Stimulation-induced Down-regulation of Tumor Necrosis Factor-α Converting Enzyme
Bibliographic record
Abstract
The extracellular domains of many proteins, including growth factors, cytokines, receptors, and adhesion molecules, are proteolytically released from cells, a process termed "shedding." Tumor necrosis factor-alpha converting enzyme (TACE/ADAM-17) is a metalloprotease-disintegrin that sheds tumor necrosis factor-alpha and other proteins. To study the regulation of TACE-mediated shedding, we examined the effects of stimulation of cells on TACE localization and expression. Immunofluorescence microscopy revealed a punctate distribution of TACE on the surface of untreated cells, and stimulation of monocytic cells with lipopolysaccharide did not affect TACE staining. Phorbol 12-myristate 13-acetate (PMA), a potent inducer of shedding, decreased cell-surface staining for TACE. Surface biotinylation experiments confirmed and extended this observation; PMA decreased the half-life of surface-biotinylated TACE without increasing the turnover of total cell-surface proteins. Soluble fragments of TACE were not detected in the medium of cells that had down-regulated TACE, and TACE was not down-regulated when endocytosis was inhibited. Antibody uptake experiments suggested that cell-surface TACE was internalized in response to PMA. Surprisingly, a metalloprotease inhibitor prevented the PMA-induced turnover of TACE. Thus, PMA activates shedding and causes the down-regulation of a major "sheddase," suggesting that induced shedding may be regulated by a mechanism that decreases the amount of active TACE on the cell surface.
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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".