Redefining Intercellular Signaling: Trafficking Mechanism of The Wnt5b-Ror2 Complex in Zebrafish
Bibliographic record
Abstract
The article titled "Cytoneme-mediated transport of active Wnt5b-Ror2 complexes in zebrafish" was written by Steffen Scholpp and other research teams and was published in "Nature" magazine on December 20, 2023. The research team includes a number of biologists and oceanographic experts who are dedicated to uncovering cell signaling mechanisms.This study explores the trafficking mechanism of Wnt5b and Ror2 complexes in zebrafish embryos. Wnt5b is an important ligand in the Wnt signaling pathway, and Ror2 is its receptor. Both of them play a role in cell polarity and migration. The study found that Wnt5b forms a complex with Ror2 in producer cells and is transported from the producer cell to the recipient cell through cell protrusions (called protrusions). Cell protrusions are elongated cell membrane extensions that serve as signaling "highways" to carry signaling molecules from one cell to another. The research team observed Wnt5b and Ror2 in detail through high-resolution imaging techniques. The results indicate that the Wnt5b-Ror2 complex remains intact during transport and enters the receiving cell via dynein-dependent endocytosis, activating the Wnt-PCP signaling pathway. This mechanism not only enhances the efficiency of signal transmission, but may also influence cell behavior during embryonic development. This study provides new insights into the precise transport of signaling molecules in embryonic development and helps to re-evaluate traditional modes of cell-to-cell communication, which has important applications in aquaculture.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".