The Fanconi anemia pathway has a dual function in Dickkopf-1 transcriptional repression
Bibliographic record
Abstract
Fanconi anemia (FA) is an inherited bone marrow failure syndrome associated with a progressive decline in hematopoietic stem cells, developmental defects, and predisposition to cancer. These various phenotypic features imply a role of FA proteins in molecular events regulating cellular homeostasis. Interestingly, we previously found that the Fanconi C protein (FANCC) interacts with the C-terminal-binding protein-1 (CtBP1) involved in transcriptional regulation. Here we report that FANCC with CtBP1 forms a complex with β-catenin, and that β-catenin activation through glycogen synthase kinase 3β inhibition leads to FANCC nuclear accumulation and FA pathway activation, as measured by the Fanconi D2 protein (FANCD2) monoubiquitination. β-catenin and FANCC nuclear entry is defective in FA mutant cells and in cells depleted of the Fanconi A protein or FANCD2, suggesting that integrity of the FA pathway is required for FANCC nuclear activity. We also report that FANCC with CtBP1 acts as a negative regulator of Dickkopf-1 (DKK1) expression, and that a FA disease-causing mutation in FANCC abrogates this function. Our findings reveal that a defective FA pathway leads to up-regulation of DKK1, a molecule involved in hematopoietic malignancies.
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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".