Gliotactin and Discs large form a protein complex at the tricellular junction of polarized epithelial cells in<i>Drosophila</i>
Bibliographic record
Abstract
The tricellular junction (TCJ) forms at the convergence of pleated septate junctions (SJs) from three adjacent cells in polarized epithelia and is necessary for maintaining the transepithelial barrier. In Drosophila, the transmembrane protein Gliotactin was the first identified marker of the TCJ, but little is known about other molecular constituents. We now show that Gliotactin associates with Discs large at the TCJ in a Ca(2+)-dependent manner. Discs large is essential for the formation of the TCJ and the localization of Gliotactin. Surprisingly, Gliotactin localization at the TCJ was independent of its PDZ-binding motif and Gliotactin did not bind directly to Discs large. Therefore Gliotactin and Discs large association is through intermediary proteins at the TCJ. Gliotactin can associate with other septate junction proteins but this was detected only when Gliotactin was overexpressed and spread throughout the septate junction domain. Gliotactin overexpression and spread also resulted in a reduction of Discs large staining but not vice versa. These results suggest that Discs large participates in different protein interactions in the SJ and the TCJ. Finally this work supports a model where Gliotactin and Dlg are components of a larger protein complex that links the converging SJs with the TCJ to create the transepithelial barrier.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".