Divergent N-terminal Sequences of a Deubiquitinating Enzyme Modulate Substrate Specificity
Bibliographic record
Abstract
Ubiquitin-specific processing proteases (UBPs) are characterized by a conserved core domain with surrounding divergent sequences, particularly at the N-terminal end. We previously cloned two isoforms of a testis UBP, UBP-t1 and UBP-t2, which contain identical core regions but distinct N termini that target the two isoforms to different subcellular locations (Lin, H., Keriel, A., Morales, C. R., Bedard, N., Zhao, Q., Hingamp, P., Lefrancois, S., Combaret, L., and Wing, S. S. (2000) Mol. Cell. Biol. 20, 6568-6578). To determine whether the N termini also influence the biochemical functions of the UBP, we expressed UBP-t1, UBP-t2, and the common core domain, UBP core, in Escherichia coli. The three isoforms cleaved branched triubiquitin at >20-fold faster rates than linear diubiquitin, suggesting that UBP-testis functions as an isopeptidase. Both N-terminal extensions inhibited the ability of UBP-core to generate free ubiquitin when linked in a peptide bond with itself, another peptide, or to small adducts. The N-terminal extension of UBP-t2 increased the ability of UBP-core to cleave branched triubiquitin. UBP-core removed ubiquitin from testis ubiquitinated proteins more rapidly than UBP-t2 and UBP-t1. Thus, UBP enzymes appear to contain a catalytic core domain, the activities and specificities of which can be modulated by N-terminal extensions. These divergent N termini can alter localization and confer multiple functions to the various members of the large UBP family.
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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 | 0.000 |
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".