The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Remote Magnetic Orientation of 3D Collagen Hydrogels for Directed Neuronal Regeneration
Abstract
Hydrogel matrices are valuable platforms for neuronal tissue engineering. Orienting gel fibers to achieve a directed scaffold is important for effective functional neuronal regeneration. However, current methods are limited and require treatment of gels prior to implantation, ex-vivo, without taking into consideration the pathology in the injured site. We have developed a method to control gel orientation dynamically and remotely in situ. We have mixed into collagen hydrogels magnetic nanoparticles then applied an external magnetic field. During the gelation period the magnetic particles aggregated into magnetic particle strings, leading to the alignment of the collagen fibers. We have shown that neurons within the 3D magnetically induced gels exhibited normal electrical activity and viability. Importantly, neurons formed elongated cooriented morphology, relying on the particle strings and fibers as supportive cues for growth. The ability to inject the mixed gel directly into the injured site as a solution then to control scaffold orientation remotely opens future possibilities for therapeutic engineered scaffolds.
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Cites
Hydrogels for Tissue Engineering
Lee, K. Y., & Mooney, D. J. (2001) · Chemical Reviews · doi:10.1021/cr000108x · Cited by 5,277
Yang, F., Murugan, R., Wang, S., & Ramakrishna, S. (2005) · Biomaterials · doi:10.1016/j.biomaterials.2004.06.051 · Cited by 1,804
Neural Tissue Engineering: Strategies for Repair and Regeneration
Schmidt, C. E., & Leach, J. B. (2003) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.5.011303.120731 · Cited by 1,237
Longair, M. H., Baker, D. A., & Armstrong, J. D. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr390 · Cited by 970
(2008) · Springer eBooks · doi:10.1007/978-0-387-73906-9 · Cited by 827
Neurite branching on deformable substrates
Flanagan, L. A., Ju, Y.-E., Marg, B., Osterfield, M., & Janmey, P. A. (2002) · NeuroReport · doi:10.1097/00001756-200212200-00007 · Cited by 759
Christopherson, G. T., Song, H., & Mao, H.-Q. (2009) · Biomaterials · doi:10.1016/j.biomaterials.2008.10.004 · Cited by 755
Georges, P. C., Miller, W. J., Meaney, D. F., Sawyer, E. S., & Janmey, P. A. (2006) · Biophysical Journal · doi:10.1529/biophysj.105.073114 · Cited by 724
Magnetic Hydrogels and Their Potential Biomedical Applications
Li, Y., Huang, G., Zhang, X., Li, B., Chen, Y., Lu, T., Lu, T. J., & Xu, F. (2013) · Advanced Functional Materials · doi:10.1002/adfm.201201708 · Cited by 721
Huber, A. B., Kolodkin, A. L., Ginty, D. D., & Cloutier, J.-F. (2003) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.26.010302.081139 · Cited by 719
Cited by
Functional and Biomimetic Materials for Engineering of the Three-Dimensional Cell Microenvironment
Huang, G., Li, F., Zhao, X., Ma, Y., Li, Y., Lin, M., Jin, G., Lu, T. J., Genin, G. M., & Xu, F. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00094 · Cited by 825
Neural recording and modulation technologies
Chen, R., Canales, A., & Anikeeva, P. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.93 · Cited by 655
Advanced Collagen‐Based Biomaterials for Regenerative Biomedicine
Lin, K., Zhang, D., Macedo, M. H., Cui, W., Sarmento, B., & Shen, G. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201804943 · Cited by 373
Magnetic Nanostructures: Rational Design and Fabrication Strategies toward Diverse Applications
Wang, S., Xu, J., Li, W., Sun, S., Gao, S., & Hou, Y. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00370 · Cited by 129
Biomedical Implants with Charge‐Transfer Monitoring and Regulating Abilities
Wang, D., Tan, J., Zhu, H., Mei, Y., & Liu, X. (2021) · Advanced Science · doi:10.1002/advs.202004393 · Cited by 49
Metadata
- Authors
- Antman-Passig, M., & Shefi, O.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-03-07
- Volume
- 16
- Issue
- 4
- Pages
- 2567-2573
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2289120869
- Cited by
- 283
- References
- 49
- FWCI
- 9.78
- Type
- journal article
- Language
- en
- Open access
- closed
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- Antman-Passig, M., & Shefi, O. (2016). Remote Magnetic Orientation of 3D Collagen Hydrogels for Directed Neuronal Regeneration. Nano Letters. https://doi.org/10.1021/acs.nanolett.6b00131
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
