Anatomical characterization of the neuropeptide S system in the mouse brain by in situ hybridization and immunohistochemistry
Bibliographic record
Abstract
Neuropeptide S (NPS) is the endogenous ligand for GPR154, now referred to as neuropeptide S receptor (NPSR). Physiologically, NPS has been characterized as a modulator of arousal and has been shown to produce anxiolytic-like effects in rodents. Neuroanatomical analysis in the rat revealed that the NPS precursor mRNA is strongly expressed in the brainstem in only three distinct regions: the locus coeruleus area, the principal sensory trigeminal nucleus, and the lateral parabrachial nucleus. NPSR mRNA expression in the rat is widely distributed, with the strongest expression in the olfactory nuclei, amygdala, subiculum, and some cortical structures, as well as various thalamic and hypothalamic regions. Here we report a comprehensive map of NPS precursor and receptor mRNA expression in the mouse brain. NPS precursor mRNA is only expressed in two regions in the mouse brainstem: the Kölliker-Fuse nucleus and the pericoerulear area. Strong NPSR mRNA expression was found in the dorsal endopiriform nucleus, the intra-midline thalamic and hypothalamic regions, the basolateral amgydala, the subiculum, and various cortical regions. In order to elucidate projections from NPS-producing nuclei in the brainstem to NPSR-expressing structures throughout the brain, we performed immunohistochemical analysis in the mouse brain by using two polyclonal anti-NPS antisera. The distribution of NPS-immunopositive fibers overlaps well with NPSR mRNA expression in thalamic and hypothalamic regions. Mismatches between NPSR expression and NPS-immunoreactive fiber staining were observed in hippocampal, olfactory, and cortical regions. These data demonstrate that the distribution pattern of the central NPS system is only partially conserved between mice and rats.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".