Regulation of T cell development by the transcription factor HEBAlt (82.1)
Bibliographic record
Abstract
Abstract The transcription factor HEBAlt is derived from the HEB gene locus, which also encodes the E2A-related factor HEBCan (Can=canonical). HEBAlt is expressed in early lymphocyte precursors. HEBAlt is synergistically upregulated in T cell precursors by Delta-Notch signaling and HEBCan activity, and ectopic expression of HEBAlt in uncommitted precursors enhances entry into the T cell lineage. By contrast, HEBAlt is only expressed in committed B cell precursors, and expression prior to commitment blocks B cell development. A role for HEBAlt in the repression of CD8alpha transcription at the pro-T cell stage of development is suggested by loss of CD8 in the presence of HEBAlt, and upregulation of CD8 in pro-T cells by an HEBAlt-engrailed repressor construct. HEBAlt can also influence the fate choice between the gamma-delta T cell lineage and the alpha-beta T cell lineage. These results suggest that HEBAlt is important in multiple aspects of early T cell development, including locking in the T/B lineage choice downstream of Notch signaling, repressing T cell-specific genes poised for expression past TCRbeta selection, and influencing an early T cell lineage decision.
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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 | 0.001 |
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".