Targeted proteomics identify metabolism-dependent interactors of yeast cytochrome <i>c</i> peroxidase: implications in stress response and heme trafficking
Bibliographic record
Abstract
Recently we discovered that cytochrome c peroxidase (Ccp1) functions primarily as a mitochondrial H2O2 sensor and heme donor in yeast cells. When cells switch their metabolism from fermentation to respiration mitochondrial H2O2 levels spike, and overoxidation of its polypeptide labilizes Ccp1's heme. A large pool of heme-free Ccp1 exits the mitochondria and enters the nucleus and vacuole. To gain greater insight into the mechanisms of Ccp1's H2O2-sensing and heme-donor functions during the cell's different metabolic states, here we use glutathione-S-transferase (GST) pulldown assays, combined with 1D gel electrophoresis and mass spectrometry to probe for interactors of apo- and holoCcp1 in extracts from 1 d fermenting and 7 d stationary-phase respiring yeast. We identified Ccp1's peroxidase cosubstrate Cyc1 and 28 novel interactors of GST-apoCcp1 and GST-holoCcp1 including mitochondrial superoxide dismutase 2 (Sod2) and cytosolic Sod1, the mitochondrial transporter Pet9, the three yeast isoforms of glyceraldehyde-3-phosphate dehydrogenase (Tdh3/2/1), heat shock proteins including Hsp90 and Hsp70, and the main peroxiredoxin in yeast (Tsa1) as well as its cosubstrate, thioreoxin (Trx1). These new interactors expand the scope of Ccp1's possible roles in stress response and in heme trafficking and suggest several new lines of investigation. Furthermore, our targeted proteomics analysis underscores the limitations of large-scale interactome studies that found only 4 of the 30 Ccp1 interactors isolated here.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".