Abstract 1238: Gab1 regulates epithelial cell polarity and scattering by acting as a platform for PAR proteins
Bibliographic record
Abstract
Abstract Control of cell polarity plays a key role in numerous important biological processes, but the molecules and mechanisms that regulate polarity remain poorly defined. We found that the scaffolding adaptor Gab1, a component of multiple growth factor and cytokine signaling pathways, interacts with two PAR proteins, PAR1 and PAR3. Gab1 binds PAR1 and activates its kinase activity. Acting as a scaffold, Gab1 brings PAR1 and PAR3 into a transient complex, facilitating PAR3 phosphorylation by PAR1. Gab1 and PAR6 bind the PAR3 PDZ1 domain, and thereby compete for PAR3 binding. Consequently, depletion of Gab1 causes PAR3 hypo-phosphorylation and increased PAR3/PAR6 complex formation, resulting in accelerated formation of tight junctions, increased trans-epithelial electrical resistance and a shortened lateral domain in epithelial cells. Conversely, Gab1/PAR1 interaction enhances epithelial cell scattering. Thus, Gab1 is a novel regulator of epithelial cell polarity that acts as a platform for assembling and modulating PAR protein complexes. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 1238. doi:1538-7445.AM2012-1238
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".