<i>De Novo</i> GMP Synthesis Is Required for Axon Guidance in Drosophila
Bibliographic record
Abstract
Guanine nucleotides are key players in mediating growth-cone signaling during neural development. The supply of cellular guanine nucleotides in animals can be achieved via the de novo synthesis and salvage pathways. The de novo synthesis of guanine nucleotides is required for lymphocyte proliferation in animals. Whether the de novo synthesis pathway is essential for any other cellular processes, however, remains unknown. In a search for genes required for the establishment of neuronal connectivity in the fly visual system, we identify the burgundy (bur) gene as an essential player in photoreceptor axon guidance. The bur gene encodes the only GMP synthetase in Drosophila that catalyzes the final reaction of de novo GMP synthesis. Loss of bur causes severe defects in axonal fasciculation, retinotopy, and growth-cone morphology, but does not affect photoreceptor differentiation or retinal patterning. Similar defects were observed when the raspberry (ras) gene, encoding for inosine monophosphate dehydrogenase catalyzing the IMP-to-XMP conversion in GMP de novo synthesis, was mutated. Our study thus provides the first in vivo evidence to support an essential and specific role for de novo synthesis of guanine nucleotides in axon guidance.
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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) | 0.001 | 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".