Neurotrophin-4, Alone or Heterodimerized with Brain-derived Neurotrophic Factor, Is Sorted to the Constitutive Secretory Pathway
Bibliographic record
Abstract
Nerve growth factor and neurotrophin-3 (NT-3) are processed within the constitutive secretory pathway of neurons and neuroendocrine cells and are released continuously in an activity-independent fashion. In contrast, brain-derived neurotrophic factor (BDNF) is processed in the regulated secretory pathway, stored in vesicles, and released in response to neuronal activity, consistent with its role in modulating synaptic plasticity. In this study, we used vaccinia virus infection and transfection methods to monitor the processing and sorting of neurotrophin-4 (NT-4) in AtT-20 cells, which have been used as a model for the sorting of secretory proteins in neurons. Our data show that NT-4 is processed in the constitutive secretory pathway. The molecule is diffusely distributed within the cells and released, soon after being synthesized, in a manner that is not affected by cell depolarization. We further show that NT-4 and BDNF, when co-expressed, can form heterodimers that are constitutively released. In contrast, heterodimers of NT-3 and BDNF have been shown to be released through the regulated secretory pathway. Thus, NT-4, alone or when co-expressed with BDNF, is processed within and secreted by the constitutive secretory pathway.
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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".