The mechanism of serine protease‐induced increases in epithelial barrier function in intestinal epithelial cells (60.7)
Bibliographic record
Abstract
Apical serine proteases increase barrier function in intestinal epithelial cells (IECs). We investigated the requirement for proteolytic, protein kinase C (PKC)ζ, and epidermal growth factor receptor (EGFR) activities in the prolonged transepithelial resistance (TER) response to trypsin in IECs. Methods. 1. SCBN epithelial cell monolayers grown on Transwells were treated with trypsin (45BAU/ml) and collected for measurement of phospho‐PKCζ at 2, 5, 10, 15, 30, and 60 min using Western blot. 2. TER across SCBN monolayers was measured in Ussing chambers. Trypsin activity was inhibited by soybean trypsin inhibitor (SBTI) treatment at 10 min (start of plateau phase of TER response) or 30 min (after plateau phase had been established). 3. To investigate the role of EGFR, cells were pretreated with an EGFR inhibitor (PD15305) before addition of trypsin. Results. 1. Upregulation of phospho‐PKCζ was observed in trypsin‐treated SCBNs for up to 60 min. 2. Apical trypsin caused an increase in TER that reached a sustained plateau by 10 min. SBTI at 30 or 60 μg/ml decreased the trypsin‐induced increase in TER by 65% and 80% (respectively) at 10 min and by 70% and 80% at 30 min. 3. Inhibition of EGFR with PD153035 reduced the trypsin‐induced TER by 55%. Our data show the requirement for ongoing proteolytic activity, sustained PKCζ activation and EGFR activity in the trypsin‐induced increase in intestinal epithelial barrier function. Grant Funding Source : Supported by the Canadian Institutes of Health Research
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".