Timing of Phagosome Maturation Depends on Their Transport Switching from Actin to Microtubule Tracks
Bibliographic record
Abstract
Phagosomes, specialized membrane compartments responsible for digesting internalized pathogens, undergo sequential dynamic and biochemical changes as they mature from nascent phagosomes to degradative phagolysosomes. Maturation of phagosomes depends on their transport along actin filaments and microtubules. However, the specific quantitative relationship between the biochemical transformation and transport dynamics remains poorly characterized. The autonomous nature of phagosomes, moving and maturing at different rates, makes understanding this relationship challenging. Addressing this challenge, in this study we engineered particle sensors to image and quantify single phagosomes' maturation. We found that as phagosomes move from the actin cortex to microtubule tracks, the timing of their actin-to-microtubule transition governs the duration of the early phagosome stage before acquiring degradative capacities. Prolonged entrapment of phagosomes in the actin cortex extends the early phagosome stage by delaying the dissociation of early endosome markers and phagosome acidification. Conversely, a shortened transition from actin- to microtubule-based movements causes the opposite effect on phagosome maturation. These results suggest that the actin- and microtubule-based transport of phagosomes functions like a "clock" to coordinate the timing of biochemical events during phagosome maturation, which is crucial for effective pathogen degradation.
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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) | 0.000 | 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 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".