Sim2 Contributes to Neuroendocrine Hormone Gene Expression in the Anterior Hypothalamus
Bibliographic record
Abstract
Paraventricular (PVN) and supraoptic nuclei of the hypothalamus maintain homeostasis by modulating pituitary hormonal output. PVN and supraoptic nuclei contain five major cell types: oxytocin-, vasopressin-, CRH-, somatostatin-, and TRH-secreting neurons. Sim1, Arnt2, and Otp genes are essential for terminal differentiation of these neurons. One of their common downstream genes, Brn2, is necessary for oxytocin, vasopressin, and CRH cell differentiation. Here we show that Sim2, a paralog of Sim1, contributes to the expression of Trh and Ss genes in the dorsal preoptic area, anterior-periventricular nucleus, and PVN. Sim2 expression overlaps with Trh- and Ss-expressing cells, and Sim2 mutants contain reduced numbers of Trh and Ss cells. Genetically, Sim1 acts upstream of Sim2 and partially compensates for the loss of Sim2. Comparative expression studies at the anterior hypothalamus at early stages reveal that there are separate pools of Trh cells with distinctive molecular codes defined by Sim1 and Sim2 expression. Together with previous reports, our results demonstrate that Sim1 and Otp utilize two common downstream genes, Brn2 and Sim2, to mediate distinctive sets of neuroendocrine hormone gene expression.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".