The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Multiplex protein assays based on real-time magnetic nanotag sensing
Open accessAbstract
Magnetic nanotags (MNTs) are a promising alternative to fluorescent labels in biomolecular detection assays, because minute quantities of MNTs can be detected with inexpensive giant magnetoresistive (GMR) sensors, such as spin valve (SV) sensors. However, translating this promise into easy to use and multilplexed protein assays, which are highly sought after in molecular diagnostics such as cancer diagnosis and treatment monitoring, has been challenging. Here, we demonstrate multiplex protein detection of potential cancer markers at subpicomolar concentration levels and with a dynamic range of more than four decades. With the addition of nanotag amplification, the analytic sensitivity extends into the low fM concentration range. The multianalyte ability, sensitivity, scalability, and ease of use of the MNT-based protein assay technology make it a strong contender for versatile and portable molecular diagnostics in both research and clinical settings.
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Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray
Schena, M., Shalon, D., Davis, R. W., & Brown, P. O. (1995) · Science · doi:10.1126/science.270.5235.467 · Cited by 9,609
Self-citationMonodisperse MFe2O4 (M = Fe, Co, Mn) Nanoparticles
Sun, S., Zeng, H., Robinson, D. B., Raoux, S., Rice, P. M., Wang, S. X., & Li, G. (2004) · Journal of the American Chemical Society · doi:10.1021/ja0380852 · Cited by 3,441
Self-citationGiant room-temperature magnetoresistance in single-crystal Fe/MgO/Fe magnetic tunnel junctions
Yuasa, S., Nagahama, T., Fukushima, A., Suzuki, Y., & Ando, K. (2004) · Nature Materials · doi:10.1038/nmat1257 · Cited by 3,331
Sawyers, C. L. (2008) · Nature · doi:10.1038/nature06913 · Cited by 983
Colloidal Nanocrystal Shape and Size Control: The Case of Cobalt
Puntes, V. F., Krishnan, K. M., & Alivisatos, A. P. (2001) · Science · doi:10.1126/science.1058495 · Cited by 869
A biosensor based on magnetoresistance technology
Baselt, D. R., Lee, G. U., Natesan, M., Metzger, S. W., Sheehan, P. E., & Colton, R. J. (1998) · Biosensors and Bioelectronics · doi:10.1016/s0956-5663(98)00037-2 · Cited by 823
Multiplexed protein measurement: technologies and applications of protein and antibody arrays
Kingsmore, S. F. (2006) · Nature Reviews Drug Discovery · doi:10.1038/nrd2006 · Cited by 715
The BARC biosensor applied to the detection of biological warfare agents
Edelstein, R. L., Tamanaha, C. R., Sheehan, P. E., Miller, M. M., Baselt, D. R., Whitman, L. J., & Colton, R. J. (2000) · Biosensors and Bioelectronics · doi:10.1016/s0956-5663(99)00054-8 · Cited by 456
Li, G., Joshi, V., White, R. L., Wang, S. X., Kemp, J. T., Webb, C., Davis, R. W., & Sun, S. (2003) · Journal of Applied Physics · doi:10.1063/1.1540176 · Cited by 221
Self-citationUhlen, M. (1989) · Nature · doi:10.1038/340733a0 · Cited by 219
Cited by
Biomedical Nanomagnetics: A Spin Through Possibilities in Imaging, Diagnostics, and Therapy
Krishnan, K. M. (2010) · IEEE Transactions on Magnetics · doi:10.1109/tmag.2010.2046907 · Cited by 819
Recent Developments in Magnetic Diagnostic Systems
Lee, H., Shin, T.-H., Cheon, J., & Weissleder, R. (2015) · Chemical Reviews · doi:10.1021/cr500698d · Cited by 292
Earhart, C. M., Hughes, C. E., Gaster, R. S., Ooi, C. C., Wilson, R. J., Zhou, L. Y., Humke, E. W., Xu, L., Wong, D. J., Willingham, S. B., et al. (2014) · Lab Chip · doi:10.1039/c3lc50580d · Cited by 165
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Metadata
- Authors
- Osterfeld, S. J., Yu, H., Gaster, R. S., Caramuta, S., Xu, L., Han, S.-J., Hall, D. A., Wilson, R. J., Sun, S., White, R. L., Davis, R. W., Pourmand, N., & Wang, S. X.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2008-12-30
- Volume
- 105
- Issue
- 52
- Pages
- 20637-20640
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2096143567
- Cited by
- 288
- References
- 17
- FWCI
- 7.69
- Type
- journal article
- Language
- en
- Open access
- green
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- Osterfeld, S. J., Yu, H., Gaster, R. S., Caramuta, S., Xu, L., Han, S.-J., Hall, D. A., Wilson, R. J., Sun, S., White, R. L., Davis, R. W., Pourmand, N., & Wang, S. X. (2008). Multiplex protein assays based on real-time magnetic nanotag sensing. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0810822105
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