Probing the Interactions of Cytochrome c with Anionic Phospholipid Nanodiscs Using Millisecond Hydrogen–Deuterium Exchange Mass Spectrometry
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide The interplay between the anionic phospholipid cardiolipin (CL) and cytochrome c (cyt c) holds significance in the early stages of apoptosis. Despite identification of up to four potential sites of interaction between cytochrome c and cardiolipin bearing membranes, the exact mode of interaction remains unexplained, especially given that some of the putative binding surfaces are mutually exclusive. In this study, we utilize millisecond time-resolved electrospray ionization hydrogen–deuterium exchange mass spectrometry (TRESI-HDX-MS) to investigate conformational and dynamic changes in cytochrome c in the presence of various phospholipids (DMPC, POPG, and CL) incorporated into nanodiscs. We observe that, among the proposed binding sites, the adjacent “L”- and “A”-sites exhibited a decrease in deuterium exchange, while the “N” site remained unperturbed, suggesting a specific orientation of cytochrome c with respect to cell membranes upon binding. We also demonstrate that negatively charged phospholipids with physical differences ( i.e ., POPG and CL) exhibit essentially the same interaction with cytochrome c, supporting the utility of POPG nanodiscs as a model for cytochrome c–membrane interactions.
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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".