Pivotal Advance: Phospholipids determine net membrane surface charge resulting in differential localization of active Rac1 and Rac2
Bibliographic record
Abstract
In this investigation, we used primary murine neutrophils to demonstrate that local changes in membrane phospholipid composition alter the net cytoplasmic membrane surface charge, which results in selective recruitment of Rac1 or Rac2 based on the net charge of their respective C-terminal domains. Murine neutrophils undergoing chemotaxis or carrying out phagocytosis were transfected with K-ras4B-derived membrane charge biosensors and lipid markers, which allowed us to simultaneously monitor the levels of PIP(2), PIP(3), and PS and net membrane charge of the newly developing phagosome membrane and plasma membrane. Our results indicate that the combination of PIP(2), PIP(3), and PS generates a high negative charge (-8) at the plasma membrane of actin-rich pseudopods, where active Rac1 preferentially localizes during phagosome formation. The lipid metabolism that occurs during phagosome maturation results in the localized depletion of PIP(2), PIP(3), and partial decrease in PS. This creates a moderately negative net charge that correlates with the localization of active Rac2. Conversely, the accumulation of PIP(3) at the leading-edge membrane during chemotaxis generates a polarized accumulation of negative charges that recruits Rac1. These results provide evidence that alterations in membrane lipid composition and inner-membrane surface charge are important elements for the recruitment of differentially charged proteins and localization of signaling pathways during phagocytosis and chemotaxis in neutrophils.
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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 | 0.000 | 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 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".