Autism-associated PTCHD1 missense variants bind to the SNARE-associated protein, SNAPIN, but exhibit impaired subcellular trafficking
Bibliographic record
Abstract
Abstract Background Patched domain-containing 1 ( PTCHD1 ) is a susceptibility gene for autism spectrum disorder and intellectual disability. Its function in brain development and neurotransmission remains elusive. Studies have sought to characterize PTCHD1 function by elucidating its neural network of interacting proteins. However, given the current paucity of functional information, many PTCHD1 missense variants in clinical databases are classified as variants of uncertain significance (VUSs), severely limiting the healthcare resources available to patients and families. Methods A yeast two-hybrid assay was used to identify synaptic PTCHD1-interacting proteins. Candidate binding partners were validated by cloning; transient over-expression in HEK293T cells, followed by co-immunoprecipitation and immunoblotting; and immunocytochemistry in differentiated P19 cells. To evaluate the pathogenicity of clinical missense variants, site-directed mutagenesis was employed, followed by transient over-expression and immunocytochemistry in non-neuronal (HEK293T) and neuronal (Neuro-2A cells) systems. Results A novel interaction was identified between the first lumenal loop of PTCHD1 and the SNARE-associated protein SNAPIN, which is implicated in synaptic vesicle exocytosis. Clinically associated missense variants within this region did not disrupt SNAPIN binding, indicating that the pathoetiology of these variants is unrelated to this interaction. However, six of the 12 missense variants tested exhibited pronounced retention within the endoplasmic reticulum, and impaired neuronal and non-neuronal trafficking to the plasma membrane. Conclusions These data yield insights regarding the role of PTCHD1 in neurodevelopment and neurotransmission, and suggest a neuropathological mechanism for missense variants. These findings provide a platform for diagnostic assay and VUS interpretation, allowing for clinical re-classification of these variants.
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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".