Electrospray ionization mass spectrometry and ion mobility analysis of the 20S proteasome complex
Bibliographic record
Abstract
Mass spectrometry and gas phase ion mobility [gas phase electrophoretic macromolecule analyzer (GEMMA)] with electrospray ionization were used to characterize the structure of the noncovalent 28-subunit 20S proteasome from Methanosarcina thermophila and rabbit. ESI-MS measurements with a quadrupole time-of-flight analyzer of the 192 kDa alpha7-ring and the intact 690 kDa alpha7beta7beta7alpha7 are consistent with their expected stoichiometries. Collisionally activated dissociation of the 20S gas phase complex yields loss of individual alpha-subunits only, and it is generally consistent with the known alpha7beta7beta7alpha7 architecture. The analysis of the binding of a reversible inhibitor to the 20S proteasome shows the expected stoichiometry of one inhibitor for each beta-subunit. Ion mobility measurements of the alpha7-ring and the alpha7beta7beta7alpha7 complex yield electrophoretic diameters of 10.9 and 15.1 nm, respectively; these dimensions are similar to those measured by crystallographic methods. Sequestration of multiple apo-myoglobin substrates by a lactacystin-inhibited 20S proteasome is demonstrated by GEMMA experiments. This study suggests that many elements of the gas phase structure of large protein complexes are preserved upon desolvation, and that methods such as mass spectrometry and ion mobility analysis can reveal structural details of the solution protein complex.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".