Expression, Purification, and Properties of a Human Arachidonoyl-Specific Isoform of Diacylglycerol Kinase
Bibliographic record
Abstract
Diacylglycerol kinase ε (DGKε) catalyzes the phosphorylation of diacylglycerol, producing phosphatidic acid. DGKε demonstrates exquisite specificity for the acyl chains of diacylglycerol. This contributes to the enrichment of particular acyl chains within the lipids of the phosphatidylinositol cycle. Phosphatidylinositol is highly enriched with 1-stearoyl-2-arachidonoyl, which is important for maintaining cellular health. Dysregulation of DGKε perturbs lipid signaling and biosynthesis, which has been linked to epilepsy, Huntington's disease, and heart disease. Recessive loss-of-function mutations in the DGKε gene cause atypical hemolytic uremic syndrome. Because DGKε has never been purified, little is known about its molecular properties. We expressed human DGKε and a truncated version lacking the first 40 residues (DGKεΔ40) and purified both proteins to near homogeneity using nickel affinity chromatography. Kinase activity measurements showed that both purified constructs retained their acyl chain specificity for diacylglycerol with an activity level comparable to that of N-terminally FLAG epitope-tagged forms of these proteins expressed in COS7 cells. Both constructs lost activity upon being stored, particularly upon freezing and thawing, which was minimized by the addition of glycerol. Circular dichroism revealed that DGKε and DGKεΔ40 both contain significant amounts of α-helical and β structure and exhibit biphasic thermal denaturations. The loss of secondary structure upon heating was irreversible for both constructs, with relatively little effect of added dioleoylphosphatidylcholine. The addition of 50% glycerol stabilized both constructs and facilitated refolding of their secondary structures after heating. This is the first successful purification and characterization of DGKε's enzymatic and conformational properties. The purification of DGKε permits detailed analyses of this unique enzyme and will improve our understanding of DGKε-related diseases.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".