Polyphosphate as a Novel Regulator of Super-Enhancer Complexes: Disruption of Phase Separation and Gene Expression
Bibliographic record
Abstract
Abstract Inorganic polyphosphate (polyP) is a highly conserved linear polymer of orthophosphate, present across nearly all living organisms. Its functional diversity, particularly through recently discovered post-translational modifications, has garnered increasing scientific interest. However, its role in gene regulation, especially in mammalian systems, remains unexplored. In this study, we present findings that demonstrate that polyP multi-targets the super-enhancer complex to regulate gene expression, marking a novel mechanism of transcriptional control. We show that polyP modifies key components of the complex, including the Mediator subunit MED1, the coactivator Bromodomain-containing protein 4 (BRD4), and the transcriptional regulator Yin Yang 1 (YY1). This polyP-mediated modification not only disrupts their ability to undergo phase separation but also downregulates the expression of MED1 and BRD4, as well as impairs the nuclear localization of YY1. Furthermore, polyP inhibits YY1 dimer formation and disrupts YY1-mediated DNA looping, leading to suppressed gene expression. These discoveries highlight polyP as a novel regulator of super-enhancer-driven gene transcription and provide new insights into the broader role of polyP in epigenetic regulation. This work uncovers a previously unknown layer of gene control, positioning polyP as a critical player in transcriptional regulation through its interaction with transcription factors and coactivators.
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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 | 0.000 | 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".