Normal dendritic arborization in spinal motoneurons requires neurofilament subunit L
Bibliographic record
Abstract
Neurofilaments, composed of three polypeptide subunits, NF-L, NF-M, and NF-H, are major cytoskeletal elements in large neurons with long axons. Neurofilaments play a critical role in the development of axonal diameter; however, their role in the development of dendrites is largely unknown. By overexpressing different neurofilament subunits, we previously demonstrated that alteration of neurofilament subunit composition resulted in dramatic changes in dendritic arborization. To further determine the role of neurofilaments in dendritic growth, we examined and compared the dendritic architecture of spinal cord neurons in young NF-L knockout (-/-), heterozygous (+/-), and wild-type (+/+) mice. We show that an absence or reduction in the expression of NF-L inhibited dendritic growth most dramatically in large motoneurons, mildly in medium neurons, but had no effect on small neurons. We also reveal that a decrease in NF-L leads to an increase in NF-M and NF-H subunits in cell bodies and their reduction in dendrites. These results demonstrate that NF-L is a critical intrinsic factor for dendritic growth in large motoneurons.
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 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".