The Arp2/3 inhibitory protein arpin induces cell turning by pausing cell migration
Bibliographic record
Abstract
Branched actin networks generated by the Arp2/3 complex provide the driving force for leading edge protrusion in migrating cells. We recently identified Arpin, a protein that inhibits the Arp2/3 complex in lamellipodia. Arpin is activated by the small GTPase Rac, which triggers lamellipodium formation, and thus Arpin renders protrusions unstable. A conserved role of Arpin is to induce migrating cells to turn in different migration models. Here we investigated the mechanism by which Arpin controls directional persistence. For this analysis, we segmented migration trajectories into alternating phases of active migration and pauses, based on a speed threshold. Regardless of the threshold value, Arpin induced more frequent pausing, during which the cell was more likely to change the direction of its migration. Arpin simultaneously acts on cell speed and directional persistence, which are strongly coupled parameters. Induction of frequent pausing by Arpin is consistent with Arpin circuitry: by inhibiting the Arp2/3 complex as a response to Rac activation, Arpin antagonizes a positive feedback loop that sustains protrusions at the leading edge and maintains active migration. We propose the 'duration of active migration' as a useful proxy to measure feedbacks associated with cell migration.
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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 | 0.001 |
| 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".