A sustained Hox program delineates brainstem neurons essential for breathing
Bibliographic record
Abstract
Summary Respiratory neurons in the brainstem must diversify and acquire unique properties during development to enable breathing at birth. Dbx1-expressing progenitors give rise to functionally and molecularly distinct excitatory respiratory populations, including rhythm-generating pre-Bötzinger complex (preBötC) neurons and phrenic motor neuron (MN)-projecting rostral Ventral Respiratory Group (rVRG) neurons. These neurons are organized rostrocaudally within the ventral respiratory column (VRC) but, despite their critical functions in breathing, the mechanisms that control their organization and diversification are not well understood. Here, we generate a novel genetic tool to label brainstem neurons within the VRC. We find that rVRG neurons selectively express Hox5 genes through postnatal stages. Selective deletion of all Hox5 paralogs from Dbx1 -derived neurons leads to respiratory dysfunction, perinatal death, and changes in the pattern and amplitude of phrenic MN firing. We show that Hox5 inactivation leads to a caudal expansion of putative preBötC neurons, likely at the expense of the rVRG. Collectively, our findings indicate that Hox5 proteins are required for the delineation and functional specialization of excitatory brainstem neurons essential for breathing.
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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 | 0.001 |
| 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".