β-arrestin 1 and integrin-linked kinase interact in epidermal keratinocytes and regulate cell motility
Bibliographic record
Abstract
Arrestins and integrin-linked kinase (ILK) are important scaffold proteins that regulate myriad cell functions in metazoans. β-arrestins, first identified as critical components in G-protein-coupled receptor (GPCR) signaling pathways, participate in inflammatory, immunomodulatory and tissue repair processes in GPCR-dependent and -independent manners. ILK is a central mediator of signaling cascades elicited by activation of integrins, regulating cell motility, proliferation, and mechanotransduction. In the epidermis, ILK is essential for maintenance of barrier function, hair follicle development, melanocyte colonization and regeneration after injury. In this tissue, β-arrestin 2 mitigates inflammatory processes and development of allergic dermatitis, which also is associated with loss of epidermal barrier function. However, the functional role of β-arrestin 1 in epidermal cells is poorly understood. We now report that β-arrestin 1 directly binds ILK, forming hitherto unidentified protein complexes in epidermal keratinocytes. In the absence of exogenous GPCR ligand stimulation, β-arrestin 1 and ILK are found throughout the cytoplasm in epidermal keratinocytes, and also co-localize to plasma membrane regions associated with cell protrusions. Inactivation of the genes that encode both β-arrestin 1 and 2 attenuates forward cell migration, whereas expression of ILK together with β-arrestin 1 restores cell motility. The cooperative effect of ILK and β-arrestin 1 in promoting directional cell migration may have important implications for epidermal regeneration and reestablishment of barrier function after injury.
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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) | 0.001 | 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".