HEB associates with PRC2 and SMAD2/3 to regulate developmental fates
Bibliographic record
Abstract
In embryonic stem cells, extracellular signals are required to derepress developmental promoters to drive lineage specification, but the proteins involved in connecting extrinsic cues to relaxation of chromatin remain unknown. We demonstrate that the helix-loop-helix (HLH) protein, HEB, directly associates with the Polycomb repressive complex 2 (PRC2) at a subset of developmental promoters, including at genes involved in mesoderm and endoderm specification and at the Hox and Fox gene families. While we show that depletion of HEB does not affect mouse ESCs, it does cause premature differentiation after exposure to Activin. Further, we find that HEB deposition at developmental promoters is dependent upon PRC2 and independent of Nodal, whereas HEB association with SMAD2/3 elements is dependent of Nodal, but independent of PRC2. We suggest that HEB is a fundamental link between Nodal signalling, the derepression of a specific class of poised promoters during differentiation, and lineage specification in mouse ESCs. In embryonic stem cells, extracellular signals are required to derepress developmental promoters to drive lineage specification, but the proteins involved in this process remain unknown. Here the authors show that the protein HEB directly associates with the Polycomb repressive complex 2 at genes involved in mesoderm and endoderm specification.
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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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".