Steroid hormone-dependent glial-neuronal interaction promotes brain development during <i>Drosophila</i> metamorphosis
Bibliographic record
Abstract
Abstract Steroid hormones regulate various aspects of brain development in metazoans. In the fruit fly Drosophila melanogaster , the primary steroid hormone ecdysone enters the central nervous system (CNS) via Ecdysone Importer (EcI) in the blood-brain barrier (BBB) and induces brain development during metamorphosis. However, our understanding of the exact cell types that require ecdysone during CNS transformation is still limited. Here, we report that ecdysone-dependent glial-neuronal interaction promotes brain development during Drosophila metamorphosis. Unexpectedly, disrupting ecdysone signaling in glial cells caused more severe defects in CNS transformation than in neurons, suggesting an essential role of glia in ecdysone-dependent brain development. When ecdysone receptor was knocked down in mushroom body (MB) neurons, pruning of their larval-specific axonal lobes was disrupted as reported previously. In contrast, knockdown of EcI in the MB did not induce any discernible deficiency in neuronal remodeling, suggesting dispensability of EcI-mediated ecdysone entry into the MB. Consistent with this, the neuronal remodeling defects induced by EcI knockdown in the BBB were rescued by glial cell-specific overexpression of a transforming growth factor-β ligand myoglianin and an engulfment receptor draper , both of which are upregulated in glial cells in an ecdysone-dependent manner. Collectively, our findings suggest that ecdysone is primarily required in glial cells for CNS transformation during metamorphosis, elucidating a hormone-dependent glial-neuronal interaction that drives brain development.
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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 | 0.000 |
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".