New nuclear partners for nucleosome assembly protein 1: unexpected associations
Bibliographic record
Abstract
Histone chaperones are important players in chromatin dynamics. They are instrumental in nucleosome assembly and disassembly and in histone variant exchange reactions that occur during DNA transactions. The molecular mechanisms of their action are not well understood and may involve interactions with various protein partners in the context of the nucleus. In an attempt to further elucidate nuclear roles of histone chaperones, we performed a proteomic search for nuclear partners of a particular histone chaperone, nucleosome assembly protein 1 (Nap1). Proteins recognized as Nap1 partners by immuno-affinity capture and Far Western blots were identified by mass spectrometry. The identified partners are known to participate in a number of nuclear processes, including DNA replication, recombination, and repair as well as RNA transcription and splicing. Finding nuclear actin among the Nap1 partners may be of particular significance, in view of actin's role in transcription, transcription regulation, and RNA splicing. We are proposing a model of how actin-Nap1 interaction may be involved in transcription elongation through chromatin. In addition, awareness of the interactions between Nap1 and Hsp70, another identified partner, may help to understand nucleosome dynamics around sites of single-strand DNA break repair. These studies represent a starting point for further investigation of Nap1 associations in human cells.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".