TBX3 advances the developmental chromatin landscape toward the hepatic fate
Bibliographic record
Abstract
By mapping histone modifications in a human stem cell model of hepatic differentiation, we identified an enhancer landscape that is dynamic and stage specific, with many primed at the definitive endoderm stage. While hepatic enhancers gained active histone modifications, non-hepatic enhancers lost H3K4me1 after hepatic specification. T-box transcription factor 3 (TBX3) was found to bind to hepatic enhancers and promoters. TBX3 binding was transient, and only upon the dissociation of TBX3 from its bound regions were active histone modifications acquired. Subsequently, transcription was activated, supporting a role for TBX3 in directly activating the hepatic lineage. Constitutive overexpression of TBX3 indicated that dissociation of TBX3 is crucial for gene activation. TBX3 did not bind to any pancreatic regulatory regions directly, indicating indirect repression of the pancreatic lineage. Together, this suggests that TBX3 plays a role in identifying and bookmarking hepatic enhancers and promoters during specification, which subsequently will be activated to drive cell identity.
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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) | 0.003 | 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".