Bibliographic record
Abstract
Transcripts of the gene encoding the serotonin 2C receptor are modified by RNA editing, a posttranscriptional process that converts adenosines to inosines. This editing changes up to three genomically encoded amino acids located in the second intracellular loop of the G-protein-coupled receptor. Compared with nonedited receptors, extensively edited receptor isoforms activate G protein less efficiently. Studies on mice revealed that 5-HT2C pre-mRNA editing is regulated in a serotonin-dependent manner, and postmortem studies on brain tissues of patients with schizophrenia and major depression found distinct site-specific alterations of this editing in the prefrontal cortex, a brain region expressing a large number of differently edited 5-HT2C mRNA isoforms. At present, the most complex alterations in 5-HT2C pre-mRNA editing were found in brains of depressed suicide victims. In these brains, 5-HT2C receptor isoforms with reduced function are expressed at significantly increased levels, suggesting that the regulation of editing by synaptic serotonin is defective.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".