
Proteoglycans, comprised of a core protein to which glycosaminoglycan chains are covalently linked, are an important structural and functional family of macromolecules found in the extracellular matrix. Advances in our understanding of biological interactions have lead to a greater appreciation for the need to design tissue engineering scaffolds that incorporate mimetics of key extracellular matrix components. A variety of synthetic and semisynthetic molecules and polymers have been examined by tissue engineers that serve as structural, chemical and biological replacements for proteoglycans. These proteoglycan mimetics have been referred to as neoproteoglycans and serve as functional and therapeutic replacements for natural proteoglycans that are often unavailable for tissue engineering studies. Although neoproteoglycans have important limitations, such as limited signaling ability and biocompatibility, they have shown promise in replacing the natural activity of proteoglycans through cell and protein binding interactions. This review focuses on the recentin vivoandin vitrotissue engineering applications of three basic types of neoproteoglycan structures, protein–glycosaminoglycan conjugates, nano‐glycosaminoglycan composites and polymer–glycosaminoglycan complexes.
Tissue Engineering, Tissue Scaffolds, Heparin, Macromolecular Substances, Hydrogel, Polyethylene Glycol Dimethacrylate, Extracellular Matrix, Nanocomposites, Biomimetic Materials, Animals, Humans, Nanoparticles, Proteoglycans, Cell Proliferation, Glycosaminoglycans, Protein Binding
Tissue Engineering, Tissue Scaffolds, Heparin, Macromolecular Substances, Hydrogel, Polyethylene Glycol Dimethacrylate, Extracellular Matrix, Nanocomposites, Biomimetic Materials, Animals, Humans, Nanoparticles, Proteoglycans, Cell Proliferation, Glycosaminoglycans, Protein Binding
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 46 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
