H2AX: tailoring histone H2A for chromatin-dependent genomic integrity
Bibliographic record
Abstract
During the last decade, chromatin research has been focusing on the role of histone variability as a modulator of chromatin structure and function. Histone variability can be the result of either post-translational modifications or intrinsic variation at the primary structure level: histone variants. In this review, we center our attention on one of the most extensively characterized of such histone variants in recent years, histone H2AX. The molecular phylogeny of this variant seems to have run in parallel with that of the major canonical somatic H2A1 in eukaryotes. Functionally, H2AX appears to be mainly associated with maintaining the genome integrity by participating in the repair of the double-stranded DNA breaks exogenously introduced by environmental damage (ionizing radiation, chemicals) or in the process of homologous recombination during meiosis. At the structural level, these processes involve the phosphorylation of serine at the SQE motif, which is present at the very end of the C-terminal domain of H2AX, and possibly other PTMs, some of which have recently started to be defined. We discuss a model to account for how these H2AX PTMs in conjunction with chromatin remodeling complexes (such as INO80 and SWRI) can modify chromatin structure (remodeling) to support the DNA unraveling ultimately required for DNA repair.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".