Impaired larval motor function in a zebrafish Stathmin-2 (STMN2) knockout model
Bibliographic record
Abstract
Abstract Stathmin-2 (STMN2) is a microtubule associated protein that plays a role in the stability of microtubules of axons in the nervous system of animals. In this study we generated a novel zebrafish STMN2 knockout (KO) model. STMN2 is represented by two genes in the zebrafish genome: stmn2a and stmn2b . Using the CRISPR/Cas9 mutagenic system we selected founder fish lines harbouring frameshift mutations in both genes and bred these together to generate a double stmn2a and stmn2b KO model. Using these models, we observed increased developmental lethality in our double stmn2a and stmn2b KO model and impaired motor function at larval stages of development. Examination of the larval neuromuscular junction (NMJ) revealed a slight increase in the number of orphaned NMJs in trunk musculature as well as a reduction in amplitude of miniature endplate currents in our double stmn2a and stmn2b KO model. In a final series of experiments, we show impaired ventral root axon regrowth following transection in double stmn2a and stmn2b KO larvae. Our findings suggest that while not essential for motor axon development, loss of stmn2a and stmn2b expression perturbs the assembly of zebrafish NMJs during development resulting in a minor motor phenotype and impairs that ability to regenerate motor axons following injury.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".