Restriction of rRNA Synthesis by VHL Maintains Energy Equilibrium under Hypoxia
Bibliographic record
Abstract
Biological evolution abides by an unbending rule obligating organisms to maintain energy equilibrium. Hypoxia reduces cellular energy supply and is thus thought to be deleterious. We report that cells have evolved pH-sensitive mechanisms to maintain energy equilibrium by lowering energy demand. We found that fermentation-induced acidosis allows hypoxic cells to maintain energy equilibrium and viability under hypoxia by restricting ribosomal biogenesis, the most energy-demanding cellular process. Acidosis triggers nucleolar condensation, decreases precursor rRNA synthesis, reduces the dynamic profile of the RNA polymerase I preinitiation factor UBF1 and its interaction with the promoter of rRNA genes (rDNA). These changes require the pH-dependent interaction of the statically detained von Hippel-Lindau tumor suppressor protein (VHL) with rDNA. This phenomenon is promoted by, but does not require, activation of the hypoxia-inducible factor (HIF), a transcription factor implicated in extracellular acidification, energy production and oxygen homeostasis. Abrogating this program by silencing VHL expression, competing rDNA-VHL interaction or preventing environmental acidification triggers energy starvation and cell death under hypoxia. Our data suggest that oxygen-starved cells maintain energy equilibrium by gauging the environmental concentration of H(+) to statically detain VHL to nucleolar rDNA and restrict ribosome production. These findings also provide an explanation for the protective effect of acidosis in ischemic settings such as development, stroke and cancer.
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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) | 0.000 | 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".