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 (pVHL 19 ) lacking the acidic domain present in the N‐terminus of the longer isoform (pVHL 30 ). Although both isoforms can degrade HIF and suppress tumor formation in experimental systems, previous research suggests that pVHL 30 can undergo posttranslational modifications (PTM) and interact with unique proteins. Indeed, pVHL 30 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 pVHL 30 without an identifiable biological consequence. Thus, there has been considerable effort to elucidate the exclusive biological activity of pVHL 30 , if any, by first defining the unique features of the slower‐migrating species. We show here that the migration of pVHL 30 , but not pVHL 19 , is retarded by 4‐(2‐aminoethyl)benzenesulfonyl fluoride hydrochloride (AEBSF), an irreversible serine protease inhibitor commonly found in protease inhibitor cocktails.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".