4.8 Article

Biomimetic Self-Templated Hierarchical Structures of Collagen-Like Peptide Amphiphiles

Journal

NANO LETTERS
Volume 15, Issue 10, Pages 7138-7145

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.nanolett.5b03313

Keywords

self-templating; biomimetic hierarchical structure; collagen-like peptide amphiphile; nanofiber; liquid crystalline assembly; tissue regeneration

Funding

  1. National Science Foundation Early Career Development Award [DMR-0747713]
  2. U.S. Army Engineering Research Development Center [W912HZ-11-2-0047]
  3. Basic Science Research Program through the National Research Foundation of Korea (NRP) - Ministry of Science, ICT AMP
  4. Future Planning [2015037593]

Ask authors/readers for more resources

Developing hierarchically structured biomaterials with tunable chemical and physical properties like those found in nature is critically important to regenerative medicine and studies on tissue morphogenesis. Despite advances in materials synthesis and assembly processes, our ability to control hierarchical assembly using fibrillar biomolecules remains limited. Here, we developed a bioinspired approach to create collagen-like materials through directed evolutionary screening and directed self-assembly. We first synthesized peptide amphiphiles by coupling phage display-identified collagen-like peptides to long-chain fatty acids. We then assembled the amphiphiles into diverse, hierarchically organized, nanofibrous structures using directed self-assembly based on liquid crystal flow and its controlled deposition. The resulting structures sustained and directed the growth of bone cells and hydroxyapatite biominerals. We believe these self-assembling collagen-like amphiphiles could prove useful in the structural design of tissue regenerating materials.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available