Expression and localization of agrin during sympathetic synapse formation <i>in vitro</i>
Bibliographic record
Abstract
Agrin is a motoneuron-derived signaling factor that plays a key organizing role in the initial stages of neuromuscular synapse formation. Agrin is expressed in other regions of the developing central and peripheral nervous systems, however, raising the possibility that it also directs the formation of some interneuronal synapses. To address this question, we have examined the expression and localization of agrin during formation of cholinergic, interneuronal synapses in the sympathetic system. In the superior cervical ganglia (SCG) in vivo, we found that agrin is highly expressed, and that it is present at, but is not limited to, synapses. In SCG neuronal cultures that were treated with ciliary neurotrophic factor to induce a uniform cholinergic phenotype, we found that agrin immunostaining colocalized precisely with cholinergic terminals and aggregates of neuronal acetylcholine receptor on the neuronal cell bodies and dendrites. Moreover, we found that alpha-dystroglycan, which is a potential receptor for agrin, is also concentrated at these cholinergic synaptic contacts. Finally, the SCG neurons expressed the C-terminal isoform of agrin that is neural-specific and highly active in synaptogenesis, and also the N-terminal splice isoform that occurs as a type II transmembrane protein. These findings show that agrin is specifically localized at sympathetic synapses in vitro, and are consistent with it playing a role in interneuronal synapse formation.
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) | 0.000 | 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 | 0.001 |
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".