Mass Spectrometric Analysis of Nitroxyl-Mediated Protein Modification: Comparison of Products Formed with Free and Protein-Based Cysteines
Bibliographic record
Abstract
Although biologically active, nitroxyl (HNO) remains one of the most poorly studied NO(x). Protein-based thiols are suspected targets of HNO, forming either a disulfide or sulfinamide (RSONH2) through an N-hydroxysulfenamide (RSNHOH) addition product. Electrospray ionization mass spectrometry (ESI-MS) is used here to examine the products formed during incubation of thiol proteins with the HNO donor, Angeli's salt (AS; Na2N2O3). Only the disulfide, cystine, was formed in incubates of 15 mM free Cys with equimolar AS at pH 7.0-7.4. In contrast, the thiol proteins (120-180 microM), human calbindin D(28k) (HCalB), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), and bovine serum albumin (BSA) gave four distinct types of derivatives in incubates containing 0.9-2.5 mM AS. Ions at M + n x 31 units were detected in the ESI mass spectra of intact HCalB (n = 1-5) and GAPDH (n = 2), indicating conversion of thiol groups on these proteins to RSONH2 (+31 units). An ion at M + 14 dominated the mass spectrum of BSA, and intramolecular sulfinamide cross-linking of Cys34 to one of its neighboring Lys or Arg residues would account for this mass increase. Low abundant M + 14 adducts were observed for HCalB, which additionally formed mixed disulfides when free Cys was present in the AS incubates. Cys149 and Cys153 formed an intramolecular disulfide in the AS/GAPDH incubates. Since AS also produces nitrite above pH 5 (HN2O3(-) --> HNO + NO2(-)), incubation with NaNO2 served to confirm that protein modification was HNO-mediated, and prior blocking with the thiol-specific reagent, N-ethylmaleimide, demonstrated that thiols are the targets of HNO. The results provide the first systematic characterization of HNO-mediated derivatization of protein thiols.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".