The DOI matches its Crossref record; 211 of the 211 references it cites were found in a registry or an index.
Engineering microscale topographies to control the cell–substrate interface
Open accessAbstract
Cells in their in vivo microenvironment constantly encounter and respond to a multitude of signals. While the role of biochemical signals has long been appreciated, the importance of biophysical signals has only recently been investigated. Biophysical cues are presented in different forms including topography and mechanical stiffness imparted by the extracellular matrix and adjoining cells. Microfabrication technologies have allowed for the generation of biomaterials with microscale topographies to study the effect of biophysical cues on cellular function at the cell–substrate interface. Topographies of different geometries and with varying microscale dimensions have been used to better understand cell adhesion, migration, and differentiation at the cellular and sub-cellular scales. Furthermore, quantification of cell-generated forces has been illustrated with micropillar topographies to shed light on the process of mechanotransduction. In this review, we highlight recent advances made in these areas and how they have been utilized for neural, cardiac, and musculoskeletal tissue engineering application.
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Self-citationMicrofluidic techniques for development of 3D vascularized tissue
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Metadata
- Authors
- Nikkhah, M., Edalat, F., Manoucheri, S., & Khademhosseini, A.
- Venue
- Biomaterials
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 33
- Issue
- 21
- Pages
- 5230-5246
- ISSN
- 0142-9612 (ISSN-L)
- OpenAlex
- W2051076903
- Cited by
- 640
- References
- 211
- FWCI
- 24.71
- Type
- journal article
- Language
- en
- Open access
- green
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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.
