Concurrent temporal patterning of neural stem cells in the fly visual system
Bibliographic record
Abstract
In the Drosophila optic lobe, medulla neuroblasts (NBs) are patterned by temporal and spatial inputs, which contribute to the generation of the medulla’s ~150 neuron types. Here, we describe a third patterning mechanism that further diversifies neuronal fates in the medulla. The neuroepithelium from which NBs are continuously produced is patterned by opposing temporal gradients of the Imp and Syp RNA-binding proteins and their downstream transcription factors. Imp/Syp patterning results in the generation of seven cell types in successive developmental windows from NBs at the Vsx1–Hth spatial–temporal address. Medulla NBs are thus patterned by two concurrent temporal mechanisms: (1) the Imp/Syp state of the neuroepithelium when they are generated; and (2) the transcription factor cascade that progresses within them as they age. We further find that the birth order of medulla neurons correlates with their position along the anterior-posterior axis of the adult cortex, resulting in unanticipated regionalization of the retinotopic map. The temporal patterning of stem cells generates neural diversity in the nervous system. Here, the authors show that in the Drosophila optic lobe independent temporal mechanisms pattern the symmetric vs asymmetric stages of a neural stem cell lineage.
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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".