HEBAlt: a potent transcriptional regulator of proliferation in developing B cell precursors (83.8)
Bibliographic record
Abstract
Abstract The basic helix-loop-helix transcription (bHLH) factor E2A is essential for B cell development, and can act as a homodimer or as a heterodimer with the closely related bHLH factor HEB. We have identified a short form of HEB called HEBAlt, which differs from the long form of HEB in its structure, function, and regulation, and which is conserved in vertebrates, including humans. Within hematopoiesis, HEBAlt is expressed only in developing T cell and B cell precursors. HEBAlt is strongly upregulated in pre-B cells, but is absent in IgM+ B cells. Retroviral expression of HEBAlt in multipotent hematopoietic precursors partially blocks B cell development. However, committed B cell precursors expressing ectopic HEBAlt undergo rapid expansion and exhibit extended survival in culture. HEBAlt-induced expansion arises from a limited number of precursors, indicating that secondary events collaborate with HEBAlt to cause loss of growth control. IL-7R and cyclin D3 are upregulated in HEBAlt-transduced cells, suggesting that HEBAlt normally functions to promote proliferation of early B cell precursors. Furthermore, downregulation of HEBAlt may be required for quiescence during Ig light chain rearrangement. These results suggest that dysregulation of HEBAlt could play an initiating role in the oncogenic transformation of B cell precursors.
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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".