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A Sensitive and Quantitative Element-Tagged Immunoassay with ICPMS Detection
Abstract
We report a set of novel immunoassays in which proteins of interest can be detected using specific element-tagged antibodies. These immunoassays are directly coupled with an inductively coupled plasma mass spectrometer (ICPMS) to quantify the elemental (in this work, metal) component of the reacted tagged antibodies. It is demonstrated that these methods can detect levels of target proteins as low as 0.1-0.5 ng/mL and yield a linear response to protein concentration over 3 orders of magnitude.
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Cited by
Bandura, D. R., Baranov, V. I., Ornatsky, O. I., Antonov, A., Kinach, R., Lou, X., Pavlov, S., Vorobiev, S., Dick, J. E., & Tanner, S. D. (2009) · Analytical Chemistry · doi:10.1021/ac901049w · Cited by 1,295
Self-citationA deep profiler's guide to cytometry
Bendall, S. C., Nolan, G. P., Roederer, M., & Chattopadhyay, P. K. (2012) · Trends in Immunology · doi:10.1016/j.it.2012.02.010 · Cited by 656
Szpunar, J. (2005) · The Analyst · doi:10.1039/b418265k · Cited by 406
Gold nanoparticle-based signal amplification for biosensing
Cao, X., Ye, Y., & Liu, S. (2011) · Analytical Biochemistry · doi:10.1016/j.ab.2011.05.027 · Cited by 393
Metal-isotope-tagged monoclonal antibodies for high-dimensional mass cytometry
Han, G., Spitzer, M. H., Bendall, S. C., Fantl, W. J., & Nolan, G. P. (2018) · Nature Protocols · doi:10.1038/s41596-018-0016-7 · Cited by 264
Metadata
- Authors
- Baranov, V. I., Quinn, Z., Bandura, D. R., & Tanner, S. D.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2002-02-22
- Volume
- 74
- Issue
- 7
- Pages
- 1629-1636
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2088575565
- Cited by
- 194
- References
- 0
- FWCI
- 5.26
- Type
- journal article
- Language
- en
- Open access
- closed
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- Baranov, V. I., Quinn, Z., Bandura, D. R., & Tanner, S. D. (2002). A Sensitive and Quantitative Element-Tagged Immunoassay with ICPMS Detection. Analytical Chemistry. https://doi.org/10.1021/ac0110350
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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.
