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Profiling protein thiol oxidation in tumor cells using sulfenic acid-specific antibodies
Open accessAbstract
Hydrogen peroxide (H 2 O 2 ) functions as a second messenger that can activate cell proliferation through chemoselective oxidation of cysteine residues in signaling proteins. The connection between H 2 O 2 signaling, thiol oxidation, and activation of growth pathways has emerged as fertile ground for the development of strategies for cancer treatment. Central to achieving this goal is the development of tools and assays that facilitate characterization of the molecular events associated with tumorigenesis and evaluation of patient response to therapy. Here we report on the development of an immunochemical method for detecting sulfenic acid, the initial oxidation product that results when a thiolate reacts with H 2 O 2 . For this approach, the sulfenic acid is derivatized with a chemical tag to generate a unique epitope for recognition. The elicited antibody is exquisitely specific, context-independent, and capable of visualizing sulfenic acid formation in cells. Applying this approach to several systems, including cancer cell lines, shows it can be used to monitor differences in thiol redox status and reveals a diverse pattern of sulfenic acid modifications across different subtypes of breast tumors. These studies demonstrate a general strategy for producing antibodies against a specific oxidation state of cysteine and show the utility of these reagents for profiling thiol oxidation associated with pathological conditions such as breast cancer.
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Cites
Free Radicals in Biology and Medicine
Halliwell, B., & Gutteridge, J. M. C. (2015) · doi:10.1093/acprof:oso/9780198717478.001.0001 · Cited by 8,990
H 2 O 2 , a Necessary Evil for Cell Signaling
Rhee, S. G. (2006) · Science · doi:10.1126/science.1130481 · Cited by 2,160
Global Analysis of Protein Activities Using Proteome Chips
Zhu, H., Bilgin, M., Bangham, R., Hall, D., Casamayor, A., Bertone, P., Lan, N., Jansen, R., Bidlingmaier, S., Houfek, T., et al. (2001) · Science · doi:10.1126/science.1062191 · Cited by 1,884
Oxidative stress and cancer: Have we moved forward?
Halliwell, B. (2007) · Biochemical Journal · doi:10.1042/bj20061131 · Cited by 1,302
Reactive oxygen species in cancer cells: Live by the sword, die by the sword
Schumacker, P. T. (2006) · Cancer Cell · doi:10.1016/j.ccr.2006.08.015 · Cited by 1,242
Cited by
Chemistry and biology of reactive oxygen species in signaling or stress responses
Dickinson, B. C., & Chang, C. J. (2011) · Nature Chemical Biology · doi:10.1038/nchembio.607 · Cited by 1,821
Cysteine-Mediated Redox Signaling: Chemistry, Biology, and Tools for Discovery
Paulsen, C. E., & Carroll, K. S. (2013) · Chemical Reviews · doi:10.1021/cr300163e · Cited by 1,278
Self-citationReisz, J. A., Bansal, N., Qian, J., Zhao, W., & Furdui, C. M. (2014) · Antioxidants & Redox Signaling · doi:10.1089/ars.2013.5489 · Cited by 833
Signaling Functions of Reactive Oxygen Species
Forman, H. J., Maiorino, M., & Ursini, F. (2010) · Biochemistry · doi:10.1021/bi9020378 · Cited by 827
ROS in Cancer: The Burning Question
Chio, I. I. C., & Tuveson, D. A. (2017) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2017.03.004 · Cited by 532
Metadata
- Authors
- Seo, Y. H., & Carroll, K. S.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2009-09-22
- Volume
- 106
- Issue
- 38
- Pages
- 16163-16168
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2123870875
- Cited by
- 230
- References
- 5
- FWCI
- 6.96
- Type
- journal article
- Language
- en
- Open access
- green
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