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Cited by 217

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Spatially patterned matrix elasticity directs stem cell fate

Open access
Yang, Chun, DelRio, Frank W., Ma, Hao, Killaars, Anouk R., Basta, Lena P., Kyburz, Kyle A., Anseth, Kristi S.·2016·Proceedings of the National Academy of Sciences

Abstract

Significance: The expansion and differentiation of human mesenchymal stem cells (hMSCs), an important cell type that is frequently used in stem-cell–based therapies, are regulated by interactions with their local extracellular microenvironment. Matrix stiffness is one of the key regulators, but often varies in space at a range of length scales in the local niche. To better understand and harness cell–matrix interactions, we used an innovative phototunable hydrogel platform to provide compelling evidence that the magnitude and spatial organization of matrix mechanics influence hMSCs through systematic regulation of cytoskeletal tension and transcriptional activation. These findings may have important implications in deepening our fundamental understanding of the role of extracellular matrix organization on disease, aging, and regenerative processes.

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Crossref · 10.1073/pnas.1609731113

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Metadata

Authors
Yang, C., DelRio, F. W., Ma, H., Killaars, A. R., Basta, L. P., Kyburz, K. A., & Anseth, K. S.
Venue
Proceedings of the National Academy of Sciences
Published
2016-07-19
Volume
113
Issue
31
Pages
E4439-45
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2503067859
Cited by
217
References
8
FWCI
14.67
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Spatially patterned matrix elasticity directs stem cell fate. https://app.cochat.ai/papers/10.1073/pnas.1609731113
The paper
Yang, C., DelRio, F. W., Ma, H., Killaars, A. R., Basta, L. P., Kyburz, K. A., & Anseth, K. S. (2016). Spatially patterned matrix elasticity directs stem cell fate. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1609731113

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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.