The P2X7-Receptor – A novel candidate-gene for depression
Bibliographic record
Abstract
The ionotropic P2X7-receptor residing in the plasma membrane belongs to the P2X-family of ligand-gated ion channels. It consists of 13 exons encoding a protein of 595 aminoacids. The receptor forms homomeric complexes that open large channels when activated by extracellular ATP. In some cell types, these channels are permeable to molecules up to 900 Da, whereas in others they are permeable only to smaller molecules or exhibit ion selectivity. Although the main function known so far is to mediate several responses in inflammation through processing Il1ß, the receptor is as well involved in neurotransmission, modulating glutamate and GABA release. P2X7 receptors in the nervous system have been localized to microglia, neuronal processes, Müller cells, Schwann cells and astrocytes. In presynaptic terminals it is colocalised with vesicular glutamate transporters. P2X7 was identified as a candidate for depression with the help of linkage studies in different populations (Canada, Germany, United Kingdom). The data are validated through SNP based genotyping in patients and search for SNPs in the MARS-database. The aim of the project is to create and characterize mice in which the mouse sequence was 1. knocked out, 2. replaced through human wt-Sequence, and 3. substituted by a human sequences in which the most prominent SNP is inserted. These mice should be valuable tools to test the efficiency of P2X7-specific drugs and to dissect molecular pathways downstream of P2X7 potentially involved in depression.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".