The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Protein Sulfenation as a Redox Sensor
Open accessAbstract
Protein sulfenic acids are reactive intermediates in the catalytic cycles of many enzymes as well as the in formation of other redox states. Sulfenic acid formation is a reversible post-translational modification with potential for protein regulation. Dimedone (5,5-dimethyl-1,3-cyclohexanedione) is commonly used in vitro to study sulfenation of purified proteins, selectively "tagging" them, allowing monitoring by mass spectrometry. However dimedone is of little use in complex protein mixtures because selective monitoring of labeling is not possible. To address this issue, we synthesized a novel biotinylated derivative of dimedone, keeping the dione cassette required for sulfenate reactivity but adding the functionality of a biotin tag. Biotin-amido(5-methyl-5-carboxamidocyclohexane 1,3-dione) tetragol (biotin dimedone) was prepared in six steps, combining 3,5-dimethoxybenzoic acid (Birch reduction, ultimately leading to the dimedone unit with a carboxylate functionality), 1-amino-11-azido-3,6,9-trioxaundecane (a differentially substituted tetragol spacer), and biotin. We loaded biotin dimedone (0.1 mm, 30 min) into rat ventricular myocytes, treated them with H(2)O(2) (0.1-10,000 microm, 5 min), and monitored derivatization on Western blots using streptavidin-horseradish peroxidase. There was a dose-dependent increase in labeling of multiple proteins that was maximal at 0.1 or 1 mm H(2)O(2) and declined sharply below basal with 10 mm treatment. Cell-wide labeling was observed in fixed cells probed with avidin-FITC using a confocal fluorescence microscope. Similar H(2)O(2)-induced labeling was observed in isolated rat hearts. Hearts loaded and subjected to hypoxia showed a striking loss of labeling, which returned when oxygen was resupplied, highlighting the protein sulfenates as oxygen sensors. Cardiac proteins that were sulfenated during oxidative stress were purified with avidin-agarose and identified by separation of tryptic digests by liquid chromatography with on-line analysis by mass spectrometry.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Stamler (2001) · doi:10.1016/s0092-8674(01)00495-0 · Cited by 1,261
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
The Saccharomyces cerevisiae Proteome of Oxidized Protein Thiols
Le Moan, N., Clement, G., Le Maout, S., Tacnet, F., & Toledano, M. B. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m513346200 · Cited by 170
Cited by
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
Reisz, J. A., Bansal, N., Qian, J., Zhao, W., & Furdui, C. M. (2014) · Antioxidants & Redox Signaling · doi:10.1089/ars.2013.5489 · Cited by 833
Orchestrating Redox Signaling Networks through Regulatory Cysteine Switches
Paulsen, C. E., & Carroll, K. S. (2010) · ACS Chemical Biology · doi:10.1021/cb900258z · Cited by 476
Griendling, K. K., Touyz, R. M., Zweier, J. L., Dikalov, S., Chilian, W., Chen, Y.-R., Harrison, D. G., & Bhatnagar, A. (2016) · Circulation Research · doi:10.1161/res.0000000000000110 · Cited by 444
Sulfenic acid chemistry, detection and cellular lifetime
Gupta, V., & Carroll, K. S. (2014) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2013.05.040 · Cited by 427
Metadata
- Authors
- Charles, R. L., Schröder, E., May, G., Free, P., Gaffney, P. R. J., Wait, R., Begum, S., Heads, R. J., & Eaton, P.
- Venue
- Molecular & Cellular Proteomics
- Publisher
- Elsevier BV
- Published
- 2007-09
- Volume
- 6
- Issue
- 9
- Pages
- 1473-1484
- ISSN
- 1535-9476 (ISSN-L)
- OpenAlex
- W2101053487
- Cited by
- 185
- References
- 3
- FWCI
- 5.51
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Protein Sulfenation as a Redox Sensor. https://app.cochat.ai/papers/10.1074/mcp.m700065-mcp200
- The paper
- Charles, R. L., Schröder, E., May, G., Free, P., Gaffney, P. R. J., Wait, R., Begum, S., Heads, R. J., & Eaton, P. (2007). Protein Sulfenation as a Redox Sensor. Molecular & Cellular Proteomics. https://doi.org/10.1074/mcp.m700065-mcp200
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.