Bnip3 expression is strongly associated with reelin-positive entorhinal cortex layer II neurons
Bibliographic record
Abstract
Abstract In layer II of the entorhinal cortex, the principal neurons that project to the dentate gyrus and the CA3/2 hippocampal fields express the large glycoprotein reelin (Re+ ECLII-neurons). In rodents, neurons located at the dorsal extreme of the entorhinal cortex that thus border the rhinal fissure, express the highest levels, and the expression gradually decreases at levels successively further away from the rhinal fissure. Here we test two predictions following from the hypothesis that reelin expression is strongly correlated with neuronal metabolic rate. Since mitochondrial turnover rate serves as a proxy for energy expenditure, we predicted that the expression of the canonical promitophagic BCL2 and adenovirus E1B 19-kDa-interacting protein 3 (Bnip3) would be upregulated in Re+ ECLII-neurons, and that the degree of upregulation would strongly correlate with the expression level of reelin in these neurons. We confirm both predictions, which implies that the energy requirement of Re+ ECLII-neurons is generally high, and that there is a systematic decrease in metabolic rate in these neurons as one moves successively away from the rhinal fissure. We tentatively suggest that the reasons for the high energy requirement of these neurons are their high rate of synaptic transmission and the high frequency by which they remold their synaptic contacts. This implies that the systematic variation in energy requirement of the neurons manifesting the observed reelin gradient ties in with the level of spatial and temporal detail by which they encode information about the external environment.
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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 | 0.000 | 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) | 0.001 | 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 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".