Functional Analysis of the Domain Structure of Tumor Necrosis Factor-α Converting Enzyme
Bibliographic record
Abstract
Many membrane-bound proteins, including cytokines, receptors, and growth factors, are proteolytically cleaved to release a soluble form of their extracellular domain. The tumor necrosis factor (TNF)-alpha converting enzyme (TACE/ADAM-17) is a transmembrane metalloproteinase responsible for the proteolytic release or "shedding" of several cell-surface proteins, including TNF and p75 TNFR. We established a TACE-reconstitution system using TACE-deficient cells co-transfected with TACE and substrate cDNAs to study TACE function and regulation. Using the TACE-reconstitution system, we identified two additional substrates of TACE, interleukin (IL)-1R-II and p55 TNFR. Using truncations and chimeric constructs of TACE and another ADAM family member, ADAM-10, we studied the function of the different domains of TACE in three shedding activities. We found that TACE must be expressed with its membrane-anchoring domain for phorbol ester-stimulated shedding of TNF, p75 TNFR, and IL-1R-II, but that the cytoplasmic domain is not required for the shedding of these substrates. The catalytic domain of ADAM-10 could not be functionally substituted for that of TACE. IL-1R-II shedding required the cysteine-rich domain of TACE as well as the catalytic domain, whereas TNF and p75 TNFR shedding required only the tethered TACE catalytic domain.
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 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".