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Cited by 269

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Stretchable living materials and devices with hydrogel–elastomer hybrids hosting programmed cells

Open access
Liu, Xinyue, Tang, Tzu-Chieh, Tham, Eléonore, Yuk, Hyunwoo, Lin, Shaoting, Lu, Timothy K., Zhao, Xuanhe·2017·Proceedings of the National Academy of Sciences

Abstract

Significance: The integration of genetically programmed cells into materials and devices will enable the power of biology to be harnessed for a wide range of scientific research and technological applications. Here, we use stretchable, robust, and biocompatible hydrogel–elastomer hybrids to host genetically programed bacteria, thus creating a set of stretchable and wearable living materials and devices that possesses unprecedented functions and capabilities. A quantitative yet generic model is further developed to account for the coupled physical and biochemical processes in living materials and devices. This simple strategy for designing living materials and devices not only provides tools for research in synthetic biology but also, enables applications, such as living sensors, interactive genetic circuits, and living wearable devices.

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Crossref · 10.1073/pnas.1618307114

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Metadata

Authors
Liu, X., Tang, T.-C., Tham, E., Yuk, H., Lin, S., Lu, T. K., & Zhao, X.
Venue
Proceedings of the National Academy of Sciences
Published
2017-02-15
Volume
114
Issue
9
Pages
2200-2205
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2587896554
Cited by
269
References
4
FWCI
8.88
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Stretchable living materials and devices with hydrogel–elastomer hybrids hosting programmed cells. https://app.cochat.ai/papers/10.1073/pnas.1618307114
The paper
Liu, X., Tang, T.-C., Tham, E., Yuk, H., Lin, S., Lu, T. K., & Zhao, X. (2017). Stretchable living materials and devices with hydrogel–elastomer hybrids hosting programmed cells. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1618307114

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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.