Regulation of CTP: Phosphocholine Cytidylyltransferase Activity by the Physical Properties of Lipid Membranes: An Important Role for Stored Curvature Strain Energy
Bibliographic record
Abstract
CTP:Phosphocholine cytidylyltransferase (CT) catalyzes the key step in phosphatidylcholine (PC) synthesis. CT is activated by binding to certain lipid membranes. The membrane binding affinity of CT can vary from micromolar to millimolar K(d), depending on the lipid composition of the target membrane. Class II CT activators like diacylglycerols and unsaturated phosphatidylethanolamines (PE) favor inverted lipid phase formation. The mechanism(s) governing CT's association with class II lipid membranes and subsequent activation are relatively unknown. We measured CT activation by vesicles composed of PC and one of three unsaturated PEs, dioleoylglycerol (DOG), or cholesterol. For each lipid system, we estimated the stored curvature strain energy of the monolayer when confined to a relatively flat bilayer. CT binding and activation correlate very well with the curvature strain energy of several chemically distinct class II lipid systems, with the exception of those containing cholesterol, in which CT activation was less than the increase in curvature strain. CT activation by membranes containing DOG was reversed by inclusion of specific lysolipids, which reduce curvature strain energy. LysoPC, which has a larger positive curvature than lysoPE, produced greater inhibition of CT activation. Stored curvature strain energy is thus an important determinant of CT activation. Membrane interfacial polarity was investigated using a membrane-anchored fluorescent probe. Decreases in quenching of this interfacial probe by doxyl-PCs in class II membranes suggest the probe adopts a more superficial membrane location. This may reflect an increased surface hydrophobicity of class II lipid membranes, implying a role for surface dehydration in CT's interactions with membranes containing class II lipids. Cholesterol, a poor activator of CT, did not affect the positioning of the polarity-sensitive probe, suggesting that one reason for its ineffectiveness is an inability to enhance surface hydrophobicity.
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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 | 0.001 | 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".