Regulated compartmentalization of enzymes in Golgi by GRASP55 controls cellular glycosphingolipid profile and function
Bibliographic record
Abstract
Abstract Glycans are important regulators of cell and organismal physiology. This requires that the glycan biosynthesis be controlled to achieve specific cellular glycan profiles. Glycans are assembled in the Golgi apparatus on secretory cargoes that traverse it. The mechanisms by which the Golgi apparatus ensures cell- and cargo-specific glycosylation remain obscure. We investigated how the Golgi apparatus regulates glycosylation by studying biosynthesis of glycosphingolipids, glycosylated lipids with critical roles in signalling and differentiation. We identified the Golgi matrix protein GRASP55 as a controller of sphingolipid glycosylation by regulating the compartmentalized localization of key sphingolipid biosynthetic enzymes in the Golgi. GRASP55 controls the localization of the enzymes by binding to them and regulating their entry into peri-Golgi vesicles. Impairing GRASP55-enzyme interaction decompartmentalizes these enzymes, changes the substrate flux across competing glycosylation pathways that results in alteration of the cellular glycosphingolipid profile. This GRASP55 regulated pathway of enzyme compartmentalization allows cells to make cell density-dependent adaptations in glycosphingolipid biosynthesis to suit cell growth needs. Thus, the Golgi apparatus controls the cellular glycan (glycosphingolipid) profile by governing competition between biosynthetic reactions through regulated changes in enzyme compartmentalization.
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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 | 0.001 |
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".