Next Article in Journal
Could Proteomics Become a Future Useful Tool to Shed Light on the Mechanisms of Rare Neurodegenerative Disorders?
Previous Article in Journal
Development and Validation of an Ultrasensitive Procalcitonin Sandwich Immunoassay
Article Menu
Issue 1 (March) cover image

Export Article

Open AccessReview
High-Throughput 2018, 7(1), 1; https://doi.org/10.3390/ht7010001

Gradient Material Strategies for Hydrogel Optimization in Tissue Engineering Applications

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
Received: 6 December 2017 / Revised: 30 December 2017 / Accepted: 2 January 2018 / Published: 4 January 2018
View Full-Text   |   Download PDF [1520 KB, uploaded 4 January 2018]   |  

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. View Full-Text
Keywords: gradient; combinatorial method; cell–material interface gradient; combinatorial method; cell–material interface
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Smith Callahan, L.A. Gradient Material Strategies for Hydrogel Optimization in Tissue Engineering Applications. High-Throughput 2018, 7, 1.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
High-Throughput EISSN 2571-5135 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top