Cloning and characterization of mammalian UDP-glucose glycoprotein: glucosyltransferase and the development of a specific substrate for this enzyme
Bibliographic record
Abstract
The endoplasmic reticulum enzyme UDP-glucose glycoprotein:glucosyltransferase (UGGT) has the unique property of recognizing incompletely folded glycoproteins and, if they carry an N -linked Man(9)GlcNAc(2)oligosaccharide, of catalyzing the addition of a glucose residue from UDP-glucose. Using peptide sequence information, we have isolated the complete cDNA of rat liver UGGT and expressed it in insect cells. The cDNA specifies an open reading frame which codes for a protein of 1527 residues including an 18 amino acid signal peptide. The protein has a C-terminal tetrapeptide (HEEL) characteristic of endoplasmic reticulum luminal proteins. The purified recombinant enzyme shows the same preference for unfolded polypeptides with N -linked Man(9)GlcNAc(2)glycans as the enzyme purified from rat liver. A genetically engineered Saccharomyces cerevisiae strain capable of producing glyco-proteins with Man(9)GlcNAc(2)core oligosaccharides was constructed and secreted acid phosphatase (G0-AcP) was purified. G0-AcP was used as an acceptor glycoprotein for UGGT and found to be a better substrate than the previously used soybean agglutinin and thyroglobulin. Recombinant rat UGGT has a K (m) of 44 microM for UDP-glucose. A proteolytic fragment of UGGT was found to retain enzymatic activity thus localizing the catalytic site of the enzyme to the C-terminal 37 kDa of the protein. Using site-directed mutagenesis and photoaffinity labeling, we have identified residues D1334, D1336, Q1429, and N1433 to be necessary for the catalytic activity of the enzyme.
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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 | 0.001 |
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".