The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Chemical proteomics reveals new targets of cysteine sulfinic acid reductase
Open accessAbstract
Cysteine sulfinic acid or S-sulfinylation is an oxidative post-translational modification (OxiPTM) that is known to be involved in redox-dependent regulation of protein function but has been historically difficult to analyze biochemically. To facilitate the detection of S-sulfinylated proteins, we demonstrate that a clickable, electrophilic diazene probe (DiaAlk) enables capture and site-centric proteomic analysis of this OxiPTM. Using this workflow, we revealed a striking difference between sulfenic acid modification (S-sulfenylation) and the S-sulfinylation dynamic response to oxidative stress, which is indicative of different roles for these OxiPTMs in redox regulation. We also identified >55 heretofore-unknown protein substrates of the cysteine sulfinic acid reductase sulfiredoxin, extending its function well beyond those of 2-cysteine peroxiredoxins (2-Cys PRDX1–4) and offering new insights into the role of this unique oxidoreductase as a central mediator of reactive oxygen species–associated diseases, particularly cancer. DiaAlk therefore provides a novel tool to profile S-sulfinylated proteins and study their regulatory mechanisms in cells.An electrophilic diazene probe (DiaAlk) enables capture and proteomic analysis of cysteine S-sulfinylation modifications, thus illuminating dynamic responses to oxidative stress and enabling the identification of new substrates of sulfiredoxin.
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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
Chang, T.-S., Jeong, W., Woo, H. A., Lee, S. M., Park, S., & Rhee, S. G. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m409482200 · Cited by 388
Gould, N. S., Evans, P., Martínez-Acedo, P., Marino, S. M., Gladyshev, V. N., Carroll, K. S., & Ischiropoulos, H. (2015) · Chemistry & Biology · doi:10.1016/j.chembiol.2015.06.010 · Cited by 128
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Cited by
Reactive oxygen species (ROS) as pleiotropic physiological signalling agents
Sies, H., & Jones, D. P. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-0230-3 · Cited by 5,335
Hayes, J. D., Dinkova-Kostova, A. T., & Tew, K. D. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.06.001 · Cited by 2,654
Reactive oxygen species signalling in plant stress responses
Mittler, R., Zandalinas, S. I., Fichman, Y., & Van Breusegem, F. (2022) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-022-00499-2 · Cited by 2,351
Wang, P., Liu, W., Han, C., Wang, S., Bai, M., & Song, C. (2024) · Journal of Integrative Plant Biology · doi:10.1111/jipb.13601 · Cited by 559
Zhong, Q., Xiao, X., Qiu, Y., Xu, Z., Chen, C., Chong, B., Zhao, X., Hai, S., Li, S., An, Z., et al. (2023) · MedComm · doi:10.1002/mco2.261 · Cited by 442
Metadata
- Authors
- Akter, S., Fu, L., Jung, Y., Conte, M. L., Lawson, J. R., Lowther, W. T., Sun, R., Liu, K., Yang, J., & Carroll, K. S.
- Venue
- Nature Chemical Biology
- Published
- 2018-09-03
- Volume
- 14
- Issue
- 11
- Pages
- 995-1004
- ISSN
- 1552-4450 (ISSN-L)
- 1552-4469
- OpenAlex
- W2889365936
- Cited by
- 234
- References
- 3
- FWCI
- 7.30
- Type
- journal article
- Language
- en
- Open access
- green
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- Akter, S., Fu, L., Jung, Y., Conte, M. L., Lawson, J. R., Lowther, W. T., Sun, R., Liu, K., Yang, J., & Carroll, K. S. (2018). Chemical proteomics reveals new targets of cysteine sulfinic acid reductase. Nature Chemical Biology. https://doi.org/10.1038/s41589-018-0116-2
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