Regulation of Wnt‐mediated developmental competency by Pygo‐Bcl9 during body axis specification in Xenopus
Bibliographic record
Abstract
The early Xenopus embryo responds to the Wnt/β‐catenin intracellular signaling pathway by specifying dorsoanterior body structures. The loss of competence to specify the dorsal side at midblastula is followed closely by commitment to the dorsal lineage by transcriptional activation of dorsoanterior genes. The objective of our study is to determine the role of a core component duet of the β‐catenin transcription complex, made up of Pygopus and Legless/Bcl9 (Pygo‐Bcl9) during body axis specification in Xenopus embryos. Pygo‐Bcl9 recruits chromatin‐remodeling factors to the complex located at promoters of actively transcribing Wnt target genes. Maternal depletion of Bcl9 mRNA prevents body axis formation while co‐expression of Pygo‐Bcl9 ectopically activates dorsoanterior gene expression, inducing a supernumerary embryonic axis. Interestingly Bcl9 mRNA is present in the embryo during the period of Wnt/β‐catenin competence, but is rapidly translated at the end of the competency period, when dorsoanterior gene transcription occurs. We hypothesize that translation of Bcl9 defines the end of the period of competency. We propose that the identification of the factors that regulate Bcl9 translation will provide further insight into the molecular mechanisms of developmental competence.
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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 | 0.000 |
| 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 | 0.000 |
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".