The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Elucidating the mechanobiology of malignant brain tumors using a brain matrix-mimetic hyaluronic acid hydrogel platform
Open accessAbstract
Glioblastoma multiforme (GBM) is a malignant brain tumor characterized by diffuse infiltration of single cells into the brain parenchyma, which is a process that relies in part on aberrant biochemical and biophysical interactions between tumor cells and the brain extracellular matrix (ECM). A major obstacle to understanding ECM regulation of GBM invasion is the absence of model matrix systems that recapitulate the distinct composition and physical structure of brain ECM while allowing independent control of adhesive ligand density, mechanics, and microstructure. To address this need, we synthesized brain-mimetic ECMs based on hyaluronic acid (HA) with a range of stiffnesses that encompasses normal and tumorigenic brain tissue and functionalized these materials with short Arg-Gly-Asp (RGD) peptides to facilitate cell adhesion. Scanning electron micrographs of the hydrogels revealed a dense, sheet-like microstructure with apparent nanoscale porosity similar to brain extracellular space. On flat hydrogel substrates, glioma cell spreading area and actin stress fiber assembly increased strongly with increasing density of RGD peptide. Increasing HA stiffness under constant RGD density produced similar trends and increased the speed of random motility. In a three-dimensional (3D) spheroid paradigm, glioma cells invaded HA hydrogels with morphological patterns distinct from those observed on flat surfaces or in 3D collagen-based ECMs but highly reminiscent of those seen in brain slices. This material system represents a brain-mimetic model ECM with tunable ligand density and stiffness amenable to investigations of the mechanobiological regulation of brain tumor progression.
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Cites
Cell Movement Is Guided by the Rigidity of the Substrate
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“This not only mimics the native structure of brain ECM [10,79] but also profoundly influences the mode of cell motility through these matrices, as we discuss in more detail below.”
BackgroundCell adaptation to a physiologically relevant ECM mimic with different viscoelastic properties
Ghosh, K., Pan, Z., Guan, E., Ge, S., Liu, Y., Nakamura, T., Ren, X.-D., Rafailovich, M., & Clark, R. A. F. (2007) · Biomaterials · doi:10.1016/j.biomaterials.2006.09.038 · Cited by 386
Hyaluronidases in cancer biology
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“Indeed, the ability of tumor cell lines to invade and colonize HA hydrogels has been correlated with the expression of hyaluronidase [88], which can decrease steric barriers to invasion by degrading the matrix [89].”
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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
The blood-brain barrier: an engineering perspective
Wong, A. D., Ye, M., Levy, A. F., Rothstein, J. D., Bergles, D. E., & Searson, P. C. (2013) · Frontiers in Neuroengineering · doi:10.3389/fneng.2013.00007 · Cited by 662
Yi, H.-G., Jeong, Y. H., Kim, Y., Choi, Y.-J., Moon, H. E., Park, S. H., Kang, K. S., Bae, M., Jang, J., Youn, H., et al. (2019) · Nature Biomedical Engineering · doi:10.1038/s41551-019-0363-x · Cited by 634
Self-citationAdvances in multicellular spheroids formation
Cui, X., Hartanto, Y., & Zhang, H. (2017) · Journal of The Royal Society Interface · doi:10.1098/rsif.2016.0877 · Cited by 508
Janmey, P. A., Fletcher, D. A., & Reinhart-King, C. A. (2020) · Physiological Reviews · doi:10.1152/physrev.00013.2019 · Cited by 422
Metadata
- Authors
- Ananthanarayanan, B., Kim, Y., & Kumar, S.
- Venue
- Biomaterials
- Publisher
- Elsevier BV
- Published
- 2011-11
- Volume
- 32
- Issue
- 31
- Pages
- 7913-7923
- ISSN
- 0142-9612 (ISSN-L)
- OpenAlex
- W1978312684
- Cited by
- 337
- References
- 6
- FWCI
- 7.35
- Type
- journal article
- Language
- en
- Open access
- green
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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.