The role of endocytosis in cardioblast migration during Drosophila heart tube formation
Bibliographic record
Abstract
Congenital heart defects affect over 2% of births worldwide. Genome-wide sequencing hasidentified molecular signatures associated with defective cardiac development, but the underlying cellular mechanisms of congenital heart disease remain unclear. In both vertebrates and invertebrates, heart development begins with the assembly of a tube, as cardiac progenitors (cardioblasts) migrate from opposite sides of the embryo, meet medially and form a lumen. Cardioblast migration is associated with dynamic remodeling of the cytoskeleton. Endocytosis, the process used by cells to internalize surface molecules, can regulate cytoskeletal dynamics. We used the fruit fly Drosophila melanogaster to investigate the role of endocytosis in heart tube formation. Using a combination of pharmacological treatments, we found that reducing endocytic activity disrupted cardioblast migration. Inhibiting endocytosis affected the assembly of waves of the molecular motor myosin II that propel cardioblasts forward. Disrupting the GTPase dynamin, necessary for endocytic vesicle fission, led to the formation of membrane tethers at the trailing edge of pericardial cells, a group of support cells that accompany and guide cardioblasts. Membrane tethers held pericardial cells back, slowing cardioblast migration, and were consistent with defective disassembly of cell-matrix adhesions. Overall, our findings suggest that endocytic activity plays both instructive and permissive roles to facilitate cardioblast migration and heart tube formation.
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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".