The DOI matches its Crossref record.
Micromachine‐Enabled Capture and Isolation of Cancer Cells in Complex Media
Open accessAbstract
Microrockets detect cancer: A micromachine is used for the in vitro isolation of pancreatic cancer cells in complex media. The strategy is based on the selective binding and transport ability of antibody-functionalized microengine rockets: these microrockets selectively recognize the surface antigens overexpressed by pancreatic cancer cells, and capture and transport the cancer cells over a preselected path (see picture).
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Citations
Cited by
Nano/Microscale Motors: Biomedical Opportunities and Challenges
Wang, J., & Gao, W. (2012) · ACS Nano · doi:10.1021/nn3028997 · Cited by 668
Self-citationThe Environmental Impact of Micro/Nanomachines: A Review
Gao, W., & Wang, J. (2014) · ACS Nano · doi:10.1021/nn500077a · Cited by 594
Self-citationCurrent detection technologies for circulating tumor cells
Shen, Z., Wu, A., & Chen, X. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00803h · Cited by 433
Hydrogen-Bubble-Propelled Zinc-Based Microrockets in Strongly Acidic Media
Gao, W., Uygun, A., & Wang, J. (2012) · Journal of the American Chemical Society · doi:10.1021/ja210874s · Cited by 389
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Metadata
- Authors
- Balasubramanian, S., Kagan, D., Jack Hu, C., Campuzano, S., Lobo‐Castañon, M. J., Lim, N., Kang, D. Y., Zimmerman, M., Zhang, L., & Wang, J.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2011-04-07
- Volume
- 50
- Issue
- 18
- Pages
- 4161-4164
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2155410446
- Cited by
- 426
- References
- 0
- FWCI
- 29.45
- Type
- journal article
- Language
- en
- Open access
- green
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- Balasubramanian, S., Kagan, D., Jack Hu, C., Campuzano, S., Lobo‐Castañon, M. J., Lim, N., Kang, D. Y., Zimmerman, M., Zhang, L., & Wang, J. (2011). Micromachine‐Enabled Capture and Isolation of Cancer Cells in Complex Media. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201100115
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
