Staufen2 isoforms localize to the somatodendritic domain of neurons and interact with different organelles
Bibliographic record
Abstract
Mammalian Staufen2 (Stau2) is involved in mRNA transport in neurons. Here, we report that Stau2 is a double-stranded RNA-binding protein that is mainly expressed in the brain. We show that Stau2 is found in the somatodendritic compartment of neurons. In dendrites, Stau2 is aligned on individual tracts and colocalizes with microtubules. Stau2 is expressed as at least three splice isoforms, which can be observed in several subcellular complexes. Although a 62 kDa isoform (Stau2(62)) fractionates in ribosome-free fractions of light density, Stau2(59) and Stau2(52) are found in high-density complexes. These complexes are resistant to EDTA and to non-ionic detergent. For the first time, we also provide evidence for an interaction of some Stau2 isoforms with ribosomes, thus pointing to an interesting new role for Stau2 in translation. EDTA treatment, which dissociates ribosome subunits, does not release Stau2 from the subunits, suggesting that Stau2-ribosome associations are not mediated mainly by mRNA intermediates. Although Stau2 has many features in common with its paralogue Stau1, it does not colocalize with Stau1-containing particles, indicating that these proteins are components of different complexes in dendrites. Our findings suggest that members of the Staufen family share evolutionarily conserved properties and highlight the complexity of Staufen-mediated RNA transport in neurons.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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 | 0.001 |
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".