The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Accelerated wound healing by injectable microporous gel scaffolds assembled from annealed building blocks
Open accessAbstract
Summary Injectable hydrogels can provide a scaffold for in situ tissue regrowth and regeneration, however these injected materials require gel degradation prior to tissue reformation limiting their ability to provide physical support. We have created a new class of injectable biomaterial that circumvents this challenge by providing an interconnected microporous network for simultaneous tissue reformation and material degradation. We assemble monodisperse micro-gel building blocks into an interconnected microporous annealed particle (MAP) scaffold. Through microfluidic formation, we tailor the chemical and physical properties of the building blocks, providing downstream control of the physical and chemical properties of the assembled MAP scaffold. In vitro, cells incorporated during MAP scaffold formation proliferated and formed extensive 3D networks within 48 hours. In vivo, the injectable MAP scaffold facilitated cell migration resulting in rapid cutaneous tissue regeneration and tissue structure formation within 5 days. The combination of microporosity and injectability achieved with MAP scaffolds will enable novel routes to tissue regeneration in vivo and tissue creation de novo.
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Lutolf, M. P., & Hubbell, J. A. (2005) · Nature Biotechnology · doi:10.1038/nbt1055 · Cited by 4,551
Differential Roles of Macrophages in Diverse Phases of Skin Repair
Lucas, T., Waisman, A., Ranjan, R., Roes, J., Krieg, T., Müller, W., Roers, A., & Eming, S. A. (2010) · The Journal of Immunology · doi:10.4049/jimmunol.0903356 · Cited by 1,205
Controlled Degradation and Mechanical Behavior of Photopolymerized Hyaluronic Acid Networks
Burdick, J. A., Chung, C., Jia, X., Randolph, M. A., & Langer, R. (2005) · Biomacromolecules · doi:10.1021/bm049508a · Cited by 777
Galler, K. M., Aulisa, L., Regan, K. R., D’Souza, R. N., & Hartgerink, J. D. (2010) · Journal of the American Chemical Society · doi:10.1021/ja910481t · Cited by 339
Cited by
Designing hydrogels for controlled drug delivery
Li, J., & Mooney, D. J. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.71 · Cited by 4,832
Modeling physiological events in 2D vs. 3D cell culture
Duval, K., Grover, H., Han, L.-H., Mou, Y., Pegoraro, A. F., Fredberg, J., & Chen, Z. (2017) · Physiology · doi:10.1152/physiol.00036.2016 · Cited by 1,849
Mechanical forces direct stem cell behaviour in development and regeneration
Vining, K. H., & Mooney, D. J. (2017) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.108 · Cited by 1,656
Liu, X., Liu, J., Lin, S., & Zhao, X. (2020) · Materials Today · doi:10.1016/j.mattod.2019.12.026 · Cited by 1,023
Biofabrication strategies for 3D in vitro models and regenerative medicine
Moroni, L., Burdick, J. A., Highley, C., Lee, S. J., Morimoto, Y., Takeuchi, S., & Yoo, J. J. (2018) · Nature Reviews Materials · doi:10.1038/s41578-018-0006-y · Cited by 753
Metadata
- Authors
- Griffin, D. R., Weaver, W. M., Scumpia, P. O., Di Carlo, D., & Segura, T.
- Venue
- Nature Materials
- Published
- 2015-06-01
- Volume
- 14
- Issue
- 7
- Pages
- 737-744
- ISSN
- 1476-1122 (ISSN-L)
- 1476-4660
- OpenAlex
- W1615617154
- Cited by
- 981
- References
- 4
- FWCI
- 24.04
- Type
- journal article
- Language
- en
- Open access
- green
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