The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A surface chemistry approach to studying cell adhesion
Abstract
Model substrates that present peptide and carbohydrate ligands are becoming important mechanistic tools in cell biology. This review surveys the development of self-assembled monolayers of alkanethiolates on gold as a model substrate for studies of cell adhesion. The review begins with a background that illustrates the opportunity for using tailored substrates in biology and then addresses the characteristics that make monolayers well-suited for these studies. The review concludes with a discussion of recent work that is developing dynamic substrates wherein the activity of immobilized ligands can be modulated in real time.
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Cites
RGD AND OTHER RECOGNITION SEQUENCES FOR INTEGRINS
Ruoslahti, E. (1996) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev.cellbio.12.1.697 · Cited by 3,191
Cited by
Biomedical Applications of Layer‐by‐Layer Assembly: From Biomimetics to Tissue Engineering
Tang, Z., Wang, Y., Podsiadlo, P., & Kotov, N. A. (2006) · Advanced Materials · doi:10.1002/adma.200600113 · Cited by 1,302
Using electroactive substrates to pattern the attachment of two different cell populations
Yousaf, M. N., Houseman, B. T., & Mrksich, M. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.101112898 · Cited by 351
Self-citationSreejalekshmi, K. G., & Nair, P. D. (2011) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.32980 · Cited by 81
Bennet, D., & Kim, S. (2015) · The Analyst · doi:10.1039/c5an00979k · Cited by 17
Metadata
- Authors
- Mrksich, M.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2000
- Volume
- 29
- Issue
- 4
- Pages
- 267-273
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2020978939
- Cited by
- 461
- References
- 1
- FWCI
- 20.46
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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