Substrate specificity controlled by the exit site of human P4-ATPases, revealed by de novo point mutations in neurological disorders
Bibliographic record
Abstract
The maintenance of lipid asymmetry on the plasma membrane is regulated by flippases, such as ATP8A2, ATP11A, and ATP11C, which translocate phosphatidylserine and phosphatidylethanolamine from the outer leaflet to the inner leaflet. We previously identified a patient-derived point mutation (Q84E) in ATP11A at the phospholipid entry site, which acquired the ability to flip phosphatidylcholine (PtdCho). This mutation led to elevated levels of sphingomyelin (SM) in the outer leaflet of the plasma membrane. We herein present two de novo ATP11A dominant mutations (E114G and S399L) in heterozygous patients exhibiting neurological and developmental disorders. These mutations, situated near the predicted phospholipid exit site, similarly confer the ability for ATP11A to recognize PtdCho as a substrate, resulting in its internalization into cells. Cells expressing these mutants had increased SM levels on their surface, attributed to the up-regulated expression of the sphingomyelin synthase-1 gene, rendering them more susceptible to SM phosphodiesterase-mediated cell lysis. Corresponding mutations in ATP11C and ATP8A2, paralogs of ATP11A, exerted similar effects on PtdCho-flipping activity and increased SM levels on the cell surface. Molecular dynamics simulations, based on the ATP11C structure, suggest that the E114G and S399L mutations enhance ATP11C’s affinity toward PtdCho. These findings underscore the importance of the well-conserved exit and entry sites in determining phospholipid substrate specificity and indicate that aberrant flipping of PtdCho contributes to neurological disorders.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".