The p21-activated kinase Pak1 regulates induction and migration of the neural crest in Xenopus
Bibliographic record
Abstract
Pak1 is a member of the PAK family of serine/threonine kinases that are downstream effectors of Rac1 and Cdc42 small GTPases and are implicated in cytoskeleton reorganization. Early expression of Pak1 in Xenopus embryos is tissue restricted, suggesting a role in organogenesis and in cranial neural crest (CNC) cell migration. By observing CNC in vivo and after transplantation, we show that a dominant-negative (DN) Pak1 inhibits its migration. DN-Pak1 also specifically modified the expression of several NC markers. Twist expression was decreased and Snail1 expression posteriorized, but Snail2 (Slug), Sox9 and AP2 were unaffected. DN-Pak1 inhibition of CNC migration could be rescued with Snail1 but not with Twist, which, in fact, cooperated with DN-Pak1 in inhibiting migration. The data confirm that neither Snail1 nor Snail2 expression alone is sufficient for Xenopus CNC migration. Furthermore, they show that, in this tissue, Snail1 and Snail2 expression is not interdependent, nor are these factors subject to obligatory co-regulation, and that their expression depends on signal transduction. Our results also represent the first evidence that Pak1 links extracellular signals to the genetic cascade of transcription factors necessary for CNC specification.
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".