The long form of <scp>pVHL</scp> is artifactually modified by serine protease inhibitor <scp>AEBSF</scp>
Bibliographic record
Abstract
Abstract von Hippel–Lindau protein (pVHL) is the tumor suppressor responsible for ubiquitylating the hypoxia‐inducible factor (HIF) family of transcription factors for degradation under normoxic conditions. There are two major pVHL isoforms with the shorter isoform (pVHL19) lacking the acidic domain present in the N‐terminus of the longer isoform (pVHL30). Although both isoforms can degrade HIF and suppress tumor formation in experimental systems, previous research suggests that pVHL30 can undergo posttranslational modifications (PTM) and interact with unique proteins. Indeed, pVHL30 has long been observed to migrate as two species on a reducing polyacrylamide gel, indicating the presence of an uncharacterized PTM on the slower‐migrating pVHL30 without an identifiable biological consequence. Thus, there has been considerable effort to elucidate the exclusive biological activity of pVHL30, if any, by first defining the unique features of the slower‐migrating species. We show here that the migration of pVHL30, but not pVHL19, is retarded by 4‐(2‐aminoethyl)benzenesulfonyl fluoride hydrochloride (AEBSF), an irreversible serine protease inhibitor commonly found in protease inhibitor cocktails.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".