<scp>EspI</scp> regulates the <scp>ESX</scp>‐1 secretion system in response to <scp>ATP</scp> levels in <scp><i>M</i></scp><i>ycobacterium tuberculosis</i>
Bibliographic record
Abstract
The function of EspI, a 70 kDa protein in Mycobacterium tuberculosis, has remained unclear. Although EspI is encoded by a gene within the esx-1 locus, in this study we clarify previous conflicting results and show that EspI is not essential for ESX-1-mediated secretion or virulence in M. tuberculosis. We also provide evidence that reduction of cellular ATP levels in wild-type M. tuberculosis using the drug bedaquiline completely blocks ESX-1-mediated secretion. Remarkably, M. tuberculosis lacking EspI fails to exhibit this phenotype. Furthermore, mutagenesis of a highly conserved ATP-binding motif in EspI renders M. tuberculosis incapable of shutting down ESX-1-mediated secretion during ATP depletion. Collectively these results show that M. tuberculosis EspI negatively regulates the ESX-1 secretion system in response to low cellular ATP levels and this function requires the ATP-binding motif. In light of our results the potential significance of EspI in ESX-1 function during latent tuberculosis infection and reactivation is also discussed.
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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".