Neuroendocrine Gene Regulation in Hypothalamic Cell Lines
Bibliographic record
Abstract
The physiological system implicated in the maintenance of energy homeostasis is situated predominantly in the hypothalamus. However, due to the inherent difficulty of studying individual neurons in the brain through in vivo analysis, cell models have been generated to investigate the direct action of hormones or other physiological compounds on metabolic effectors, such as neuropeptides, located in specific cell types from the hypothalamus. Immortalized, clonal cell lines represent an unlimited, homogeneous neuronal population that can be manipulated using a number of molecular techniques. In particular, cell lines have proven to be indispensable in the study of gene structure, gene expression and characterizing the molecular mechanisms responsible for regulating gene expression. In this review, we summarize recent studies that examine the direct transcriptional regulation of neuropeptide Y (NPY) by insulin and the leptin-mediated control of neurotensin (NT) gene expression. The use of these novel cell models has contributed profoundly to our understanding of how peripheral hormones, neuromodulators and neurontransmitters regulate transcriptional events that may ultimately contribute to the control of feeding behaviour.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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".