Identification of five patterns of nucleosome positioning that globally describe transcription factor function
Bibliographic record
Abstract
ABSTRACT Following the binding of transcription factors (TF) to specific regions, chromatin remodeling including alterations in nucleosome positioning (NP) occurs. These changes in NP cause selective gene expression to determine cell function. However whether specific NP patterns upon TF binding determine the transcriptional regulation such as gene activation or suppression is unclear. Here we identified five patterns of NP around TF binding sites (TFBSs) using fixed MNase-Seq analysis. The most frequently observed NP pattern described the transcription state. The five patterns explained approximately 80% of the whole NP pattern on the genome in mouse C2C12 cells. We further performed ChIP-Seq using the input obtained from the fixed MNase-Seq. The result showed that a single trial of ChIP-Seq could visualize the NP patterns around the TFBS and predict the function of the transcriptional regulation at the same time. These findings indicate that NP can directly predict the function of TFs.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".