Abstract 1249: Modulation of epidermal growth factor induction of migration by integrin-linked kinase
Bibliographic record
Abstract
Abstract Epidermal growth factor (EGF) signaling is central for proliferation, survival and motility in epithelial cells. Cell migration is an obligatory prerequisite for metastasis and requires the development of front-rear polarity. EGF stimulation in various epithelial cell types induces formation of protrusions and migration via RhoG and Rac1 activation. We now demonstrate that treatment of primary epidermal keratinocytes with EGF, but not with other growth factors that promote cell migration, induces cell polarization mediated by complexes containing RhoG, integrin-linked kinase (ILK) and “Engulfment and Cell Motility-2” (ELMO2). This process requires the tyrosine kinase activity of the EGF receptor. Further, ELMO2, ILK, Rac1 and integrin beta1 are obligatory effectors in this pathway, as inactivation or knockdown of the genes or mRNA encoding these proteins abrogates the stimulatory effect of EGF. Thus, we have identified a novel pathway that links EGF receptor stimulation with RhoG/ELMO2/ILK complexes and activation of Rac1 in the acquisition of front-rear polarity. 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 1249. doi:1538-7445.AM2012-1249
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) | 0.000 | 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) | 0.008 | 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".