The Insertion of an ATTTC Repeat in an Alu Element Hyperactivates a Primate-Specific Neurodevelopmental Enhancer in Spinocerebellar Ataxia Type 37
Bibliographic record
Abstract
Summary Alu are evolutionarily very old primate-specific interspersed repeat elements that constitute ∼11% of the human genome. They are a source of short tandem repeats (STRs), which often expand in size and originate inherited neuromuscular and neurodegenerative disorders. How expanded STR insertion mutations within Alu STRs culminate in disease remains unknown. Here we report an Alu STR located in an intron of DAB1 that functions as a neurodevelopmental enhancer. We demonstrated that an ATTTC repeat insertion in this DAB1 Alu STR, known to cause spinocerebellar ataxia type 37 (SCA37), hyperactivates a neurodevelopmental DAB1 enhancer. Importantly, we showed that neurons derived from SCA37 subjects have higher levels of DAB1 expression and DAB1 overexpression causes abnormal axonal pathfinding in vivo . Overall, these results establish that neuronal dysregulation of a developmental DAB1 Alu STR enhancer contributes to SCA37 pathogenesis, an unexplored mechanism likely acting in many Alu STR diseases, potentially reshaping the therapeutic landscape.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".