Zebrafish tyrosylprotein sulfotransferase: molecular cloning, expression, and functional characterization
Bibliographic record
Abstract
By employing the reverse transcriptase-polymerase chain reaction technique in conjunction with 3' rapid amplification of cDNA ends, a full-length cDNA encoding a zebrafish (Danio rerio) tyrosylprotein sulfotransferase (TPST) was cloned and sequenced. Sequence analysis revealed that this zebrafish TPST is, at the amino acid sequence level, 66% and 60% identical to the human and mouse TPST-1 and TPST-2, respectively. The recombinant form of the zebrafish TPST, expressed in COS-7 cells, exhibited a pH optimum at 5.75. Manganese appeared to exert a stimulatory effect on the zebrafish TPST. The activity of the enzyme determined in the presence of 20 mM MnCl2 was more than 2.5 times that determined in the absence of MnCl2. Of the other nine divalent metal cations tested at a 10 mM concentration, Co2+ also showed a considerable stimulatory effect, while Ca2+, Pb2+, and Cd2+ exerted some inhibitory effects. The other four divalent cations, Fe2+, Cu2+, Zn2+, and Hg2+, inhibited completely the sulfating activity of the zebrafish TPST. Using the wild-type and mutated P-selectin glycoprotein ligand-1 N-terminal peptides as substrates, the zebrafish TPST was shown to exhibit a high degree of substrate specificity for the tyrosine residue on the C-terminal side of the peptide. These results constitute a first study on the cloning, expression, and characterization of a zebrafish cytosolic TPST.
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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".