Suppr超能文献

用于组织工程应用中水凝胶优化的梯度材料策略

Gradient Material Strategies for Hydrogel Optimization in Tissue Engineering Applications.

作者信息

Smith Callahan Laura A

机构信息

The Vivian L. Smith Department of Neurosurgery, Center for Stem Cell & Regenerative Medicine, and Department of Nanomedicine and Biomedical Engineering, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.

出版信息

High Throughput. 2018 Jan 4;7(1):1. doi: 10.3390/ht7010001.

Abstract

Although a number of combinatorial/high-throughput approaches have been developed for biomaterial hydrogel optimization, a gradient sample approach is particularly well suited to identify hydrogel property thresholds that alter cellular behavior in response to interacting with the hydrogel due to reduced variation in material preparation and the ability to screen biological response over a range instead of discrete samples each containing only one condition. This review highlights recent work on cell-hydrogel interactions using a gradient material sample approach. Fabrication strategies for composition, material and mechanical property, and bioactive signaling gradient hydrogels that can be used to examine cell-hydrogel interactions will be discussed. The effects of gradients in hydrogel samples on cellular adhesion, migration, proliferation, and differentiation will then be examined, providing an assessment of the current state of the field and the potential of wider use of the gradient sample approach to accelerate our understanding of matrices on cellular behavior.

摘要

尽管已经开发了多种用于生物材料水凝胶优化的组合/高通量方法,但梯度样本方法特别适合于确定水凝胶特性阈值,这些阈值会因材料制备变化减少以及能够在一定范围内而非仅包含一种条件的离散样本上筛选生物反应,从而在与水凝胶相互作用时改变细胞行为。本综述重点介绍了使用梯度材料样本方法进行细胞 - 水凝胶相互作用的最新研究。将讨论可用于研究细胞 - 水凝胶相互作用的组成、材料和机械性能以及生物活性信号梯度水凝胶的制备策略。然后将研究水凝胶样本中的梯度对细胞粘附、迁移、增殖和分化的影响,评估该领域的当前状态以及梯度样本方法更广泛应用以加速我们对基质对细胞行为影响的理解的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/732b/5876527/1d4172b5dc88/high-throughput-07-00001-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验