Characterization of Ceramide Synthase 2
Bibliographic record
Abstract
Ceramide is an important lipid signaling molecule and a key intermediate in sphingolipid biosynthesis. Recent studies have implied a previously unappreciated role for the ceramide N-acyl chain length, inasmuch as ceramides containing specific fatty acids appear to play defined roles in cell physiology. The discovery of a family of mammalian ceramide synthases (CerS), each of which utilizes a restricted subset of acyl-CoAs for ceramide synthesis, strengthens this notion. We now report the characterization of mammalian CerS2. qPCR analysis reveals that CerS2 mRNA is found at the highest level of all CerS and has the broadest tissue distribution. CerS2 has a remarkable acyl-CoA specificity, showing no activity using C16:0-CoA and very low activity using C18:0, rather utilizing longer acyl-chain CoAs (C20-C26) for ceramide synthesis. There is a good correlation between CerS2 mRNA levels and levels of ceramide and sphingomyelin containing long acyl chains, at least in tissues where CerS2 mRNA is expressed at high levels. Interestingly, the activity of CerS2 can be regulated by another bioactive sphingolipid, sphingosine 1-phosphate (S1P), via interaction of S1P with two residues that are part of an S1P receptor-like motif found only in CerS2. These findings provide insight into the biochemical basis for the ceramide N-acyl chain composition of cells, and also reveal a novel and potentially important interplay between two bioactive sphingolipids that could be relevant to the regulation of sphingolipid metabolism and the opposing functions that these lipids play in signaling pathways.
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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 | 0.001 | 0.001 |
| 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) | 0.002 | 0.002 |
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".