Immunologic differentiation of two high-affinity neurotensin receptor isoforms in the developing rat brain
Bibliographic record
Abstract
Earlier studies have demonstrated overexpression of NT1 neurotensin receptors in rat brain during the first 2 weeks of life. To gain insight into this phenomenon, we investigated the identity and distribution of NT1 receptor proteins in the brain of 10-day-old rats by using two different NT1 antibodies: one (Abi3) directed against the third intracellular loop and the other (Abi4) against the C-terminus of the receptor. Immunoblot experiments that used Abi3 revealed the presence of two differentially glycosylated forms of the NT1 receptor in developing rat brain: one migrating at 54 and the other at 52 kDa. Whereas the 54-kDa form was expressed from birth to adulthood, the 52-kDa form was detected only at 10 and 15 days postnatal. Only the 52-kDa isoform was recognized by Abi4. By immunohistochemistry, both forms of the receptor were found to be predominantly expressed in cerebral cortex and dorsal hippocampus, in keeping with earlier radioligand binding and in situ hybridization data. However, whereas Abi4 immunoreactivity was mainly concentrated within nerve cell bodies and extensively colocalized with the Golgi marker alpha-mannosidase II, Abi3 immunoreactivity was predominantly located along neuronal processes. These results suggest that the transitorily expressed 52-kDa protein corresponds to an immature, incompletely glycosylated and largely intracellular form of the NT1 receptor and that the 54-kDa protein corresponds to a mature, fully glycosylated, and largely membrane-associated form. They also indicate that antibodies directed against different sequences of G-protein-coupled receptors may yield isoform-specific immunohistochemical labeling patterns in mammalian brain. Finally, the selective expression of the short form of the NT1 receptor early in development suggests that it may play a specific role in the establishment of neuronal circuitry.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".