Pulsed Hydrogen/Deuterium Exchange MS/MS for Studying the Relationship between Noncovalent Protein Complexes in Solution and in the Gas Phase after Electrospray Ionization
Bibliographic record
Abstract
Electrospray ionization mass spectrometry (ESI-MS) has become a standard method for monitoring noncovalent protein-protein interactions. Studies employing this approach tend to operate on the premise that the ionic species observed in the mass spectrum directly reflect the corresponding solution-phase protein quaternary structures. However, dissociation or clustering events taking place during ESI may lead to disparities between the ions observed in the mass spectrum and the protein binding state in bulk solution. Recognizing the occurrence of dissociation or clustering artifacts is not straightforward, leading to possible ambiguities in the interpretation of ESI-MS data. This work employs on-line pulsed hydrogen-deuterium exchange (HDX) for probing the origin of various species in the ESI mass spectrum of hemoglobin. In addition to the canonical hemoglobin tetramer, ESI-MS reveals the presence of monomers, dimers, hexamers, and octamers. Tandem mass spectrometry (MS/MS) is used for extracting HDX levels in a subunit-specific manner. Dimeric species exhibit exchange levels that are significantly above those of the tetramer. Monomeric hemoglobin subunits are labeled to an even greater extent. This HDX pattern implies that monomers and dimers do not represent dissociation artifacts generated during ESI. Instead, they are derived from preexisting solution-phase structures. In contrast, hexamers and octamers exhibit HDX levels that resemble those of the tetramer, thus identifying these larger species as nonspecific clustering artifacts. Overall, it appears that the pulsed HDX MS/MS approach introduced in this work represents a widely applicable tool for deciphering the relationship between ESI mass spectra and protein quaternary structures in solution.
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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 | 0.000 |
| 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) | 0.000 | 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".