Emerging roles of High Mobility Group A (HMGA) family members in nuclear organization
Bibliographic record
Abstract
Chromatin remodeling plays a crucial role in gene expression. Chromatin architecture is governed by the interaction of a variety of proteins and transcription factors, including histones and non-histone chromatin-binding factors. Non-histone proteins, such as high mobility group-associated proteins High Mobility Group A (HMGA), are key players in this process. They do not have transcriptional activity per se but comprise flexible intrinsically disordered proteins (IDP) that interact with nucleosomes to change the compaction of chromatin at enhancers and promoters, thereby modulating the process of transcription. HMGA proteins have attained significant attention for their role in the regulation of gene expression during development, cell differentiation and in cellular senescence. Their molecular interactions are controlled by posttranslational modifications which determine nucleoprotein complex formation and function. This review highlights the role of HMGA proteins in nuclear organization, at telomeres and centromere regions and in senescence-associated heterochromatin foci and links these spatiotemporal chromatin architectural functions to the molecular domain structure of HMGA proteins in fine-tuning dynamic chromatin states.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".