Bibliographic record
Abstract
Tissue transglutaminase (TG2) is a ubiquitous enzyme that cross-links glutamine residues with lysine residues, resulting in protein polymerization, cross-linking of dissimilar proteins, and incorporation of diamines and polyamines into proteins. It has not previously been known to have kinase activity. Recently, insulin-like growth factor-binding protein-3 (IGFBP-3) has been reported to be phosphorylated by breast cancer cell membranes. We purified the IGFBP-3 kinase activity from solubilized T47D breast cancer cell membranes using gel filtration, ion-exchange chromatography, and IGFBP-3 affinity chromatography. The fractions containing kinase activity were further purified by high pressure liquid chromatography and analyzed by tandem mass spectroscopy. TG2 was detected in fractions containing kinase activity. Antisera to TG2 and protein A-Sepharose were used to immunoprecipitate TG2 from membrane fractions. The immunoprecipitates retained IGFBP-3 kinase, whereas immunoprecipitation deleted kinase activity in the membrane supernatant. The inhibitors of TG2, cystamine and monodansyl cadaverine, abolished the ability of the T47D cell membrane preparation to phosphorylate IGFBP-3. Both TG2 purified from guinea pig liver and recombinant human TG2 expressed in insect cells were able to phosphorylate IGFBP-3. TG2 kinase activity was inhibited in a concentration-dependent fashion by calcium, which has previously been shown to be important for the cross-linking activity of TG2. These data provide compelling evidence that TG2 has intrinsic kinase activity, a function that has not previously been ascribed to TG2. Furthermore, we provide evidence that TG2 is a major component of the IGFBP-3 kinase activity present on breast cancer cell membranes.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".