Zebrafish Mir Antagonizes Frizzled 7-Induced Gastrulation Defects
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Although Xenopus studies have shown that Frizzled 7 activates at least two noncanonical signaling pathways, it is less clear which, if any, of these signaling pathways are downstream of Frizzled 7 in zebrafish. Cotransfection of Frizzled 7a (Fz7a) or Frizzled 7 (Fz7) and Xenopus Dsh-GFP results in the translocation of Dsh from the cytoplasm to the plasma membrane, a key step in canonical and noncanonical Wnt signaling. Overexpression of both zebrafish Frizzled 7 orthologs perturbs gastrulation, leading to tail defects. Rescue experiments using downstream components of the Xenopus noncanonical Wnt pathways indicate that zebrafish Fz7a and Fz7 signal through different noncanonical components. Although co-injection of pertussis toxin or a dominant negative Cdc42 rescues incomplete gastrulation caused by Fz7a, neither has any significant effect on Fz7 induced gastrulation defects. Likewise, the Fz7 overexpression phenotype, but not that of Fz7a, is rescued by myosin regulatory light chain interacting protein (Mir) and its binding partner Annexin V. Together these results indicate that Fz7a and Fz7 signal through different pathways during zebrafish gastrulation, and that Mir and Annexin V antagonize Fz7 signaling.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 0.000 |
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 it