. Good agreement was found between experimental data and mathematical simulations. Furthermore

this model can lay the foundation for the modulation of aggregate size and larger-scale engineered tissue preparation.

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