Bibliographic record
Abstract
The 'high mobility group' HMGA protein family consists of four members: HMGA1a, HMGA1b and HMGA1c, which result from translation of alternative spliced forms of one gene and HMGA2, which is encoded for by another gene. HMGA proteins are characterized by three DNA-binding domains, called AT-hooks, and an acidic carboxy-terminal tail. HMGA proteins are architectural transcription factors that both positively and negatively regulate the transcription of a variety of genes. They do not display direct transcriptional activation capacity, but regulate gene expression by changing the DNA conformation by binding to AT-rich regions in the DNA and/or direct interaction with several transcription factors. In this way, they influence a diverse array of normal biological processes including cell growth, proliferation, differentiation and death. Both HMGA1 and HMGA2 are hardly detectable in normal adult tissue but are abundantly and ubiquitously expressed during embryonic development. In malignant epithelial tumors as well as in leukemia, however, expression of HMGA1 is again strongly elevated to embryonic levels thus leading to ectopic expression of (fetal) target genes. HMGA2 overexpression also has a causal role in inducing neoplasia. Besides overexpression of full length HMGA proteins in different tumors, the HMGA genes are often involved in chromosomal rearrangements. Such translocations are mostly detected in benign tumors of mesenchymal origin and are believed to be one of the most common chromosomal rearrangements in human neoplasia. To provide clarity in the abundance of articles on this topic, this review gives a general overview of the nuclear functions and regulation of the HMGA genes and corresponding proteins.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".