3′ <scp>UTR</scp> variants of <scp>ALS</scp> ‐linked <scp>RNAs</scp> modify subcellular and cellular phenotypes
Bibliographic record
Abstract
While most human genes express mRNA 3'untranslated region (3'UTR) variants of different lengths, their impact on cell physiology and disease remains largely unknown. Here, we studied 3'UTR length heterogeneity in amyotrophic lateral sclerosis (ALS) and determined that three ALS-linked transcripts exhibit lengthening of their 3'UTRs in patient samples. We investigated phenotypical effects in a neuronal cell line expressing these 3'UTRs and observed that expression of these unique 3'UTRs induces morphological changes at different levels. Among the most expressed 3'UTR variants in ALS, NEFH 3'UTR-Long induces the formation of nuclear RNA clusters, and Superoxide Dismutase 1 3'UTR-Long diminishes filopodia in the plasma membrane. Sequestosome 1 3'UTR-Long did not show major changes in nuclear RNA clusters or filopodia. Our findings provide the first evidence that 3'UTRs can modulate cellular phenotype independent of the coding region, further expanding the impact of alterations in mRNA biogenesis in ALS.
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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".