Myostatin is a negative regulator of adult neurogenesis in zebrafish
Bibliographic record
Abstract
ABSTRACT Intrinsic and extrinsic inhibition of axonal and neuronal regeneration obstruct spinal cord (SC) repair in mammals. In contrast, adult zebrafish achieve functional recovery after SC damage. While studies of innate SC regeneration have focused on axon regrowth as a primary repair mechanism, how local neurogenesis impacts functional recovery is unknown. We uncovered dynamic expression of myostatin b ( mstnb ) in a niche of dorsal ependymal progenitors after complete SC transection in zebrafish. Genetic loss-of-function in mstnb impaired functional recovery, although glial and axonal bridging across the lesion were unaffected. Using a series of transgenic reporter lines, we quantified the numbers of stem, progenitor, and neuronal cells in the absence of mstnb . We found neural stem cell proliferation was reduced, while newborn neurons were increased in mstnb null tissues, suggesting mstnb is a negative regulator of neurogenesis. Molecularly, neuron differentiation genes were upregulated, while the neural stem cell maintenance gene fgf1b was downregulated in mstnb mutants. Finally, we show that human FGF1 treatment rescued neuronal gene expression in mstnb mutants. These studies uncover unanticipated neurogenic functions for mstnb in adult zebrafish, and establish the importance of local neurogenesis for functional SC repair.
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) | 0.002 | 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".