Investigation of the actin-nucleator spire in controlling the morphology of neuronal dendrites
Bibliographic record
Abstract
A neuron receives sensory and synaptic input through its dendrites.Dendrites in different neuronal cell types exhibit diverse arborization patterns, and this is a key feature providing each cell type with specific properties for information processing.Abnormalities in dendrite morphology have been associated with human diseases but, despite the importance of this, the cellular and molecular mechanisms that control the development of dendrites remain poorly understood.Using the fruit fly Drosophila melanogaster as a model to study dendrite development in vivo, I investigated the role of the actin nucleation factor Spire in a class of nerve cells in Drosophila larvae called dendritic arborization (da) neurons.Through immunohistochemistry I found that Spire is expressed in punctae within dendritic arbors, and with live imaging I found that some of these punctae are motile.Spire is found along dendritic shafts, and also at branch points and branch tips.It strongly co-localizes with markers of the Golgi apparatus, and likely with other components of the endosomal/secretory pathway.The Spire-box, a potential Rab GTPase-binding domain, appears to be important for Spire localization in dendrites.This research provides insight into mechanisms underlying dendrite development in vivo, and could have broader implications for understanding the function of Spire-related proteins in other contexts.their support, guidance, encouragement and scientific advice.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".