Mechanisms of hairyenhancer of split 6 function during mammalian neuronal development
Bibliographic record
Abstract
Hes1 is a mammalian basic helix loop helix (bHLH) factor that inhibits neuronal differentiation by mediating transcription repression mechanisms together with corepressors of the Gro/TLE family. The interaction of Hes1 with Gro/TLE is mediated by a WRPW tetrapeptide present at the carboxy-terminus of all Hes proteins. Another lies protein, Hes6, also interacts with Gro/TLE through its WRPW motif. Contrary to Hes1, Hes6 promotes neuronal differentiation. It is shown here that Hes6 negatively regulates Hes1 activity by at least two mechanisms. Hes6 promotes a proteolytic degradation of Hes1. Moreover, Hes6 inhibits the interaction of Hes1 with its transcriptional corepressor, Gro/TLE. Hes6 inhibits Hes1-mediated transcriptional repression in cortical neural progenitor cells. Consistent with these observations, Hes6 promotes the differentiation of cortical neurons, a process normally inhibited by Hes1. Taken together, these results clarify molecular mechanisms underlying the neurogenic activity of Hes6.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".