<i>In situ</i> measurement of the electrical potential across the phagosomal membrane using FRET and its contribution to the proton-motive force
Bibliographic record
Abstract
Phagosomes employ lytic enzymes, cationic peptides, and reactive oxygen intermediates to eliminate invading microorganisms. The effectiveness of these microbicidal mechanisms is potentiated by the acidic pH created by H(+)-pumping vacuolar-type ATPases (V-ATPases) on the phagosomal membrane. The degree of phagosomal acidification varies greatly among neutrophils, macrophages, and dendritic cells and can be affected by diseases like cystic fibrosis. The determinants of phagosomal pH are not completely understood, but the permeability to ions that neutralize the electrogenic effect of the V-ATPase has been proposed to play a central role. When counterion conductance is limiting, generation of a large membrane potential will dominate the proton-motive force (pmf), with a proportionally diminished pH gradient. Validation of this notion requires direct measurement of the electrical potential that develops across the phagosomal membrane (Psi(Phi)). We describe a noninvasive procedure to estimate Psi(Phi) in intact cells, based on fluorescence resonance energy transfer. This approach, in combination with measurements of phagosomal pH, enabled us to calculate the pmf across phagosomes of murine macrophages and to analyze the factors that limit acidification. At steady state, Psi(Phi) averaged 27 mV (lumen positive) and was only partially dissipated by inhibition of the V-ATPase with concanamycin A. The comparatively small contribution of the potential to the pmf suggests that proton pumping is not limited by the counterion permeability, a notion that was validated independently by using ionophores. Instead, phagosomal pH stabilizes when the rate of proton pumping, which decreases gradually as the lumen acidifies, is matched by the passive leak of proton equivalents.
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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 | 0.002 | 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 | 0.001 | 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".