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Cited by 247

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

Droplet-based microfluidic system for multicellular tumor spheroid formation and anticancer drug testing

Yu, Linfen, Chen, Michael C. W., Cheung, Karen C.·2010·Lab on a Chip

Abstract

Creating multicellular tumor spheroids is critical for characterizing anticancer treatments since it may provide a better model than monolayer culture of tumor cells. Moreover, continuous dynamic perfusion allows the establishment of long term cell culture and subsequent multicellular spheroid formation. A droplet-based microfluidic system was used to form alginate beads with entrapped breast tumor cells. After gelation, the alginate beads were trapped in microsieve structures for cell culture in a continuous perfusion system. The alginate environment permitted cell proliferation and the formation of multicellular spheroids was observed. The dose-dependent response of the tumor spheroids to doxorubicin, and anticancer drug, showed multicellular resistance compared to conventional monolayer culture. The microsieve structures maintain constant location of each bead in the same position throughout the device seeding process, cell proliferation and spheroid formation, treatment with drug, and imaging, permitting temporal and spatial tracking.

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Crossref · 10.1039/c004590j

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Metadata

Authors
Yu, L., Chen, M. C. W., & Cheung, K. C.
Venue
Lab on a Chip
Published
2010
Volume
10
Issue
18
Pages
2424
ISSN
  • 1473-0189 (ISSN-L)
  • 1473-0197
OpenAlex
W2126750664
Cited by
247
References
4
FWCI
6.92
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Droplet-based microfluidic system for multicellular tumor spheroid formation and anticancer drug testing. https://app.cochat.ai/papers/10.1039/c004590j
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Yu, L., Chen, M. C. W., & Cheung, K. C. (2010). Droplet-based microfluidic system for multicellular tumor spheroid formation and anticancer drug testing. Lab on a Chip. https://doi.org/10.1039/c004590j

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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.