Girdin controls the pace of 3D tracheal cell intercalation by coupling adherens junctions to the actin cytoskeleton in <i>Drosophila</i>
Bibliographic record
Abstract
Abstract Morphogenesis is orchestrated through coordinated cell movements, including cell intercalation, which drives extensive changes in cell shape and position. This process requires precise regulation of interactions between Adherens Junctions (AJs) and the cortical actin network to generate the necessary mechanical forces. Although the Myosin molecular motor II plays a central role in generating morphogenetic forces, it is dispensable for processes such as dorsal branch (DB) morphogenesis in the Drosophila tracheal system, where coordinated cell migration and three-dimensional intercalation rely on alternative, yet poorly characterised mechanisms of force generation. Here, we show that Vinculin and Ajuba LIM protein, two key regulators of mechano-transduction and cell adhesion, do not localise to AJs of DBs, while the cytoskeletal adaptor Girdin does. We demonstrate that Girdin’s function relies on AJ components α-Catenin and E-Cadherin and is specifically required in tracheal cells to ensure the proper pace of cell intercalation. In addition, Girdin contributes to the actin network enrichment at AJs. Its role as an integral AJ component is further elucidated through the development of a novel genetic tool enabling in vivo cell-specific actin depolymerisation. Summary Statement Drosophila Girdin contributes to the pace of tracheal cell intercalation by linking adherens junctions to actin. A genetic tool for actin depolymerisation reveals Girdin as a key adherens junction component.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".