Novel roles of Neurexin in regulating «Drosophila» visual circuit function
Bibliographic record
Abstract
Cell-adhesion molecules are critical components in the intricacies of synaptic integrity and neural circuitry function.Due to their evolutionarily conserved nature among vertebrate and invertebrate systems, they can therefore be investigated across different species to understand their roles and interactions in the molecular basis of human neurological disease and disorder development.The Drosophila melanogaster visual system proves to be a valuable model system to characterize these molecules due to its relative simplicity of neural connectivity and recognizable structural similarity to its mammalian counterparts.Each of the eight photoreceptor neurons (R1-R8) that constitute the individual units in this visual circuitry require their own subset of adhesion molecules to mediate circuit development and function.Recent studies in the Rao lab reveal novel roles of two adhesion molecules Borderless (Bdl) (a member of the IgSF9-family transmembrane proteins) and Dnlg2 (the fly homolog of neuroligin) in R8 photoreceptors.Dnlg2 and Bdl associate with each other and are required for promoting axonal transport of synaptic vesicles (SV) in R8 photoreceptor axons.Since neurexin is a well-known trans-synaptic binding partner of neuroligin in both vertebrates and invertebrates, I hypothesize that the homologs of neurexin in Drosophila (Dnrx) are also involved in regulating SV transport in R8 axons.By performing loss-of-function and cell-typespecific knockdown analysis, I found that Dnrx-1 acts both pre-and post-synaptically in regulating axonal transport of SV components.Interestingly, Dnrx-1-mediated trans-synaptic interactions are also required for specifying R8 subtype identity.These results shed new light on the function of the well-known neurexin family proteins.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".