DNAR-11. NUCLEAR POTASSIUM GOVERNS NUCLEAR ENVELOPE INTEGRITY AND GENOMIC STRUCTURE IN MEDULLOBLASTOMA
Bibliographic record
Abstract
Abstract Potassium is the most abundant intracellular cation with crucial functions such as regulating cell proliferation, migration, and differentiation. Potassium flux across cellular membranes is controlled by potassium channels. While the role of cytosolic potassium has been researched for many decades, very little is known about the modulation or significance of potassium in the cell nucleus. Here, we identify potassium channel subunit KCNG1 as a novel regulator of nuclear potassium in medulloblastoma (MB), the most common malignant pediatric brain tumour. Using genetically encoded Förster resonance energy transfer (FRET)-based potassium sensors, we show that KCNG1 regulates nuclear potassium level independently of cytosolic potassium level. KCNG1 knockdown alters the genomic architecture of MB cells by stabilizing G-quadruplex (G4) DNA, inducing DNA damage, and reducing nuclear envelope-associated heterochromatin. Ultimately, KCNG1 deficiency results in nuclear swelling, thereby compromising nuclear envelope integrity and inducing DNA spillage into the cytosol to activate the pro-inflammatory cGAS/STING pathway. Genetic knockdown of KCNG1 mitigates tumour growth and prolongs the survival of mice bearing MB of distinct subgroups. Altogether, our findings reveal that nuclear potassium regulates genomic structure and nuclear envelope integrity and demonstrate that targeting a nuclear potassium channel can be leveraged to activate immunogenic signalling in MB.
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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".