Stress-Induced Low Complexity RNA Activates Physiological Amyloidogenesis
Bibliographic record
Abstract
Amyloid bodies (A-bodies) are inducible membrane-less nuclear compartments composed of heterogeneous proteins that adopt an amyloid-like state. A-bodies are seeded by noncoding RNA derived from stimuli-specific loci of the rDNA intergenic spacer (rIGSRNA). This raises the question of how rIGSRNA recruits a large population of diverse proteins to confer A-body identity. Here, we show that long low-complexity dinucleotide repeats operate as the architectural determinants of rIGSRNA. On stimulus, clusters of rIGSRNA with simple cytosine/uracil (CU) or adenosine/guanine (AG) repeats spanning hundreds of nucleotides accumulate in the nucleolar area. The low-complexity sequences facilitate charge-based interactions with short cationic peptides to produce multiple nucleolar liquid-like foci. Local concentration of proteins with fibrillation propensity in these nucleolar foci induces the formation of an amyloidogenic liquid phase that seeds A-bodies. These results demonstrate the physiological importance of low-complexity RNA and repetitive regions of the genome often dismissed as "junk" DNA.
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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) | 0.002 | 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".