Transmembrane Topology of Mammalian Planar Cell Polarity Protein Vangl1
Bibliographic record
Abstract
Vangl1 and Vangl2 are membrane proteins that play an important role in neurogenesis, and Vangl1/Vangl2 mutations cause neural tube defects in mice and humans. At the cellular level, Vangl proteins regulate the establishment of planar cell polarity (PCP), a process requiring membrane assembly of asymmetrically distributed multiprotein complexes that transmit polarity information to neighboring cells. The membrane topology of Vangl proteins and the protein segments required for structural and functional aspects of multiprotein membrane PCP complexes is unknown. We have used epitope tagging and immunofluorescence to establish the secondary structure of Vangl proteins, including the number, position, and polarity of transmembrane domains. Antigenic hemagglutinin A (HA) peptides (YYDVPDYS) were inserted in predicted intra- or extracellular loops of Vangl1 at positions 18, 64, 139, 178, 213, and 314, and individual mutant variants were stably expressed at the membrane of MDCK polarized cells. The membrane topology of the exofacial HA tag was determined by a combination of immunofluorescence in intact (extracellular epitopes) and permeabilized (intracellular epitopes) cells and by surface labeling. Results indicate that Vangl proteins have a four-transmembrane domain structure with the N-terminal portion (HA18 and HA64) and the large C-terminal portion (HA314) of the protein being intracellular. Topology mapping and hydropathy profiling show that the loop delineated by TMD1-2 (HA139) and TMD3-4 (HA213) is extracellular while the segment separating predicted TMD2-3 (HA178) is intracellular. This secondary structure reveals a compact membrane-associated portion with very short predicted extra- and intracellular loops, while the protein harbors a large intracellular domain.
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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) | 0.001 | 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".