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模拟天然细胞环境:聚合物生物材料基底上生化梯度的设计、制备及应用

Mimicking natural cell environments: design, fabrication and application of bio-chemical gradients on polymeric biomaterial substrates.

作者信息

Benetti Edmondo M, Gunnewiek Michel Klein, van Blitterswijk Clemens A, Julius Vancso G, Moroni Lorenzo

机构信息

Department of Materials Science and Technology of Polymers, MESA+ Institute for Nanotechnology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.

出版信息

J Mater Chem B. 2016 Jun 28;4(24):4244-4257. doi: 10.1039/c6tb00947f. Epub 2016 Jun 6.

Abstract

Gradients of biomolecules on synthetic, solid substrates can efficiently mimic the natural, graded variation of properties of the extracellular matrix (ECM). Such gradients represent accessible study platforms for the understanding of cellular activities, and they also provide functional supports for tissue engineering (TE). This review describes the most relevant methods to produce 2-dimensional (2D) as well as 3-dimensional (3D) gradient supports for cell manipulations, and also addresses the response of cells from different origins when seeded on these constructs. The fabrication strategies summarized encompass the combination of polymer and surface chemistries, micro- and nano-engineering construction strategies and biotechnological approaches. This multidisciplinary scheme has enabled the design and realization of diverse, synthetic supports as cellular environments, spanning from the first gradient self-assembled monolayer (SAM) to multilayers, and hybrid constructs mimicking the complexity of natural tissue environments. The standing challenge is bringing these advances in the fabrication of supports to a dynamic functioning in space and time, towards the successful imitation of the most complex bio-chemical system ever studied: our body.

摘要

合成固体基质上生物分子的梯度能够有效地模拟细胞外基质(ECM)性质的自然梯度变化。这种梯度为理解细胞活动提供了易于研究的平台,同时也为组织工程(TE)提供了功能支持。本综述描述了用于细胞操作的二维(2D)和三维(3D)梯度支持物的最相关制备方法,并探讨了不同来源的细胞接种在这些构建体上的反应。总结的制备策略包括聚合物与表面化学、微纳工程构建策略以及生物技术方法的结合。这种多学科方案使得能够设计和实现各种作为细胞环境的合成支持物,从第一个梯度自组装单分子层(SAM)到多层结构,以及模仿自然组织环境复杂性的混合构建体。目前面临的挑战是将这些支持物制造方面的进展转化为在空间和时间上的动态功能,以成功模仿有史以来研究的最复杂生化系统:我们的身体。

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