em E2 em A basic helix-loop-helix transcription factors in human leukemia
Bibliographic record
Abstract
The gene E2A on chromosome 19 is involved in recurrent chromosomal rearrangements associated with pediatric acute lymphoblastic leukemia. The resulting fusion of 5' E2A sequences with 3' portions of other genes leads to the expression of two well-characterized fusion proteins: E2A-PBX1 and E2A-HLF. Since the E2A, PBX1 and HLF proteins all appear to function as transcription factors, it appears likely that the oncogenic fusion proteins contribute to leukemia development by causing abnormal transcriptional regulation of key target genes. Furthermore, since the E2A portion of the fusion proteins contains transcriptional activation domains, and the PBX1 and HLF portions contain DNA binding domains, leukemogenesis may be due, at least in part, to excessive transcriptional induction of target genes defined by PBX1 or HLF. However, recent findings suggest that this model is simplistic and possibly incorrect. In this article, I review the evidence pertaining to leukemogenesis by the well-characterized E2A-fusion proteins and consider its mechanistic implications.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".