<i>rbm47</i>, a novel RNA binding protein, regulates zebrafish head development
Bibliographic record
Abstract
BACKGROUND: Vertebrate trunk induction requires inhibition of bone morphogenetic protein (BMP) signaling, whereas vertebrate head induction requires concerted inhibition of both Wnt and BMP signaling. RNA binding proteins play diverse roles in embryonic development and their roles in vertebrate head development remain to be elucidated. RESULTS: We first characterized the human RBM47 as an RNA binding protein that specifically binds RNA but not single-stranded DNA. Next, we knocked down rbm47 gene function in zebrafish using morpholinos targeting the start codon and exon-1/intron-1 splice junction. Down-regulation of rbm47 resulted in headless and small head phenotypes, which can be rescued by a wnt8a blocking morpholino. To further reveal the mechanism of rbm47's role in head development, microarrays were performed to screen genes differentially expressed in normal and knockdown embryos. epcam and a2ml were identified as the most significantly up- and down-regulated genes, respectively. The microarrays also confirmed up-regulation of several genes involved in head development, including gsk3a, otx2, and chordin, which are important regulators of Wnt signaling. CONCLUSIONS: Altogether, our findings reveal that Rbm47 is a novel RNA-binding protein critical for head formation and embryonic patterning during zebrafish embryogenesis which may act through a Wnt8a signaling pathway.
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".