Analysis of the over-expression and regulation of the cadherin-catenin complex during border cell migration in the Drosophila ovary
Bibliographic record
Abstract
The cadherin-catenin adhesion complex is crucial for the maintenance of tissue architecture and contributes to various morphogenetic processes. One of my aims was to elucidate whether too much DE-cadherin-mediated adhesion can impede morphogenetic processes such as border cell migration. A second aim was to analyze the regulation of the cadherin-catenin complex during border cell migration, using constructs that covalently link DE-cadherin with either alpha-catenin or Armadillo/beta-catenin, and testing the effect of their over-expression. My analysis was unable to definitively determine whether too much adhesion impedes morphogenetic movements. The results suggested that when the cadherin-catenin complex is over-expressed, either the cells are able to compensate for the increased amount of protein at the membrane, or the biosynthetic pathway becomes overwhelmed and the proteins cannot reach the membrane. The results also suggest that the cytoplasmic tail of DE-cadherin is essential for the regulation of the cadherin-catenin complex during border cell migration.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".