Role of Rho GTPases in Human Trophoblast Migration Induced by IGFBP11
Bibliographic record
Abstract
Insulin-like growth factor binding protein 1 (IGFBP1), the main secretory product of the decidualized endometrium of a pregnant woman, has previously been shown to interact with the alpha(5)beta(1) integrin of extravillous trophoblast (EVT) cell surface to stimulate its migration in an IGF-independent manner. This migration stimulation has also been shown to require activation of extracellular signal regulated kinases 1 and 2 (ERK1/2; mitogen-activated protein kinase [MAPK] 3/1]) and focal adhesion kinase. The present study examined the roles of Rho GTPases RHOA, RHOC, RAC1, and CDC42 as well as RHO kinases ROCK1 and ROCK2 in IGFBP1-mediated migration of an immortalized EVT cell line HTR-8/SVneo. A nonselective RHO kinase inhibitor, Y27632, as well as siRNAs selective for ROCK1 and ROCK2 decreased the migration of these cells in a Transwell migration assay, and this inhibition could not be restored by IGFBP1. Clostridium difficile toxin B, which inhibits all the Rho GTPases, RAC inhibitor NSC23766, RAC1 siRNA, and CDC42 siRNA, decreased their basal migration, but none of these inhibitions except CDC42 siRNA-induced inhibition could be restored by IGFBP1. Clostridium botulinum C3 exoenzyme that inhibits RHOA, RHOB, and RHOC inhibited basal migration but not IGFBP1-induced migration. IGFBP1-induced activation of ERK1/2 (MAPK3/1), which did not require RHO proteins, might function as an alternate pathway for RHO action. However, selective siRNA-mediated downregulation of RHOA inhibited basal, but not IGFBP1-mediated, migration, whereas that of RHOC inhibited both basal and IGFBP1-mediated migration of these EVT cells. Therefore, RHO kinase, RHOC, and RAC1 are essential, but RHOA and CDC42 are not essential, for IGFBP1-induced EVT migration.
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) | 0.001 | 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".