Literature DB >> 20839249

Combinatorial and high-throughput screening of biomaterials.

Carl G Simon1, Sheng Lin-Gibson.   

Abstract

Combinatorial and high-throughput methods have been increasingly used to accelerate research and development of new biomaterials. These methods involve creating miniaturized libraries that contain many specimens in one sample in the form of gradients or arrays, followed by automated data collection and analysis. This article reviews recent advances in utilizing combinatorial and high-throughput methods to better understand cell-material interactions, particularly highlighting our efforts at the NIST Polymers Division. Specifically, fabrication techniques to generate controlled surfaces (2D) and 3D cell environments (tissue engineering scaffolds) as well as methods to characterize and analyze material properties and cell-material interactions are described. In conclusion, additional opportunities for combinatorial methods for biomaterials research are noted, including streamlined sample fabrication and characterization, appropriate and automated bioassays, and data analysis.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2010        PMID: 20839249     DOI: 10.1002/adma.201001763

Source DB:  PubMed          Journal:  Adv Mater        ISSN: 0935-9648            Impact factor:   30.849


  24 in total

1.  Finding the winning combination. Combinatorial screening of three dimensional niches to guide stem cell osteogenesis.

Authors:  Adnan Memic; Ali Khademhosseini
Journal:  Organogenesis       Date:  2014-10-31       Impact factor: 2.500

2.  Primary human chondrocyte extracellular matrix formation and phenotype maintenance using RGD-derivatized PEGDM hydrogels possessing a continuous Young's modulus gradient.

Authors:  Laura A Smith Callahan; Anna M Ganios; Erin P Childers; Scott D Weiner; Matthew L Becker
Journal:  Acta Biomater       Date:  2013-01-02       Impact factor: 8.947

3.  Calcium phosphate cement with biofunctional agents and stem cell seeding for dental and craniofacial bone repair.

Authors:  WahWah Thein-Han; Jun Liu; Hockin H K Xu
Journal:  Dent Mater       Date:  2012-07-17       Impact factor: 5.304

4.  Microarrayed Materials for Stem Cells.

Authors:  Ying Mei
Journal:  Mater Today (Kidlington)       Date:  2012-10-01       Impact factor: 31.041

5.  Rapid, high resolution screening of biomaterial hydrogelators by μ2rheology.

Authors:  Kelly M Schultz; Alexandra V Bayles; Aaron D Baldwin; Kristi L Kiick; Eric M Furst
Journal:  Biomacromolecules       Date:  2011-10-31       Impact factor: 6.988

6.  3-D Scaffold Platform for Optimized Non-viral Transfection of Multipotent Stem Cells.

Authors:  Xiaohua Yu; W L Murphy
Journal:  J Mater Chem B       Date:  2014-12-14       Impact factor: 6.331

7.  Fabrication of nanofiber scaffolds with gradations in fiber organization and their potential applications.

Authors:  Jingwei Xie; Bing Ma; Praveesuda Lorwattanapongsa Michael; Franklin D Shuler
Journal:  Macromol Biosci       Date:  2012-07-30       Impact factor: 4.979

8.  Combinatorial Design of Hydrolytically Degradable, Bone-like Biocomposites Based on PHEMA and Hydroxyapatite.

Authors:  Jijun Huang; Dacheng Zhao; Smit J Dangaria; Xianghong Luan; Thomas G H Diekwisch; Guoqing Jiang; Eduardo Saiz; Gao Liu; Antoni P Tomsia
Journal:  Polymer (Guildf)       Date:  2012-12-13       Impact factor: 4.430

9.  Biocomposites of pHEMA with HA/β -TCP (60/40) for bone tissue engineering: Swelling, hydrolytic degradation, and in vitro behavior.

Authors:  Jijun Huang; Elena Ten; Gao Liu; Matthew Finzen; Wenli Yu; Janice S Lee; Eduardo Saiz; Antoni P Tomsia
Journal:  Polymer (Guildf)       Date:  2012-12-21       Impact factor: 4.430

10.  Maximizing phenotype constraint and extracellular matrix production in primary human chondrocytes using arginine-glycine-aspartate concentration gradient hydrogels.

Authors:  Laura A Smith Callahan; Erin P Childers; Sharon L Bernard; Scott D Weiner; Matthew L Becker
Journal:  Acta Biomater       Date:  2013-04-06       Impact factor: 8.947

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