Interactions of Hemoglobin and Myoglobin with Their Ligands CN<sup>–</sup>, CO, and O<sub>2</sub> Monitored by Electrospray Ionization-Mass Spectrometry
Bibliographic record
Abstract
Electrospray ionization (ESI)-mass spectrometry (MS) can provide information on protein-ligand interactions via detection of the corresponding complexes as gaseous ions. Unfortunately, some systems are prone to dissociation upon transfer into the gas phase. The reversible oxygen binding to hemoglobin (Hb) has been extensively studied in solution using a wide range of biophysical techniques. In addition to O2, ferrous (Fe(II)) Hb can bind CO. High affinity interactions with CN(-) are limited to the ferric (Fe(III)) state. In analogous fashion, CN(-), CO, and O2 bind to myoglobin (Mb). It remains unclear whether any of these ligand-bound forms can be observed by ESI-MS. In this work we demonstrate the successful detection of MbCN, while MbCO and MbO2 do not survive under ESI-MS conditions. Control experiments suggest that an older report of "MbO2" detection by ESI-MS may involve the misassignment of oxidation artifacts formed under corona discharge conditions. The situation is more favorable for ESI-MS studies on Hb. The most intense signal in the HbCN mass distribution corresponds to the expected complex with four cyanide moieties bound. Ligand loss during ESI-MS is around 20%. HbCO is detectable as well, albeit with a more noticeable level of ligand dissociation (∼50%) which produces the 2CO-bound state as the highest intensity ion in the spectrum. In addition, our data suggest that low levels of HbO2 can survive the transition into the gas phase, evident from +64 Da and +128 Da signals that can be assigned to Hb carrying two and four oxygen molecules, respectively. The application of collisional activation induces neutral ligand loss for all three Hb derivatives. It appears that this is the first report on the detection of MbCN, HbCO, and HbO2 in the gas phase. We hope that this work will pave the way towards future spectroscopic investigations of desolvated Mb and Hb, complementing the extensive literature on CN(-), CO, and O2 bound globins in the condensed phase.
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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".