Slik Interacts with Semaphorin-1a in regulating photoreceptor axon guidance in the Drosophila visual system
Bibliographic record
Abstract
Brain wiring occurs during the development of the nervous system and ensures the formation of a highly complex network of intercommunicating neurons.For these circuits to be established, neurons form remarkably accurate connections with their target cells.The fruit fly visual system is an excellent model to study the formation and function of neural circuits, given the numerous architectural similarities between the visual system of the Drosophila and vertebrates at molecular, cellular, and network levels.Our lab has recently identified a novel mechanism by which Semaphorin-1a (Sema1a) reverse signaling upregulates axon-axon attraction in the developing Drosophila visual system.Sema1a promotes phosphorylation and activation of Moesin (Moe), a member of the ezrin/radixin/moesin family of proteins.Moe in turn downregulates the level of active Rho1 in photoreceptor axons leading to the upregulation of Fas2 mediated axon-axon attraction.To determine the mechanisms by which Sema1a promotes the phosphorylation of Moe, we tested candidate genes for interacting with Sema1a in regulating Moe.We found that Slik, a Ser/Thr kinase expressed in photoreceptor cells, interacts genetically with Sema1a and Moe in regulating axon-axon association.We then performed eye-specific genetic mosaic analysis and demonstrated that slik is required cell-autonomously in R1-R6 axon-axon association.To further determine how slik acts in the Sema1a reverse signaling pathway, we examined the effects of manipulating the levels of Slik on Fas2-mediated cell aggregation.The results show that Slik, like Sema1a, enhances Fas2 adhesive function.To further elucidate the Sema1a signaling pathway, we then investigate the potential physical interaction between Slik and Sema1a, and our result suggests that Sema1a and Slik interact physically to one another.
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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 | 0.001 |
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".