Rac2 is required for the formation of neutrophil extracellular traps
Bibliographic record
Abstract
Neutrophils play a critical role as a first line of defense against invading pathogens. Recently, a new defense strategy of neutrophils was described, in which pathogens are trapped and killed by NETs. However, the exact underlying mechanisms leading to the formation of NETs remain elusive. Here, we explored the role of the Rac small GTPases in the formation of NETs using neutrophils that lack Rac1, Rac2, or both isoforms. Efficient NET formation was observed in WT and Rac1null neutrophils. In contrast, NET formation was markedly impaired in cells lacking Rac2 or both Rac2 and Rac1. The defect in NET formation in Rac2null cells was rescued by exogenous ROS sources, suggesting that Rac2-mediated ROS generation is required for NET formation. In addition, we assessed the role of NO in NET formation in mouse neutrophils. Blocking NO production with the NOS inhibitor L-NAME significantly reduced NET formation. Moreover, we show that Rac2null cells produce significantly less NO than Rac1null cells or their WT counterparts. Our data suggest that Rac2 is essential for NET formation via pathways involving ROS and NO.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".