Transforming Growth Factor (TGF)-β1 Internalization
Bibliographic record
Abstract
Transforming growth factor-beta (TGF-beta) internalization was studied by monitoring the uptake of (125)I-TGF-beta1 in Mv1Lu cells, which endogenously express TGF-beta receptors types I (RI), II (RII), and III (RIII), and 293 cells transfected with RI and RII. At 37 degrees C internalization occurred rapidly, within 10 min of ligand addition. Internalization was optimal in 293 cells expressing both RI and RII. Internalization was prevented by phenylarsine oxide, a nonspecific inhibitor of receptor internalization, but was not affected by reagents that interfere with clathrin-mediated endocytosis such as monodansylcadaverine, K44A dynamin, and inhibitors of endosomal acidification. Electron microscopic examination of Mv1Lu cells treated with (125)I- TGF-beta1 at 37 degrees C indicated that internalization occurred via a noncoated vesicular mechanism. Internalization was prevented by prebinding cells with TGF-beta1 at 4 degrees C for 2 h prior to switching the cells to 37 degrees C. This was attributed to a loss of receptor binding, as indicated by a rapid decrease in the amount of TGF-beta1 bound to the cell surface at 37 degrees C and by a reduction in the labeling intensities of RI and RII in (125)I-TGF-beta1-cross-linking experiments. Mv1Lu or 293 (RI+RII) cells, prebound with TGF-beta1 at 4 degrees C and subsequently stripped of ligand by an acid wash, nevertheless initiated a signaling response upon transfer to 37 degrees C, suggesting that prebinding promotes formation of stable RI.RII complexes that can signal independently of ligand.
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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 | 0.001 | 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".