Suppressor of Fused Controls Mid-Hindbrain Patterning and Cerebellar Morphogenesis via GLI3 Repressor
Bibliographic record
Abstract
Sonic Hedgehog and its GLI transcriptional effectors control foliation complexity during cerebellar morphogenesis by promoting granule cell precursor proliferation. Here, we reveal a novel contribution of Sonic Hedgehog-GLI signaling to cerebellar patterning and cell differentiation by generating mice with targeted deletion of Suppressor of Fused (SuFu), a regulator of Sonic Hedgehog signaling, in the mid-hindbrain. Postnatal SuFu-deficient mice exhibit impaired motor coordination and severe cerebellar mispatterning. SuFu conditional knock-out embryos display abnormal mid-hindbrain morphology associated with misexpression of Fgf8, and delayed differentiation and abnormal migration of major cerebellar cell types. Sonic Hedgehog is ectopically expressed in the external granule layer and Hedgehog signaling is upregulated. While expression of full-length GLI transcriptional activators downstream of Hedgehogs is markedly reduced, a processed form of GLI3, a transcriptional repressor, is essentially lost. Genetic expression of a Gli3 allele encoding GLI3 repressor in SuFu-deficient mice largely rescues abnormal cerebellar patterning and cell differentiation observed in mice with SuFu deficiency alone. Together, our data demonstrate that SuFu controls cerebellar patterning and cell differentiation in a GLI3 repressor-dependent manner.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".