Autism-related proteins form a complex to maintain the striatal asymmetry in mice
Bibliographic record
Abstract
The brain's hemispheres exhibit profound lateralization, yet the underlying mechanisms remain elusive. Using proteomic and phosphoproteomic analyses of the bilateral striatum - a hub for important brain functions and a common node of autism pathophysiology - we identified significant phosphorylation asymmetries. Particularly, the phosphorylation processes in the left striatum appear more prone to disturbance. Notably, SH3RF2, whose single-copy knockout leads to autism spectrum disorder (ASD)-like behaviors in mice, is uniquely expressed in the striatum, forming a complex with CaMKII (an ASD-associated protein) and PPP1CC. Loss of SH3RF2 disturbs the CaMKII/PP1 "switch", resulting in hyperactivity of CaMKII and increased phosphorylation of its substrate GluR1. In Sh3rf2-deficient mice, heightened GluR1-Ser831 phosphorylation and its aberrant postsynaptic membrane localization in the left striatum may impair the functional lateralization of striatal neurons and contribute to autism-like behaviors. This study unveils the first molecular mechanism governing brain lateralization in mammals, linking its impairment to autism development and treatment strategies.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".