Cooperative roles of PAK1 and filamin A in regulation of vimentin assembly and cell extension formation
Bibliographic record
Abstract
The formation of extensions in cell migration requires tightly coordinated reorganization of all three cytoskeletal polymers but the mechanisms by which intermediate filament networks interact with actin to generate extensions are not well-defined. We examined interactions of the actin binding protein filamin A (FLNA) with vimentin in extension formation by fibroblasts. Knockdown (KD) of vimentin in fibroblasts reduced the lengths of cell extensions by 50% (p < 0.001). After cell binding to fibronectin, there was a time-dependent increase of phosphorylation of serine 39, 56 and 72 in vimentin, which was associated with vimentin filament assembly. Of the FLNA-interacting kinases that could phosphorylate vimentin, we focused on PAK1, which we found by reciprocal immunoprecipitation associated with FLNA. Enzyme inhibitor studies and siRNA KD demonstrated that PAK1 was required for vimentin phosphorylation and formation of cell extensions. In sedimentation assays, vimentin was exclusively detected in the insoluble pellet fraction of cells expressing FLNA while in FLNA KD cells there was increased vimentin in the supernatants of FLN KD cells. Compared with wild type, FLNA KD cells showed loss of phosphorylation of serine 56 and 72 in vimentin and reduced numbers and lengths of cell extensions by >4-fold. We suggest that the association of PAK1 with FLNA enables vimentin phosphorylation and filament assembly, which are important in the development and stabilization of cell extensions during cell migration.
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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 | 0.001 | 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".