Assembly and substrate engagement mechanism of the bacterial proteasome activator Bpa
Bibliographic record
Abstract
Abstract The b acterial p roteasomal a ctivator Bpa (Rv3780) is an ATP-independent regulatory particle of the Mycobacterium tuberculosis proteasome system. Bpa recruits substrates as a dodecamer and triggers the gate opening of the proteasome 20S core particle; however, the structural basis for its oligomerization and substrate recognition remains unclear. Here, we define the temperature-sensitive oligomerization mechanism of Bpa and elucidate its interaction with a non-native substrate. Using size-exclusion chromatography, charge detection mass spectrometry, and pulsed hydrogen/deuterium exchange mass spectrometry (HDX-MS), we show that Bpa reversibly assembles into a dodecameric ring from dimeric and tetrameric species in a temperature-dependent manner. We used HDX-MS to map the oligomerization interfaces during Bpa assembly. Methyl transverse relaxation optimized spectroscopy (TROSY)-based NMR experiments and site-specific truncations further validate the existence of discrete tetrameric and dodecameric states. To overcome the limitations posed by the poor solubility of the native substrates of Bpa, we establish the DNA-binding domain of hTRF1 as a surrogate substrate. Bpa binds hTRF1 and mediates its degradation in a 20S CP-dependent manner. We quantify the affinity and stoichiometry of the Bpa-hTRF1 interaction using methyl-TROSY NMR, identifying a 12 Bpa subunit : 3 hTRF1 binding ratio with micromolar affinity that is modulated by salt concentration. Our NMR-based mapping experiments pinpoint the interaction surfaces on both Bpa and hTRF1, revealing key hydrophobic residues that mediate substrate engagement. This work uncovers a thermosensitive switch regulating Bpa oligomerization and activity and introduces a tractable substrate for dissecting proteasomal recognition in M. tuberculosis .
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".