Identification of redox sensitive thiols of protein disulfide isomerase using isotope coded affinity technology and mass spectrometry
Bibliographic record
Abstract
Regulation of the redox state of protein disulfide isomerase (PDI) is critical for its various catalytic functions. Here we describe a procedure utilizing isotope-coded affinity tag (ICAT) technology and mass spectrometry that quantitates relative changes in the dynamic thiol and disulfide states of human PDI. Human PDI contains six cysteine residues, four present in two active sites within the a and a' domains, and two present in the b' domain. ICAT labeling of human PDI indicates a difference between the redox state of the two active sites. Furthermore, under auto-oxidation conditions an approximately 80% decrease in available thiols within the a domain was detected. Surprisingly, the redox state of one of the two cysteines, Cys-295, within the b' domain was altered between the fully reduced and the auto-oxidized state of PDI while the other b' domain cysteine remained fully reduced. An interesting mono- and dioxidation modification of an invariable tryptophan residue, Trp-35, within the active site was also mapped by tandem mass spectrometry. Our findings indicate that ICAT methodology in conjunction with mass spectrometry represents a powerful tool to monitor changes in the redox state of individual cysteine residues within PDI under various conditions.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".