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Cited by 351

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Using electroactive substrates to pattern the attachment of two different cell populations

Open access
Yousaf, Muhammad N., Houseman, Benjamin T., Mrksich, Milan·2001·Proceedings of the National Academy of Sciences

Abstract

This report describes the development of an electroactive mask that permits the patterning of two different cell populations to a single substrate. This mask is based on a self-assembled monolayer of alkanethiolates on gold that could be switched from a state that prevents the attachment of cells to a state that promotes the integrin-mediated attachment of cells. Monolayers were patterned into regions having this electroactive monolayer and a second set of regions that were adhesive. After Swiss 3T3 fibroblasts had attached to the adhesive regions of this substrate, the second set of regions was activated electrically to permit the attachment of a second population of fibroblast cells. This method provides a general strategy for patterning the attachment of multiple cell types and will be important for studying heterotypic cell-cell interactions.

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Crossref · 10.1073/pnas.101112898

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Metadata

Authors
Yousaf, M. N., Houseman, B. T., & Mrksich, M.
Venue
Proceedings of the National Academy of Sciences
Published
2001-05-15
Volume
98
Issue
11
Pages
5992-5996
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2068261191
Cited by
351
References
23
FWCI
5.49
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Using electroactive substrates to pattern the attachment of two different cell populations. https://app.cochat.ai/papers/10.1073/pnas.101112898
The paper
Yousaf, M. N., Houseman, B. T., & Mrksich, M. (2001). Using electroactive substrates to pattern the attachment of two different cell populations. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.101112898

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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.